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Showing 140 publications by Vicente Grau Colomer

Digital pathology transformation in a supraregional germ cell tumour network

Colling R, Protheroe A, Sullivan M, Macpherson R, Tuthill M et al. (2021), Diagnostics, 11(12)

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@article{digitalpatholog-2021/12,
  title={Digital pathology transformation in a supraregional germ cell tumour network},
  author={Colling R, Protheroe A, Sullivan M, Macpherson R, Tuthill M et al.},
  journal={Diagnostics},
  volume={11},
  year = "2021"
}

Learning Cellular Phenotypes through Supervision.

Theissen H, Chakraborti T, Malacrino S, Sirinukunwattana K, Royston D et al. (2021), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, 3592-3595

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@inproceedings{learningcellula-2021/11,
  title={Learning Cellular Phenotypes through Supervision.},
  author={Theissen H, Chakraborti T, Malacrino S, Sirinukunwattana K, Royston D et al.},
  pages={3592-3595},
  year = "2021"
}

Automated Annotator: Capturing Expert Knowledge for Free.

Elmes S, Chakraborti T, Fan M, Uhlig H & Rittscher J (2021), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, 2664-2667

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@inproceedings{automatedannota-2021/11,
  title={Automated Annotator: Capturing Expert Knowledge for Free.},
  author={Elmes S, Chakraborti T, Fan M, Uhlig H & Rittscher J},
  pages={2664-2667},
  year = "2021"
}

DEEP-LEARNING BASED PREDICTION OF CLINICAL ENDPOINTS IN RENAL PRE-IMPLANTATION BIOPSIES USING SLIDE-LEVEL LABELS

Tam KH, Soares MF, Sharples E, Kaisar M, Ploeg R et al. (2021), TRANSPLANT INTERNATIONAL, 34, 159-160

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@inproceedings{deeplearningbas-2021/8,
  title={DEEP-LEARNING BASED PREDICTION OF CLINICAL ENDPOINTS IN RENAL PRE-IMPLANTATION BIOPSIES USING SLIDE-LEVEL LABELS},
  author={Tam KH, Soares MF, Sharples E, Kaisar M, Ploeg R et al.},
  pages={159-160},
  year = "2021"
}

Transcriptome and genome evolution during HER2-amplified breast neoplasia.

Lu P et al. (2021), Breast cancer research : BCR, 23(1), 73

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@article{transcriptomean-2021/7,
  title={Transcriptome and genome evolution during HER2-amplified breast neoplasia.},
  author={Lu P et al.},
  journal={Breast cancer research : BCR},
  volume={23},
  pages={73},
  year = "2021"
}

A pilot study on automatic 3D quantification of Barrett's esophagus for risk stratification and therapy monitoring.

Ali S et al. (2021), Gastroenterology

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@article{apilotstudyonau-2021/6,
  title={A pilot study on automatic 3D quantification of Barrett's esophagus for risk stratification and therapy monitoring.},
  author={Ali S et al.},
  journal={Gastroenterology},
  publisher={Elsevier},
  year = "2021"
}

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment

Ali S, Jha D, Ghatwary N, Realdon S, Cannizzaro R et al. (2021)

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@misc{polypgenamultic-2021/6,
  title={PolypGen: A multi-center polyp detection and segmentation dataset for
  generalisability assessment},
  author={Ali S, Jha D, Ghatwary N, Realdon S, Cannizzaro R et al.},
  year = "2021"
}

Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies

Colling R et al. (2021), Modern Pathology

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@article{artificialintel-2021/5,
  title={Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies},
  author={Colling R et al.},
  journal={Modern Pathology},
  publisher={Springer Nature},
  year = "2021"
}

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

Ghatwary N, Bano S, Polat G, Temizel A, Krenzer A et al. (2021), Medical image analysis, 70, 102002

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@article{deeplearningfor-2021/5,
  title={Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.},
  author={Ghatwary N, Bano S, Polat G, Temizel A, Krenzer A et al.},
  journal={Medical image analysis},
  volume={70},
  number={ARTN 102002},
  pages={102002},
  publisher={Elsevier BV},
  year = "2021"
}

Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy

Gupta S, Ali S, Goldsmith L, Turney B & Rittscher J (2021)

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@misc{multiclassmotio-2021/4,
  title={Multi-class motion-based semantic segmentation for ureteroscopy and
  laser lithotripsy},
  author={Gupta S, Ali S, Goldsmith L, Turney B & Rittscher J},
  year = "2021"
}

Real-time polyp detection, localization and segmentation in colonoscopy using deep learning

Jha D et al. (2021), IEEE Access, 9, 40496-40510

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@article{realtimepolypde-2021/3,
  title={Real-time polyp detection, localization and segmentation in colonoscopy using deep learning },
  author={Jha D et al.},
  journal={IEEE Access},
  volume={9},
  pages={40496-40510},
  publisher={IEEE},
  year = "2021"
}

The potential of artificial intelligence to detect lymphovascular invasion in testicular cancer

Ghosh A et al. (2021), Cancers, 13(6)

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@article{thepotentialofa-2021/3,
  title={The potential of artificial intelligence to detect lymphovascular invasion in testicular cancer},
  author={Ghosh A et al.},
  journal={Cancers},
  volume={13},
  number={1325},
  publisher={MDPI},
  year = "2021"
}

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

Tomar NK, Jha D, Riegler MA, Johansen HD, Johansen D et al. (2021)

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@misc{fanetafeedbacka-2021/3,
  title={FANet: A Feedback Attention Network for Improved Biomedical Image
  Segmentation},
  author={Tomar NK, Jha D, Riegler MA, Johansen HD, Johansen D et al.},
  year = "2021"
}

Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning

Xu Z, Ali S, Gupta S, Celik N & Rittscher J (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12722 LNCS, 87-97

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@inproceedings{improvedartifac-2021/1,
  title={Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning},
  author={Xu Z, Ali S, Gupta S, Celik N & Rittscher J},
  pages={87-97},
  year = "2021"
}

Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection

Chowdhury T, Bajwa ARS, Chakraborti T, Rittscher J & Pal U (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12722 LNCS, 3-17

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@inproceedings{exploringthecor-2021/1,
  title={Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection},
  author={Chowdhury T, Bajwa ARS, Chakraborti T, Rittscher J & Pal U},
  pages={3-17},
  year = "2021"
}

Early Detection of Liver Fibrosis Using Graph Convolutional Networks

Wojciechowska M, Malacrino S, Garcia Martin N, Fehri H & Rittscher J (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12908 LNCS, 217-226

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@inproceedings{earlydetectiono-2021/1,
  title={Early Detection of Liver Fibrosis Using Graph Convolutional Networks},
  author={Wojciechowska M, Malacrino S, Garcia Martin N, Fehri H & Rittscher J},
  pages={217-226},
  year = "2021"
}

Contrastive Representations for Continual Learning of Fine-Grained Histology Images

Chakraborti T, Gleeson F & Rittscher J (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12966 LNCS, 1-9

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@inproceedings{contrastiverepr-2021/1,
  title={Contrastive Representations for Continual Learning of Fine-Grained Histology Images},
  author={Chakraborti T, Gleeson F & Rittscher J},
  pages={1-9},
  year = "2021"
}

EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging

Celik N, Ali S, Gupta S, Braden B & Rittscher J (2021), MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT III, 12903, 303-312

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@inproceedings{endoudaamodalit-2021/,
  title={EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging},
  author={Celik N, Ali S, Gupta S, Braden B & Rittscher J},
  pages={303-312},
  year = "2021"
}

Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation

Celik N, Gupta S, Ali S & Rittscher J (2020)

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@misc{unsupervisedadv-2020/12,
  title={Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation},
  author={Celik N, Gupta S, Ali S & Rittscher J},
  year = "2020"
}

A deep learning framework for quality assessment and restoration in video endoscopy

ALI S et al. (2020), Medical Image Analysis

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@article{adeeplearningfr-2020/11,
  title={A deep learning framework for quality assessment and restoration in
  video endoscopy},
  author={ALI S et al.},
  journal={Medical Image Analysis},
  publisher={Elsevier},
  year = "2020"
}

Artificial intelligence-driven real-time 3D surface quantification of Barrett's oesophagus for risk stratification and therapeutic response monitoring

Ali S et al. (2020), medRxiv

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@misc{artificialintel-2020/10,
  title={Artificial intelligence-driven real-time 3D surface quantification of Barrett's oesophagus for risk stratification and therapeutic response monitoring},
  author={Ali S et al.},
  year = "2020"
}

Artificial intelligence for colonoscopic polyp detection: High performance versus human nature

East JE & Rittscher J (2020), Journal of Gastroenterology and Hepatology, 35(10), 1663-1664

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@article{artificialintel-2020/10,
  title={Artificial intelligence for colonoscopic polyp detection: High performance versus human nature},
  author={East JE & Rittscher J},
  journal={Journal of Gastroenterology and Hepatology},
  volume={35},
  pages={1663-1664},
  publisher={Wiley},
  year = "2020"
}

Detailed Molecular and Immune Marker Profiling of Archival Prostate Cancer Samples Reveals an Inverse Association between TMPRSS2:ERG Fusion Status and Immune Cell Infiltration (vol 22, pg 652, 2020)

Rao SR, Alham NK, Upton E, McIntyre S, Bryant RJ et al. (2020), JOURNAL OF MOLECULAR DIAGNOSTICS, 22(9), 1216-1216

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@article{detailedmolecul-2020/9,
  title={Detailed Molecular and Immune Marker Profiling of Archival Prostate Cancer Samples Reveals an Inverse Association between TMPRSS2:ERG Fusion Status and Immune Cell Infiltration (vol 22, pg 652, 2020)},
  author={Rao SR, Alham NK, Upton E, McIntyre S, Bryant RJ et al.},
  journal={JOURNAL OF MOLECULAR DIAGNOSTICS},
  volume={22},
  pages={1216-1216},
  year = "2020"
}

DeepScratch: single-cell based topological metrics of scratch wound assays

Javer Godinez A, Rittscher J & Sailem H (2020), Computational and Structural Biotechnology Journal, 18, 2501-2509

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@article{deepscratchsing-2020/8,
  title={DeepScratch: single-cell based topological metrics of scratch wound assays},
  author={Javer Godinez A, Rittscher J & Sailem H},
  journal={Computational and Structural Biotechnology Journal},
  volume={18},
  pages={2501-2509},
  publisher={Elsevier},
  year = "2020"
}

Role of digital pathology in diagnostic histopathology in the response to COVID-19: results from a survey of experience in a UK tertiary referral hospital

Browning L et al. (2020), Journal of Clinical Pathology, 74(2), 129-132

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@article{roleofdigitalpa-2020/7,
  title={Role of digital pathology in diagnostic histopathology in the response to COVID-19: results from a survey of experience in a UK tertiary referral hospital},
  author={Browning L et al.},
  journal={Journal of Clinical Pathology},
  volume={74},
  pages={129-132},
  publisher={BMJ},
  year = "2020"
}

Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

Sirinukunwattana K et al. (2020), Gut, 70(3), 544-554

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@article{imagebasedconse-2020/7,
  title={Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning},
  author={Sirinukunwattana K et al.},
  journal={Gut},
  volume={70},
  pages={544-554},
  publisher={BMJ Publishing Group},
  year = "2020"
}

Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective

Browning L et al. (2020), Journal of Clinical Pathology

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@article{digitalpatholog-2020/7,
  title={Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective},
  author={Browning L et al.},
  journal={Journal of Clinical Pathology},
  publisher={BMJ Journals},
  year = "2020"
}

Artificial intelligence-based morphological fingerprinting of megakaryocytes: a new tool for assessing disease in MPN patients

Sirinukunwattana K et al. (2020), Blood Advances, 4(14), 3284-3294

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@article{artificialintel-2020/7,
  title={Artificial intelligence-based morphological fingerprinting of megakaryocytes: a new tool for assessing disease in MPN patients},
  author={Sirinukunwattana K et al.},
  journal={Blood Advances},
  volume={4},
  pages={3284-3294},
  publisher={American Society of Hematology},
  year = "2020"
}

Multi-scale sensorless adaptive optics: application to stimulated emission depletion microscopy

Antonello J et al. (2020), Optics Express, 28(11), 16749-16763

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@article{multiscalesenso-2020/5,
  title={Multi-scale sensorless adaptive optics: application to stimulated emission depletion microscopy},
  author={Antonello J et al.},
  journal={Optics Express},
  volume={28},
  pages={16749-16763},
  publisher={Optical Society of America},
  year = "2020"
}

MI-UNet: improved segmentation in ureteroscopy

Gupta S et al. (2020), Proceedings - International Symposium on Biomedical Imaging, 2020-April, 212-216

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@inproceedings{miunetimproveds-2020/5,
  title={MI-UNet: improved segmentation in ureteroscopy},
  author={Gupta S et al.},
  booktitle={International Symposium on Biomedical Imaging},
  pages={212-216},
  year = "2020"
}

Short trajectory segmentation with 1D UNET Framework: application to secretory vesicle dynamics

Dmitrieva M et al. (2020), 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 891-894

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@inproceedings{shorttrajectory-2020/5,
  title={Short trajectory segmentation with 1D UNET Framework: application to secretory vesicle dynamics},
  author={Dmitrieva M et al.},
  booktitle={2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
  pages={891-894},
  year = "2020"
}

Extracting axial depth and trajectory trend using astigmatism, Gaussian fitting, and CNNs for protein tracking

Delas Penas K et al. (2020), 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1634-1637

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@inproceedings{extractingaxial-2020/4,
  title={Extracting axial depth and trajectory trend using astigmatism, Gaussian fitting, and CNNs for protein tracking},
  author={Delas Penas K et al.},
  booktitle={International Symposium on Biomedical Imaging},
  pages={1634-1637},
  year = "2020"
}

Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments

Lefebvre J et al. (2020), Proceedings - International Symposium on Biomedical Imaging, 2020-April, 1596-1599

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@inproceedings{singlemoleculel-2020/4,
  title={Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments},
  author={Lefebvre J et al.},
  booktitle={IEEE International Symposium on Biomedical Imaging (ISBI'20)},
  pages={1596-1599},
  year = "2020"
}

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention

Fan M et al. (2020), Proceedings - International Symposium on Biomedical Imaging, 2020-April, 169-173

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@inproceedings{finegrainedmult-2020/4,
  title={Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention},
  author={Fan M et al.},
  booktitle={IEEE International Symposium on Biomedical Imaging (ISBI'20)},
  pages={169-173},
  year = "2020"
}

KCML: a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens

Sailem HZ, Rittscher J & Pelkmans L (2020), Molecular Systems Biology, 16(3)

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@article{kcmlamachinelea-2020/3,
  title={KCML: a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens},
  author={Sailem HZ, Rittscher J & Pelkmans L},
  journal={Molecular Systems Biology},
  volume={16},
  number={e9083},
  publisher={Wiley Open Access },
  year = "2020"
}

Additive angular margin for few shot learning to classify clinical endoscopy images

Ali S et al. (2020), arXiv

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@inproceedings{additiveangular-2020/3,
  title={Additive angular margin for few shot learning to classify clinical  endoscopy images},
  author={Ali S et al.},
  year = "2020"
}

Detailed molecular and immune marker profiling of archival prostate cancer samples reveals an inverse association between TMPRSS2:ERG fusion status and immune cell infiltration

Rao SR et al. (2020), Journal of Molecular Diagnostics, 22(5), 652-669

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@article{detailedmolecul-2020/3,
  title={Detailed molecular and immune marker profiling of archival prostate cancer samples reveals an inverse association between TMPRSS2:ERG fusion status and immune cell infiltration},
  author={Rao SR et al.},
  journal={Journal of Molecular Diagnostics},
  volume={22},
  pages={652-669},
  publisher={Elsevier},
  year = "2020"
}

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Ali S et al. (2020), Scientific reports, 10(1), 2748

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@article{anobjectivecomp-2020/2,
  title={An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy},
  author={Ali S et al.},
  journal={Scientific reports},
  volume={10},
  pages={2748},
  publisher={Springer Nature},
  year = "2020"
}

Motion induced segmentation of stone fragments in ureteroscopy video

Gupta S et al. (2020), Proceedings of SPIE - The International Society for Optical Engineering, 11315

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@inproceedings{motioninducedse-2020/2,
  title={Motion induced segmentation of stone fragments in ureteroscopy video},
  author={Gupta S et al.},
  booktitle={SPIE Medical Imaging},
  year = "2020"
}

Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning.

Shah M, Roomans Ledo A & Rittscher J (2020), Acta ophthalmologica

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@article{automatedclassi-2020/1,
  title={Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning.},
  author={Shah M, Roomans Ledo A & Rittscher J},
  journal={Acta ophthalmologica},
  year = "2020"
}

Proceedings of the ENDOCV 2020 2nd international workshop and challenge on computer vision in endoscopy

Ali S et al. (2020), CEUR Workshop Proceedings, 2595, 1-7

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@inproceedings{proceedingsofth-2020/1,
  title={Proceedings of the ENDOCV 2020 2nd international workshop and challenge on computer vision in endoscopy},
  author={Ali S et al.},
  pages={1-7},
  year = "2020"
}

DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks

Torr A et al. (2020), Communications in Computer and Information Science, 1248 CCIS, 155-167

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@inproceedings{deepsplitsegmen-2020/1,
  title={DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks},
  author={Torr A et al.},
  pages={155-167},
  year = "2020"
}

Improving Pathological Distribution Measurements with Bayesian Uncertainty

Tam KH et al. (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12443 LNCS, 61-70

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@inproceedings{improvingpathol-2020/1,
  title={Improving Pathological Distribution Measurements with Bayesian Uncertainty},
  author={Tam KH et al.},
  pages={61-70},
  year = "2020"
}

Implementation of digital pathology into diagnostic practice: perceptions and opinions of histopathology trainees and implications for training

Browning L et al. (2019), Journal of Clinical Pathology

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@article{implementationo-2019/10,
  title={Implementation of digital pathology into diagnostic practice: perceptions and opinions of histopathology trainees and implications for training},
  author={Browning L et al.},
  journal={Journal of Clinical Pathology},
  publisher={BMJ Publishing Group},
  year = "2019"
}

Semantic filtering through deep source separation on microscopy images

Javer A & Rittscher J (2019), Machine Learning in Medical Imaging, 11861, 498-506

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@article{semanticfilteri-2019/10,
  title={Semantic filtering through deep source separation on microscopy images},
  author={Javer A & Rittscher J},
  journal={Machine Learning in Medical Imaging},
  volume={11861},
  pages={498-506},
  publisher={Springer},
  year = "2019"
}

Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping

Ali S & Rittscher J (2019), Machine Learning in Medical Imaging, 11861, 489-497

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@article{convwarpanunsup-2019/10,
  title={Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping},
  author={Ali S & Rittscher J},
  journal={Machine Learning in Medical Imaging},
  volume={11861},
  pages={489-497},
  publisher={Springer},
  year = "2019"
}

Protein Tracking by CNN-Based Candidate Pruning and Two-Step Linking with Bayesian Network

Dmitrieva M et al. (2019), IEEE International Workshop on Machine Learning for Signal Processing, MLSP, 2019-October

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@inproceedings{proteintracking-2019/10,
  title={Protein Tracking by CNN-Based Candidate Pruning and Two-Step Linking with Bayesian Network},
  author={Dmitrieva M et al.},
  booktitle={2019 IIEEE 29th International Workshop on Machine Learning for Signal Processing},
  year = "2019"
}

Moving to a Digital Pathology Supraregional Germ Cell Tumour Service

Colling RT et al. (2019), JOURNAL OF PATHOLOGY, 249, S29-S29

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@inproceedings{movingtoadigita-2019/9,
  title={Moving to a Digital Pathology Supraregional Germ Cell Tumour Service},
  author={Colling RT et al.},
  pages={S29-S29},
  year = "2019"
}

Characterization of Biological Motion Using Motion Sensing Superpixels.

Zhou FY, Ruiz-Puig C, Owen RP, White MJ, Rittscher J et al. (2019), Bio-protocol, 9(18), e3365

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@misc{characterizatio-2019/9,
  title={Characterization of Biological Motion Using Motion Sensing Superpixels.},
  author={Zhou FY, Ruiz-Puig C, Owen RP, White MJ, Rittscher J et al.},
  year = "2019"
}

Ink removal from histopathology whole slide images by combining classification, detection and image generation models

Ali S et al. (2019), 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 928-932

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@article{inkremovalfromh-2019/7,
  title={Ink removal from histopathology whole slide images by combining classification, detection and image generation models},
  author={Ali S et al.},
  journal={2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
  pages={928-932},
  publisher={IEEE},
  year = "2019"
}

Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract

Ali S & Rittscher J (2019), 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

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@inproceedings{efficientvideoi-2019/7,
  title={Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract},
  author={Ali S & Rittscher J},
  year = "2019"
}

Correction: Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes.

Zhou FY et al. (2019), eLife, 8

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@misc{correctionmotio-2019/7,
  title={Correction: Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes.},
  author={Zhou FY et al.},
  year = "2019"
}

Capturing variations in nuclear phenotypes

Raman S et al. (2019), Journal of Computational Science , 36

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@article{capturingvariat-2019/7,
  title={Capturing variations in nuclear phenotypes},
  author={Raman S et al.},
  journal={ Journal of Computational Science  },
  volume={36},
  number={101014},
  publisher={Elsevier},
  year = "2019"
}

Towards the identification of histology based subtypes in prostate cancer

Chatrian A et al. (2019), 2019 IEEE 16th International Symposium On Biomedical Imaging (ISBI 2019), 948-952

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@inproceedings{towardstheident-2019/7,
  title={Towards the identification of histology based subtypes in prostate cancer},
  author={Chatrian A et al.},
  booktitle={2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
  pages={948-952},
  year = "2019"
}

Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

RITTSCHER J et al. (2019)

Altmetric score is
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@misc{imagebasedconse-2019/5,
  title={Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning},
  author={RITTSCHER J et al.},
  year = "2019"
}

Motion Sensing Superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes

Zhou F et al. (2019), eLife, 8, e40162

Altmetric score is
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@article{motionsensingsu-2019/2,
  title={Motion Sensing Superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes},
  author={Zhou F et al.},
  journal={eLife},
  volume={8},
  pages={e40162},
  publisher={eLife Sciences Publications},
  year = "2019"
}

The use of digital pathology and image analysis in clinical trials

Pell R et al. (2019), Journal of Pathology: Clinical Research, 5(2), 81-90

Altmetric score is
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@article{theuseofdigital-2019/2,
  title={The use of digital pathology and image analysis in clinical trials},
  author={Pell R et al.},
  journal={Journal of Pathology: Clinical Research},
  volume={5},
  pages={81-90},
  publisher={Wiley},
  year = "2019"
}

Identification of C. elegans strains using a fully convolutional neural network on behavioural dynamics

Javer A et al. (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11134 LNCS, 455-464

Altmetric score is
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@inproceedings{identificationo-2019/1,
  title={Identification of C. elegans strains using a fully convolutional neural network on behavioural dynamics},
  author={Javer A et al.},
  booktitle={European Conference on Computer Vision},
  pages={455-464},
  year = "2019"
}

Precision immunoprofiling by image analysis and artificial intelligence

Koelzer VH et al. (2018), Virchows Archiv, 474(4), 511-522

Altmetric score is
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@article{precisionimmuno-2018/11,
  title={Precision immunoprofiling by image analysis and artificial intelligence},
  author={Koelzer VH et al.},
  journal={Virchows Archiv},
  volume={474},
  pages={511-522},
  publisher={Springer Berlin Heidelberg},
  year = "2018"
}

Improving whole slide segmentation through visual context: a systematic study

Sirinukunwattana K et al. (2018), MICCAI 2018: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 11071, 192-200

Altmetric score is
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@inproceedings{improvingwholes-2018/9,
  title={Improving whole slide segmentation through visual context: a systematic study},
  author={Sirinukunwattana K et al.},
  pages={192-200},
  year = "2018"
}

Pathologist Assessment of Novel Histological Features in Prostate Cancer

Tupper PM et al. (2018), JOURNAL OF PATHOLOGY, 246, S42-S42

Altmetric score is
BibTeX
@inproceedings{pathologistasse-2018/9,
  title={Pathologist Assessment of Novel Histological Features in Prostate Cancer},
  author={Tupper PM et al.},
  pages={S42-S42},
  year = "2018"
}

Global probabilistic models for enhancing segmentation with convolutional networks

Fan M & Rittscher J (2018), IEEE International Symposium on Biomedical Imaging, 2018(1)

Altmetric score is
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@inproceedings{globalprobabili-2018/5,
  title={Global probabilistic models for enhancing segmentation with convolutional networks},
  author={Fan M & Rittscher J},
  year = "2018"
}

Sensorless adaptive optics for isoSTED nanoscopy

Antonello J et al. (2018), Progress in Biomedical Optics and Imaging - Proceedings of SPIE: Adaptive Optics and Wavefront Control for Biological Systems IV, 10502

Altmetric score is
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@inproceedings{sensorlessadapt-2018/2,
  title={Sensorless adaptive optics for isoSTED nanoscopy},
  author={Antonello J et al.},
  year = "2018"
}

Discovery of rare phenotypes in cellular images using weakly supervised deep learning

Sailem H et al. (2018), IEEE Conference on Computer Vision Workshops (ICCVW 2017)

Altmetric score is
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@inproceedings{discoveryofrare-2018/1,
  title={Discovery of rare phenotypes in cellular images using weakly supervised deep learning},
  author={Sailem H et al.},
  year = "2018"
}

Analysis of live cell images: methods, tools and opportunities

Nketia T et al. (2017), Methods, 115, 65-79

Altmetric score is
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@article{analysisoflivec-2017/2,
  title={Analysis of live cell images: methods, tools and opportunities},
  author={Nketia T et al.},
  journal={Methods},
  volume={115},
  pages={65-79},
  publisher={Elsevier},
  year = "2017"
}

Digital Analysis of Tumour Microarchitecture as an Independent Prognostic Tool in Breast Cancer

Roxanis I et al. (2017), LABORATORY INVESTIGATION, 97, 68A-68A

Altmetric score is
BibTeX
@inproceedings{digitalanalysis-2017/2,
  title={Digital Analysis of Tumour Microarchitecture as an Independent Prognostic Tool in Breast Cancer},
  author={Roxanis I et al.},
  booktitle={106th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP)},
  pages={68A-68A},
  year = "2017"
}

Digital Analysis of Tumour Microarchitecture as an Independent Prognostic Tool in Breast Cancer

Roxanis I et al. (2017), MODERN PATHOLOGY, 30, 68A-68A

Altmetric score is
BibTeX
@inproceedings{digitalanalysis-2017/2,
  title={Digital Analysis of Tumour Microarchitecture as an Independent Prognostic Tool in Breast Cancer},
  author={Roxanis I et al.},
  booktitle={106th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP)},
  pages={68A-68A},
  year = "2017"
}

System and method for multiplexed biomarker quantitation using single cell segmentation on sequentially stained tissue

Santamaria-Pang A et al. (2015)

Altmetric score is
BibTeX
@misc{systemandmethod-2015/3,
  title={System and method for multiplexed biomarker quantitation using single cell segmentation on sequentially stained tissue},
  author={Santamaria-Pang A et al.},
  year = "2015"
}

Welcome letter

Angelini E et al. (2015), Proceedings - International Symposium on Biomedical Imaging, 2015-July

Altmetric score is
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@inproceedings{welcomeletter-2015/1,
  title={Welcome letter},
  author={Angelini E et al.},
  year = "2015"
}

CELL SEGMENTATION AND CLASSIFICATION BY HIERARCHICAL SUPERVISED SHAPE RANKING

Santamaria-Pang A et al. (2015), 2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 1296-1299

Altmetric score is
BibTeX
@inproceedings{cellsegmentatio-2015/,
  title={CELL SEGMENTATION AND CLASSIFICATION BY HIERARCHICAL SUPERVISED SHAPE RANKING},
  author={Santamaria-Pang A et al.},
  pages={1296-1299},
  year = "2015"
}

TOWARDS QUANTIFYING THE IMPACT OF CELL BOUNDARY ESTIMATION ON MORPHOMETRIC ANALYSIS FOR PHENOTYPIC SCREENING

Nketia TA et al. (2015), 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 781-784

Altmetric score is
BibTeX
@inproceedings{towardsquantify-2015/,
  title={TOWARDS QUANTIFYING THE IMPACT OF CELL BOUNDARY ESTIMATION ON MORPHOMETRIC ANALYSIS FOR PHENOTYPIC SCREENING},
  author={Nketia TA et al.},
  pages={781-784},
  year = "2015"
}

Epithelial cell segmentation via shape ranking

Santamaria-Pang A et al. (2014), 14, 315-338

Altmetric score is
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@misc{epithelialcells-2014/1,
  title={Epithelial cell segmentation via shape ranking},
  author={Santamaria-Pang A et al.},
  year = "2014"
}

MAPPING FOR TISSUE BASED CYTOMETRY

Rittscher J, Santamaria-Pang A & IEEE (2014), 2014 IEEE 11TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 278-281

Altmetric score is
BibTeX
@inproceedings{mappingfortissu-2014/,
  title={MAPPING FOR TISSUE BASED CYTOMETRY},
  author={Rittscher J, Santamaria-Pang A & IEEE },
  pages={278-281},
  year = "2014"
}

Cell segmentation and classification via unsupervised shape ranking

Santamaria-Pang A, Huangy Y & Rittscher J (2013), Proceedings - International Symposium on Biomedical Imaging, 406-409

Altmetric score is
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@article{cellsegmentatio-2013/8,
  title={Cell segmentation and classification via unsupervised shape ranking},
  author={Santamaria-Pang A, Huangy Y & Rittscher J},
  journal={Proceedings - International Symposium on Biomedical Imaging},
  pages={406-409},
  year = "2013"
}

Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue

Gerdes MJ et al. (2013), Proceedings of the National Academy of Sciences, 110(29), 11982-11987

Altmetric score is
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@article{highlymultiplex-2013/7,
  title={Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue},
  author={Gerdes MJ et al.},
  journal={Proceedings of the National Academy of Sciences},
  volume={110},
  pages={11982-11987},
  publisher={Proceedings of the National Academy of Sciences},
  year = "2013"
}

Monitoring cardiomyocyte motionin real time through image registration and time series analysis

Liu X, Iyengar SG & Rittscher J (2012), Proceedings - International Symposium on Biomedical Imaging, 1308-1311

Altmetric score is
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@inproceedings{monitoringcardi-2012/8,
  title={Monitoring cardiomyocyte motionin real time through image registration and time series analysis},
  author={Liu X, Iyengar SG & Rittscher J},
  pages={1308-1311},
  year = "2012"
}

Tissue segmentation and classification using graph-based unsupervised clustering

Margolis D, Santamaria-Pang A & Rittscher J (2012), Proceedings - International Symposium on Biomedical Imaging, 162-165

Altmetric score is
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@inproceedings{tissuesegmentat-2012/8,
  title={Tissue segmentation and classification using graph-based unsupervised clustering},
  author={Margolis D, Santamaria-Pang A & Rittscher J},
  pages={162-165},
  year = "2012"
}

Digitally adjusting chromogenic dye proportions in brightfield microscopy images.

Bilgin CC et al. (2012), J Microsc, 245(3), 319-330

Altmetric score is
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@article{digitallyadjust-2012/3,
  title={Digitally adjusting chromogenic dye proportions in brightfield microscopy images.},
  author={Bilgin CC et al.},
  journal={J Microsc},
  volume={245},
  pages={319-330},
  year = "2012"
}

Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms

Rittscher J et al. (2011), Proceedings - International Symposium on Biomedical Imaging, 1712-1716

Altmetric score is
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@article{methodsandalgor-2011/11,
  title={Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms},
  author={Rittscher J et al.},
  journal={Proceedings - International Symposium on Biomedical Imaging},
  pages={1712-1716},
  year = "2011"
}

Quantitative biological studies enabled by robust cell tracking

Padfield D, Rittscher J & Roysam B (2011), Proceedings - International Symposium on Biomedical Imaging, 1929-1934

Altmetric score is
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@article{quantitativebio-2011/11,
  title={Quantitative biological studies enabled by robust cell tracking},
  author={Padfield D, Rittscher J & Roysam B},
  journal={Proceedings - International Symposium on Biomedical Imaging},
  pages={1929-1934},
  year = "2011"
}

Non-parametric population analysis of cellular phenotypes

Singh S et al. (2011), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6892 LNCS(PART 2), 343-351

Altmetric score is
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@inproceedings{nonparametricpo-2011/10,
  title={Non-parametric population analysis of cellular phenotypes},
  author={Singh S et al.},
  pages={343-351},
  year = "2011"
}

Multi-class object layout with unsupervised image classification and object localization

Lim SN, Doretto G & Rittscher J (2011), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6938 LNCS(PART 1), 573-585

Altmetric score is
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@inproceedings{multiclassobjec-2011/10,
  title={Multi-class object layout with unsupervised image classification and object localization},
  author={Lim SN, Doretto G & Rittscher J},
  pages={573-585},
  year = "2011"
}

Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis

Padfield D, Rittscher J & Roysam B (2011), Medical Image Analysis, 15(4), 650-668

Altmetric score is
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@article{coupledminimumc-2011/8,
  title={Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis},
  author={Padfield D, Rittscher J & Roysam B},
  journal={Medical Image Analysis},
  volume={15},
  pages={650-668},
  publisher={Elsevier BV},
  year = "2011"
}

Identifying nuclear phenotypes using semi-supervised metric learning

Singh S et al. (2011), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6801 LNCS, 398-410

Altmetric score is
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@inproceedings{identifyingnucl-2011/6,
  title={Identifying nuclear phenotypes using semi-supervised metric learning},
  author={Singh S et al.},
  pages={398-410},
  year = "2011"
}

LPSM: Fitting shape model by linear programming

Tu J et al. (2011), 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, 252-258

Altmetric score is
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@inproceedings{lpsmfittingshap-2011/6,
  title={LPSM: Fitting shape model by linear programming},
  author={Tu J et al.},
  pages={252-258},
  year = "2011"
}

Appearance-based person reidentification in camera networks: Problem overview and current approaches

Doretto G et al. (2011), Journal of Ambient Intelligence and Humanized Computing, 2(2), 127-151

Altmetric score is
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@article{appearancebased-2011/6,
  title={Appearance-based person reidentification in camera networks: Problem overview and current approaches},
  author={Doretto G et al.},
  journal={Journal of Ambient Intelligence and Humanized Computing},
  volume={2},
  pages={127-151},
  year = "2011"
}

Non-parametric population analysis of cellular phenotypes.

Singh S et al. (2011), Med Image Comput Comput Assist Interv, 14(Pt 2), 343-351

Altmetric score is
BibTeX View PDF
@article{nonparametricpo-2011/,
  title={Non-parametric population analysis of cellular phenotypes.},
  author={Singh S et al.},
  journal={Med Image Comput Comput Assist Interv},
  volume={14},
  pages={343-351},
  year = "2011"
}

Identifying nuclear phenotypes using semi-supervised metric learning.

Singh S et al. (2011), Inf Process Med Imaging, 22, 398-410

Altmetric score is
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@article{identifyingnucl-2011/,
  title={Identifying nuclear phenotypes using semi-supervised metric learning.},
  author={Singh S et al.},
  journal={Inf Process Med Imaging},
  volume={22},
  pages={398-410},
  year = "2011"
}

Automated training data generation for microscopy focus classification

Gao D et al. (2010), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6362 LNCS(PART 2), 446-453

Altmetric score is
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@article{automatedtraini-2010/11,
  title={Automated training data generation for microscopy focus classification},
  author={Gao D et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={6362 LNCS},
  pages={446-453},
  year = "2010"
}

Characterization of biological processes through automated image analysis.

Rittscher J (2010), Annu Rev Biomed Eng, 12, 315-344

Altmetric score is
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@article{characterizatio-2010/8,
  title={Characterization of biological processes through automated image analysis.},
  author={Rittscher J},
  journal={Annu Rev Biomed Eng},
  volume={12},
  pages={315-344},
  year = "2010"
}

Analysis of spatial variation of nuclear morphology in tissue microenvironments

Singh S et al. (2010), 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, 1293-1296

Altmetric score is
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@article{analysisofspati-2010/8,
  title={Analysis of spatial variation of nuclear morphology in tissue microenvironments},
  author={Singh S et al.},
  journal={2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings},
  pages={1293-1296},
  year = "2010"
}

Automated training data generation for microscopy focus classification.

Gao D et al. (2010), Med Image Comput Comput Assist Interv, 13(Pt 2), 446-453

Altmetric score is
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@article{automatedtraini-2010/,
  title={Automated training data generation for microscopy focus classification.},
  author={Gao D et al.},
  journal={Med Image Comput Comput Assist Interv},
  volume={13},
  pages={446-453},
  year = "2010"
}

A model change detection approach to dynamic scene modeling

Kim SJ et al. (2009), 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009, 490-495

Altmetric score is
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@article{amodelchangedet-2009/12,
  title={A model change detection approach to dynamic scene modeling},
  author={Kim SJ et al.},
  journal={6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009},
  pages={490-495},
  year = "2009"
}

Coupled minimum-cost flow cell tracking

Padfield D, Rittscher J & Roysam B (2009), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5636 LNCS, 374-385

Altmetric score is
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@article{coupledminimumc-2009/9,
  title={Coupled minimum-cost flow cell tracking},
  author={Padfield D, Rittscher J & Roysam B},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={5636 LNCS},
  pages={374-385},
  year = "2009"
}

Spatio-temporal cell cycle phase analysis using level sets and fast marching methods

Padfield D et al. (2009), Medical Image Analysis, 13(1), 143-155

Altmetric score is
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@article{spatiotemporalc-2009/2,
  title={Spatio-temporal cell cycle phase analysis using level sets and fast marching methods},
  author={Padfield D et al.},
  journal={Medical Image Analysis},
  volume={13},
  pages={143-155},
  publisher={Elsevier BV},
  year = "2009"
}

Automated System and method for screening zebrafish

Rittscher J et al. (2009)

Altmetric score is
BibTeX
@misc{automatedsystem-2009/,
  title={Automated System and method for screening zebrafish},
  author={Rittscher J et al.},
  year = "2009"
}

Coupled minimum-cost flow cell tracking.

Padfield D, Rittscher J & Roysam B (2009), Inf Process Med Imaging, 21, 374-385

Altmetric score is
BibTeX View PDF
@article{coupledminimumc-2009/,
  title={Coupled minimum-cost flow cell tracking.},
  author={Padfield D, Rittscher J & Roysam B},
  journal={Inf Process Med Imaging},
  volume={21},
  pages={374-385},
  year = "2009"
}

Methods for monitoring cellular motion and function

Padfield D, Rittscher J & Roysam B (2008), Conference Record - Asilomar Conference on Signals, Systems and Computers, 47-50

Altmetric score is
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@article{methodsformonit-2008/12,
  title={Methods for monitoring cellular motion and function},
  author={Padfield D, Rittscher J & Roysam B},
  journal={Conference Record - Asilomar Conference on Signals, Systems and Computers},
  pages={47-50},
  year = "2008"
}

Spatio-temporal cell segmentation and tracking for automated screening

Padfield D, Rittscher J & Roysam B (2008), 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, 376-379

Altmetric score is
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@article{spatiotemporalc-2008/9,
  title={Spatio-temporal cell segmentation and tracking for automated screening},
  author={Padfield D, Rittscher J & Roysam B},
  journal={2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI},
  pages={376-379},
  year = "2008"
}

Unified crowd segmentation

Tu P et al. (2008), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5305 LNCS(PART 4), 691-704

Altmetric score is
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@article{unifiedcrowdseg-2008/1,
  title={Unified crowd segmentation},
  author={Tu P et al.},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={5305 LNCS},
  pages={691-704},
  year = "2008"
}

Microscopic Image Analysis for Life Science Applications

Rittscher J, Machiraju R & Wong STC (2008)

Altmetric score is
BibTeX
@book{microscopicimag-2008/,
  title={Microscopic Image Analysis for Life Science Applications},
  author={Rittscher J, Machiraju R & Wong STC},
  publisher={Artech House Publishers},
  year = "2008"
}

View adaptive detection and distributed site wide tracking

Tu P, Krahstoever N & Rittscher J (2007), 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings, 57-62

Altmetric score is
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@article{viewadaptivedet-2007/12,
  title={View adaptive detection and distributed site wide tracking},
  author={Tu P, Krahstoever N & Rittscher J},
  journal={2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings},
  pages={57-62},
  year = "2007"
}

Shape and appearance context modeling

Wang X et al. (2007), Proceedings of the IEEE International Conference on Computer Vision

Altmetric score is
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@article{shapeandappeara-2007/12,
  title={Shape and appearance context modeling},
  author={Wang X et al.},
  journal={Proceedings of the IEEE International Conference on Computer Vision},
  year = "2007"
}

An intelligent video framework for homeland protection

Tu PH et al. (2007), Proceedings of SPIE - The International Society for Optical Engineering, 6562

Altmetric score is
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@article{anintelligentvi-2007/11,
  title={An intelligent video framework for homeland protection},
  author={Tu PH et al.},
  journal={Proceedings of SPIE - The International Society for Optical Engineering},
  volume={6562},
  year = "2007"
}

Multi-target tracking using hybrid particle filtering

Rittscher J, Krahnstoever N & Galup L (2007), Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005, 447-454

Altmetric score is
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@article{multitargettrac-2007/10,
  title={Multi-target tracking using hybrid particle filtering},
  author={Rittscher J, Krahnstoever N & Galup L},
  journal={Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005},
  pages={447-454},
  year = "2007"
}

A multi-objective supplier selection model under stochastic demand conditions

Liao Z & Rittscher J (2007), International Journal of Production Economics, 105(1), 150-159

Altmetric score is
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@article{amultiobjective-2007/1,
  title={A multi-objective supplier selection model under stochastic demand conditions},
  author={Liao Z & Rittscher J},
  journal={International Journal of Production Economics},
  volume={105},
  pages={150-159},
  year = "2007"
}

Optimal pose for face recognition

Liu X, Chen T & Rittscher J (2006), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, 1439-1446

Altmetric score is
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@article{optimalposeforf-2006/12,
  title={Optimal pose for face recognition},
  author={Liu X, Chen T & Rittscher J},
  journal={Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  volume={2},
  pages={1439-1446},
  year = "2006"
}

Person reidentification using spatiotemporal appearance

Gheissari N et al. (2006), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, 1528-1535

Altmetric score is
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@article{personreidentif-2006/12,
  title={Person reidentification using spatiotemporal appearance},
  author={Gheissari N et al.},
  journal={Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  volume={2},
  pages={1528-1535},
  year = "2006"
}

Validation methods for cell cycle analysis algorithms in confocal fluorescence images

Padfield D et al. (2006), 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006

Altmetric score is
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@article{validationmetho-2006/12,
  title={Validation methods for cell cycle analysis algorithms in confocal fluorescence images},
  author={Padfield D et al.},
  journal={2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006},
  year = "2006"
}

Computing phagocytosis index for high-throughput applications

Sebastian T, Rittscher J & Yu L (2006), 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, 2006, 546-549

Altmetric score is
BibTeX
@article{computingphagoc-2006/11,
  title={Computing phagocytosis index for high-throughput applications},
  author={Sebastian T, Rittscher J & Yu L},
  journal={2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings},
  volume={2006},
  pages={546-549},
  year = "2006"
}

Spatio-temporal cell cycle analysis using 3D level set segmentation of unstained nuclei in line scan confocal fluorescence images

Padfield DR et al. (2006), 2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3, 1036-+

Altmetric score is
BibTeX
@inproceedings{spatiotemporalc-2006/,
  title={Spatio-temporal cell cycle analysis using 3D level set segmentation of unstained nuclei in line scan confocal fluorescence images},
  author={Padfield DR et al.},
  pages={1036-+},
  year = "2006"
}

Detecting and counting people in surveillance applications

Liu X et al. (2005), IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005, 2005, 306-311

Altmetric score is
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@article{detectingandcou-2005/12,
  title={Detecting and counting people in surveillance applications},
  author={Liu X et al.},
  journal={IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005},
  volume={2005},
  pages={306-311},
  year = "2005"
}

Potential analysis made by oneself

Keller M & Rittscher J (2005), STAHL UND EISEN, 125(6), 22-23

Altmetric score is
BibTeX
@article{potentialanalys-2005/6,
  title={Potential analysis made by oneself},
  author={Keller M & Rittscher J},
  journal={STAHL UND EISEN},
  volume={125},
  pages={22-23},
  year = "2005"
}

Activity recognition using visual tracking and RFID

Krahnstoever N et al. (2005), Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005, 494-500

Altmetric score is
BibTeX View PDF
@article{activityrecogni-2005/1,
  title={Activity recognition using visual tracking and RFID},
  author={Krahnstoever N et al.},
  journal={Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005},
  pages={494-500},
  year = "2005"
}

Simultaneous estimation of segmentation and shape

Rittscher J, Tu PH & Krahnstoever N (2005), Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, II, 486-493

Altmetric score is
BibTeX View PDF
@article{simultaneousest-2005/1,
  title={Simultaneous estimation of segmentation and shape},
  author={Rittscher J, Tu PH & Krahnstoever N},
  journal={Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005},
  volume={II},
  pages={486-493},
  year = "2005"
}

Identification

Kelliher TP, Rittscher J & Tu P (2005), 1-7

Altmetric score is
BibTeX View PDF
@misc{identification-2005/1,
  title={Identification},
  author={Kelliher TP, Rittscher J & Tu P},
  year = "2005"
}

Identification

Tu P, Kelliher TP & Rittscher J (2005), 7-13

Altmetric score is
BibTeX View PDF
@misc{identification-2005/1,
  title={Identification},
  author={Tu P, Kelliher TP & Rittscher J},
  year = "2005"
}

Disturbance management in large logistics networks

Hinrichs J et al. (2005), ICIL 2005: Proceedings of the International Conference on Industrial Logistics, 141-152

Altmetric score is
BibTeX
@inproceedings{disturbancemana-2005/,
  title={Disturbance management in large logistics networks},
  author={Hinrichs J et al.},
  pages={141-152},
  year = "2005"
}

Collaborative ramp-up planning and controlling

Hinrichs J et al. (2004), 2nd IEEE International Conference on Industrial Informatics, INDIN'04, 180-183

Altmetric score is
BibTeX
@inproceedings{collaborativera-2004/12,
  title={Collaborative ramp-up planning and controlling},
  author={Hinrichs J et al.},
  pages={180-183},
  year = "2004"
}

Crowd segmentation through emergent labeling

Tu PH & Rittscher J (2004), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3247, 187-198

Altmetric score is
BibTeX View PDF
@article{crowdsegmentati-2004/1,
  title={Crowd segmentation through emergent labeling},
  author={Tu PH & Rittscher J},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume={3247},
  pages={187-198},
  year = "2004"
}

Video content annotation using visual analysis and a large semantic knowledgebase

Hoogs A et al. (2003), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2

Altmetric score is
BibTeX
@article{videocontentann-2003/9,
  title={Video content annotation using visual analysis and a large semantic knowledgebase},
  author={Hoogs A et al.},
  journal={Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  volume={2},
  year = "2003"
}

Mathematical modelling of animate and intentional motion.

Rittscher J et al. (2003), Philos Trans R Soc Lond B Biol Sci, 358(1431), 475-490

Altmetric score is
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@article{mathematicalmod-2003/3,
  title={Mathematical modelling of animate and intentional motion.},
  author={Rittscher J et al.},
  journal={Philos Trans R Soc Lond B Biol Sci},
  volume={358},
  pages={475-490},
  year = "2003"
}

Enabling video annotation using a semantic database extended with visual knowledge

Stein GC et al. (2003), 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I, PROCEEDINGS, 161-164

Altmetric score is
BibTeX
@inproceedings{enablingvideoan-2003/,
  title={Enabling video annotation using a semantic database extended with visual knowledge},
  author={Stein GC et al.},
  pages={161-164},
  year = "2003"
}

Site calibration for large indoor scenes

Tu P, Rittscher J & Kelliher T (2003), IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS, 358-363

Altmetric score is
BibTeX View PDF
@inproceedings{sitecalibration-2003/,
  title={Site calibration for large indoor scenes},
  author={Tu P, Rittscher J & Kelliher T},
  pages={358-363},
  year = "2003"
}

Towards the automatic analysis of complex human body motions

Rittscher J, Blake A & Roberts SJ (2002), IMAGE AND VISION COMPUTING, 20(12), 905-916

Altmetric score is
BibTeX View PDF
@article{towardstheautom-2002/10,
  title={Towards the automatic analysis of complex human body motions},
  author={Rittscher J, Blake A & Roberts SJ},
  journal={IMAGE AND VISION COMPUTING},
  volume={20},
  number={PII S0262-8856(02)00099-9},
  pages={905-916},
  year = "2002"
}

An HMM-based segmentation method for traffic monitoring movies

Kato J et al. (2002), IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9), 1291-1296

Altmetric score is
BibTeX View PDF
@article{anhmmbasedsegme-2002/9,
  title={An HMM-based segmentation method for traffic monitoring movies},
  author={Kato J et al.},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={24},
  pages={1291-1296},
  year = "2002"
}

Guiding random particles by deterministic search

Sullivan J & Rittscher J (2001), Proceedings of the IEEE International Conference on Computer Vision, 1, 323-330

Altmetric score is
BibTeX View PDF
@article{guidingrandompa-2001/1,
  title={Guiding random particles by deterministic search},
  author={Sullivan J & Rittscher J},
  journal={Proceedings of the IEEE International Conference on Computer Vision},
  volume={1},
  pages={323-330},
  year = "2001"
}

Learning and classification of complex dynamics

North B et al. (2000), IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 22(9), 1016-1034

Altmetric score is
BibTeX View PDF
@article{learningandclas-2000/9,
  title={Learning and classification of complex dynamics},
  author={North B et al.},
  journal={IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE},
  volume={22},
  pages={1016-1034},
  year = "2000"
}

Statistical foreground modelling for object localisation

Sullivan J, Blake A & Rittscher J (2000), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1843, 307-323

Altmetric score is
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@inproceedings{statisticalfore-2000/1,
  title={Statistical foreground modelling for object localisation},
  author={Sullivan J, Blake A & Rittscher J},
  pages={307-323},
  year = "2000"
}

A probabilistic background model for tracking

Rittscher J et al. (2000), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1843, 336-350

Altmetric score is
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@inproceedings{aprobabilisticb-2000/1,
  title={A probabilistic background model for tracking},
  author={Rittscher J et al.},
  pages={336-350},
  year = "2000"
}

An integral criterion for detecting boundary edges and textured regions

Rittscher J & Sullivan J (2000), 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS, 1064-1067

Altmetric score is
BibTeX
@inproceedings{anintegralcrite-2000/,
  title={An integral criterion for detecting boundary edges and textured regions},
  author={Rittscher J & Sullivan J},
  pages={1064-1067},
  year = "2000"
}

Classification of human body motion

Rittscher J & Blake A (1999), Proceedings of the IEEE International Conference on Computer Vision, 1, 634-639

Altmetric score is
BibTeX View PDF
@inproceedings{classificationo-1999/1,
  title={Classification of human body motion},
  author={Rittscher J & Blake A},
  pages={634-639},
  year = "1999"
}

Foreign Object Detection and Quantification of Fat Content Using A Novel Multiplexing Electric Field Sensor

Rittscher AE et al. (0), N/A (arXiv)

Altmetric score is
BibTeX
@article{foreignobjectde-/,
  title={Foreign Object Detection and Quantification of Fat Content Using A Novel
  Multiplexing Electric Field Sensor},
  author={Rittscher AE et al.},
  journal={N/A (arXiv)}
}

Endoscopy artifact detection (EAD 2019) challenge dataset

Ali S et al. (0)

Altmetric score is
BibTeX View PDF
@misc{endoscopyartifa-/,
  title={Endoscopy artifact detection (EAD 2019) challenge dataset},
  author={Ali S et al.}
}

Endoscopy disease detection challenge 2020

Ali S et al. (0)

Altmetric score is
BibTeX View PDF
@misc{endoscopydiseas-/,
  title={Endoscopy disease detection challenge 2020},
  author={Ali S et al.}
}

Visualisation of T cell migration in the spleen reveals a network of perivascular pathways that guide entry into T zones

Arnon TI et al. (0), Immunity

Altmetric score is
BibTeX
@article{visualisationof-/,
  title={Visualisation of T cell migration in the spleen reveals a network of perivascular pathways that guide entry into T zones},
  author={Arnon TI et al.},
  journal={Immunity},
  publisher={Elsevier}
}

Microscopic fine-grained instance classification through deep attention

Fan M et al. (0)

Altmetric score is
BibTeX
@misc{microscopicfine-/,
  title={Microscopic fine-grained instance classification through deep attention},
  author={Fan M et al.}
}

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Ali S et al. (0), Medical Image Analysis

Altmetric score is
BibTeX
@article{deeplearningfor-/,
  title={Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy},
  author={Ali S et al.},
  journal={Medical Image Analysis},
  publisher={Elsevier}
}

Tumour irradiation combined with vascular-targeted photodynamic therapy enhances anti-tumour effects in preclinical prostate cancer

Sjoberg H et al. (0), British Journal of Cancer

Altmetric score is
BibTeX
@article{tumourirradiati-/,
  title={Tumour irradiation combined with vascular-targeted photodynamic therapy enhances anti-tumour effects in preclinical prostate cancer},
  author={Sjoberg H et al.},
  journal={British Journal of Cancer},
  publisher={Springer Nature}
}

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Ali S, dimitrieva M, ghatwary N, bano S, polat G et al. (0), Medical Image Analysis

Altmetric score is
BibTeX
@article{deeplearningfor-/,
  title={Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy},
  author={Ali S, dimitrieva M, ghatwary N, bano S, polat G et al.},
  journal={Medical Image Analysis},
  publisher={Elsevier}
}