Showing 50 publications by Vicente Grau Colomer
Editorial for Special Issue on Foundation Models for Medical Image Analysis.
Wang X, Wang D, Li X, Rittscher J, Metaxas D et al. (2025), Medical image analysis, 100, 103389
BibTeX
@article{editorialforspe-2025/2,
title={Editorial for Special Issue on Foundation Models for Medical Image Analysis.},
author={Wang X, Wang D, Li X, Rittscher J, Metaxas D et al.},
journal={Medical image analysis},
volume={100},
pages={103389},
year = "2025"
}
Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.
Hu Y, Sirinukunwattana K, Li B, Gaitskell K, Domingo E et al. (2025), Medical image analysis, 101, 103437
BibTeX
@article{selfinteractive-2025/1,
title={Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.},
author={Hu Y, Sirinukunwattana K, Li B, Gaitskell K, Domingo E et al.},
journal={Medical image analysis},
volume={101},
pages={103437},
year = "2025"
}
Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis.
Schoenpflug LA, Chatzipli A, Sirinukunwattana K, Richman S, Blake A et al. (2024), The Journal of pathology
BibTeX
@article{tumourpurityass-2024/12,
title={Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis.},
author={Schoenpflug LA, Chatzipli A, Sirinukunwattana K, Richman S, Blake A et al.},
journal={The Journal of pathology},
publisher={Wiley},
year = "2024"
}
Tumor NOS2 and COX2 Spatial Juxtaposition with CD8+ T Cells Promote Metastatic and Cancer Stem Cell Niches that Lead to Poor Outcome in ER- Breast Cancer.
Ridnour LA, Heinz WF, Cheng RY, Wink AL, Kedei N et al. (2024), Cancer research communications
BibTeX
@article{tumornosandcoxs-2024/10,
title={Tumor NOS2 and COX2 Spatial Juxtaposition with CD8+ T Cells Promote Metastatic and Cancer Stem Cell Niches that Lead to Poor Outcome in ER- Breast Cancer.},
author={Ridnour LA, Heinz WF, Cheng RY, Wink AL, Kedei N et al.},
journal={Cancer research communications},
publisher={American Association for Cancer Research (AACR)},
year = "2024"
}
Accurate subtyping of lung cancers by modelling class dependencies
Batchkala G, Li B, Fan M, McCole M, Brambilla C et al. (2024), 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5
BibTeX
@inproceedings{accuratesubtypi-2024/8,
title={Accurate subtyping of lung cancers by modelling class dependencies},
author={Batchkala G, Li B, Fan M, McCole M, Brambilla C et al.},
booktitle={21st IEEE International Symposium on Biomedical Imaging (ISBI 2024)},
pages={1-5},
year = "2024"
}
Quantitative analysis of bone marrow fibrosis highlights heterogeneity in myelofibrosis and augments histological assessment: An Insight from a phase II clinical study of zinpentraxin alfa
Ryou H, Sirinukunwattana K, Wood R, Aberdeen A, Rittscher J et al. (2024), HemaSphere, 8(6)
BibTeX
@article{quantitativeana-2024/6,
title={Quantitative analysis of bone marrow fibrosis highlights heterogeneity in myelofibrosis and augments histological assessment: An Insight from a phase II clinical study of zinpentraxin alfa},
author={Ryou H, Sirinukunwattana K, Wood R, Aberdeen A, Rittscher J et al.},
journal={HemaSphere},
volume={8},
number={e105},
publisher={Wiley Open Access},
year = "2024"
}
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis.
Xu Z, Rittscher J & Ali S (2024), IEEE transactions on medical imaging, PP
BibTeX
@article{sslcpcdselfsupe-2024/6,
title={SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis.},
author={Xu Z, Rittscher J & Ali S},
journal={IEEE transactions on medical imaging},
volume={PP},
year = "2024"
}
Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images
Wood R, Domingo E, Koelzer VH, Maughan TS & Rittscher J (2024), 00, 5122-5131
BibTeX
@inproceedings{clustertripletl-2024/6,
title={Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images},
author={Wood R, Domingo E, Koelzer VH, Maughan TS & Rittscher J},
booktitle={2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
pages={5122-5131},
year = "2024"
}
Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders.
Sauer A, Tian Y, Bewersdorf J & Rittscher J (2024), Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops, 6904-6912
BibTeX
@inproceedings{refiningbiologi-2024/6,
title={Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders.},
author={Sauer A, Tian Y, Bewersdorf J & Rittscher J},
pages={6904-6912},
year = "2024"
}
SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation
Xu Z, Rittscher J & Ali S (2024)
BibTeX
@misc{sstfbleveraging-2024/6,
title={SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation},
author={Xu Z, Rittscher J & Ali S},
year = "2024"
}
Artificial intelligence-based quality assessment of histopathology whole-slide images within a clinical workflow: assessment of 'pathprofiler' in a diagnostic pathology setting
Browning L, Jesus C, Malacrino S, Guan Y, White K et al. (2024), Diagnostics, 14(10)
BibTeX
@article{artificialintel-2024/5,
title={Artificial intelligence-based quality assessment of histopathology whole-slide images within a clinical workflow: assessment of 'pathprofiler' in a diagnostic pathology setting},
author={Browning L, Jesus C, Malacrino S, Guan Y, White K et al.},
journal={Diagnostics},
volume={14},
number={990},
publisher={MDPI},
year = "2024"
}
Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks
Gao S, Browning L, Alham NK, Protheroe A, Edwards K et al. (2024), 00, 1-5
BibTeX
@inproceedings{characterisingb-2024/5,
title={Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks},
author={Gao S, Browning L, Alham NK, Protheroe A, Edwards K et al.},
booktitle={2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
pages={1-5},
year = "2024"
}
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
Lafarge MW, Domingo E, Sirinukunwattana K, Wood R, Samuel L et al. (2024), npj Precision Oncology, 8(1)
BibTeX
@article{imagebasedconse-2024/4,
title={Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy},
author={Lafarge MW, Domingo E, Sirinukunwattana K, Wood R, Samuel L et al.},
journal={npj Precision Oncology},
volume={8},
number={89},
publisher={Springer Nature},
year = "2024"
}
Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features
Tam KH, Soares MF, Kers J, Sharples E, Ploeg R et al. (2024), Frontiers in Transplantation, 3
BibTeX
@article{predictingclini-2024/4,
title={Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features},
author={Tam KH, Soares MF, Kers J, Sharples E, Ploeg R et al.},
journal={Frontiers in Transplantation},
volume={3},
number={1305468},
publisher={Frontiers Media},
year = "2024"
}
Adjuvant COX inhibition augments STING signaling and cytolytic T cell infiltration in irradiated 4T1 tumors
Ridnour LA, Cheng RYS, Kedei N, Somasundaram V, Bhattacharyya DD et al. (2024), JCI Insight, 9(12)
BibTeX
@article{adjuvantcoxinhi-2024/4,
title={Adjuvant COX inhibition augments STING signaling and cytolytic T cell infiltration in irradiated 4T1 tumors},
author={Ridnour LA, Cheng RYS, Kedei N, Somasundaram V, Bhattacharyya DD et al.},
journal={JCI Insight},
volume={9},
number={e165356},
publisher={American Society for Clinical Investigation},
year = "2024"
}
38 Modelling Class Dependencies for Lung Cancer Subtyping from Digitised Pathology Images
Batchkala G, Fan M, Li B, McCole M, Brambilla C et al. (2024), Lung Cancer, 190, 107599
BibTeX
@inproceedings{modellingclassd-2024/4,
title={38 Modelling Class Dependencies for Lung Cancer Subtyping from Digitised Pathology Images},
author={Batchkala G, Fan M, Li B, McCole M, Brambilla C et al.},
pages={107599},
year = "2024"
}
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Ali S, Ghatwary N, Jha D, Isik-Polat E, Polat G et al. (2024), Scientific Reports, 14(1)
BibTeX
@article{assessinggenera-2024/1,
title={Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge},
author={Ali S, Ghatwary N, Jha D, Isik-Polat E, Polat G et al.},
journal={Scientific Reports},
volume={14},
number={2032},
publisher={Springer Nature},
year = "2024"
}
MultiVarNet - Predicting Tumour Mutational Status at the Protein Level
Morel L-O, Muzammel M, Vinçon N, Derangère V, Ladoire S et al. (2024), 15003, 314-324
BibTeX
@misc{multivarnetpred-2024/,
title={MultiVarNet - Predicting Tumour Mutational Status at the Protein Level},
author={Morel L-O, Muzammel M, Vinçon N, Derangère V, Ladoire S et al.},
year = "2024"
}
Quantitative interpretation of bone marrow biopsies in MPN-What's the point in a molecular age?
Ryou H, Lomas O, Theissen H, Thomas E, Rittscher J et al. (2023), British journal of haematology, 203(4), 523-535
BibTeX
@article{quantitativeint-2023/11,
title={Quantitative interpretation of bone marrow biopsies in MPN-What's the point in a molecular age?},
author={Ryou H, Lomas O, Theissen H, Thomas E, Rittscher J et al.},
journal={British journal of haematology},
volume={203},
pages={523-535},
year = "2023"
}
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.
Tomar NK, Jha D, Riegler MA, Johansen HD, Johansen D et al. (2023), IEEE transactions on neural networks and learning systems, 34(11), 9375-9388
BibTeX
@article{fanetafeedbacka-2023/11,
title={FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.},
author={Tomar NK, Jha D, Riegler MA, Johansen HD, Johansen D et al.},
journal={IEEE transactions on neural networks and learning systems},
volume={34},
pages={9375-9388},
year = "2023"
}
Quantitative Analysis of Bone Marrow Features Highlights Heterogeneity in Myelofibrosis Patients Treated with Zinpentraxin Alfa in a Phase II Clinical Study
Ryou H, Sirinukunwattana K, Wood R, Aberdeen A, Rittscher J et al. (2023), Blood, 142(Supplement 1), 4558
BibTeX
@article{quantitativeana-2023/11,
title={Quantitative Analysis of Bone Marrow Features Highlights Heterogeneity in Myelofibrosis Patients Treated with Zinpentraxin Alfa in a Phase II Clinical Study},
author={Ryou H, Sirinukunwattana K, Wood R, Aberdeen A, Rittscher J et al.},
journal={Blood},
volume={142},
pages={4558},
publisher={American Society of Hematology},
year = "2023"
}
Quantitative interpretation of bone marrow biopsies in MPN—what's the point in a molecular age?
Ryou H, Lomas O, Theissen H, Thomas E, Rittscher J et al. (2023), British Journal of Haematology, 203(4), 523-535
BibTeX
@article{quantitativeint-2023/10,
title={Quantitative interpretation of bone marrow biopsies in MPN—what's the point in a molecular age?},
author={Ryou H, Lomas O, Theissen H, Thomas E, Rittscher J et al.},
journal={British Journal of Haematology},
volume={203},
pages={523-535},
publisher={Wiley},
year = "2023"
}
Leveraging inter-annotator disagreement for semi-supervised segmentation
Sauer A, Dmitrieva M, Han H & Rittscher J (2023), 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
BibTeX
@inproceedings{leveraginginter-2023/9,
title={Leveraging inter-annotator disagreement for semi-supervised segmentation},
author={Sauer A, Dmitrieva M, Han H & Rittscher J},
booktitle={2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)},
year = "2023"
}
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models
Bonnaffé W, Group CIP, Hamdy F, Hu Y, Mills I et al. (2023)
BibTeX
@misc{beyondattention-2023/9,
title={Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models},
author={Bonnaffé W, Group CIP, Hamdy F, Hu Y, Mills I et al.},
year = "2023"
}
Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models.
Liao W, Coupland CAC, Burchardt J, Baldwin DR, DART initiative et al. (2023), The Lancet. Respiratory medicine, 11(8), 685-697
BibTeX
@article{predictingthefu-2023/8,
title={Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models.},
author={Liao W, Coupland CAC, Burchardt J, Baldwin DR, DART initiative et al.},
journal={The Lancet. Respiratory medicine},
volume={11},
pages={685-697},
year = "2023"
}
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Xu Z, Rittscher J & Ali S (2023)
BibTeX
@misc{sslcpcdselfsupe-2023/5,
title={SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis},
author={Xu Z, Rittscher J & Ali S},
year = "2023"
}
Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models
Liao W, Coupland CAC, Burchardt J, Baldwin DR, Gleeson FV et al. (2023), Lancet Respiratory Medicine, 11(8), 685-697
BibTeX
@article{predictingthefu-2023/4,
title={Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models},
author={Liao W, Coupland CAC, Burchardt J, Baldwin DR, Gleeson FV et al.},
journal={Lancet Respiratory Medicine},
volume={11},
pages={685-697},
publisher={Elsevier},
year = "2023"
}
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Ali S, Jha D, Ghatwary N, Realdon S, Cannizzaro R et al. (2023), Scientific Data, 10
BibTeX
@article{amulticentrepol-2023/2,
title={A multi-centre polyp detection and segmentation dataset for generalisability assessment},
author={Ali S, Jha D, Ghatwary N, Realdon S, Cannizzaro R et al.},
journal={Scientific Data},
volume={10},
number={75},
publisher={Springer Nature},
year = "2023"
}
Correction: Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients.
Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G, Stolz BJ et al. (2023), Leukemia
BibTeX
@article{correctionconti-2023/1,
title={Correction: Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients.},
author={Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G, Stolz BJ et al.},
journal={Leukemia},
year = "2023"
}
Deep Visualisation-Based Interpretable Analysis of Digital Pathology Images for Colorectal Cancer
Guérin A, Basu S, Chakraborti T & Rittscher J (2023), Lecture Notes in Networks and Systems, 690 LNNS, 555-565
BibTeX
@inproceedings{deepvisualisati-2023/1,
title={Deep Visualisation-Based Interpretable Analysis of Digital Pathology Images for Colorectal Cancer},
author={Guérin A, Basu S, Chakraborti T & Rittscher J},
pages={555-565},
year = "2023"
}
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies
Wood R, Domingo E, Sirinukunwattana K, Lafarge MW, Koelzer VH et al. (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14224 LNCS, 758-767
BibTeX
@inproceedings{jointprediction-2023/1,
title={Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies},
author={Wood R, Domingo E, Sirinukunwattana K, Lafarge MW, Koelzer VH et al.},
pages={758-767},
year = "2023"
}
Annotation-free learning of a spatio-temporal manifold of the cell life cycle.
Delas Peñas K, Dmitrieva M, Waithe D & Rittscher J (2023), Biological imaging, 3, e19
BibTeX
@article{annotationfreel-2023/1,
title={Annotation-free learning of a spatio-temporal manifold of the cell life cycle.},
author={Delas Peñas K, Dmitrieva M, Waithe D & Rittscher J},
journal={Biological imaging},
volume={3},
pages={e19},
year = "2023"
}
LEVERAGING INTER-ANNOTATOR DISAGREEMENT FOR SEMI-SUPERVISED SEGMENTATION
Sauer A, Dmitrieva M, Han H & Rittscher J (2023), 2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI
BibTeX
@inproceedings{leveraginginter-2023/,
title={LEVERAGING INTER-ANNOTATOR DISAGREEMENT FOR SEMI-SUPERVISED SEGMENTATION},
author={Sauer A, Dmitrieva M, Han H & Rittscher J},
year = "2023"
}
Deep Visualisation-Based Interpretable Analysis of Digital Pathology Images for Colorectal Cancer
Guérin A, Basu S, Chakraborti T & Rittscher J (2023), Lecture Notes in Networks and Systems, 690, 555-565
BibTeX
@inproceedings{deepvisualisati-2023/,
title={Deep Visualisation-Based Interpretable Analysis of Digital Pathology Images for Colorectal Cancer},
author={Guérin A, Basu S, Chakraborti T & Rittscher J},
pages={555-565},
year = "2023"
}
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies
Wood R, Domingo E, Sirinukunwattana K, Lafarge MW, Koelzer VH et al. (2023), Lecture Notes in Computer Science, 14224, 758-767
BibTeX
@inproceedings{jointprediction-2023/,
title={Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies},
author={Wood R, Domingo E, Sirinukunwattana K, Lafarge MW, Koelzer VH et al.},
pages={758-767},
year = "2023"
}
Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients
Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G, Stolz BJ et al. (2022), Leukemia
BibTeX
@article{continuousindex-2022/12,
title={Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients},
author={Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G, Stolz BJ et al.},
journal={Leukemia},
year = "2022"
}
Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients
Harrington H, Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G et al. (2022), Leukemia, 37, 348-358
BibTeX
@article{continuousindex-2022/12,
title={Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients},
author={Harrington H, Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G et al.},
journal={Leukemia},
volume={37},
pages={348-358},
publisher={Springer Nature},
year = "2022"
}
Enhancing local context of histology features in vision transformers
Wood R, Sirinukunwattana K, Domingo E, Sauer A, Lafarge M et al. (2022), Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), 13602, 54-163
BibTeX
@inproceedings{enhancinglocalc-2022/11,
title={Enhancing local context of histology features in vision transformers},
author={Wood R, Sirinukunwattana K, Domingo E, Sauer A, Lafarge M et al.},
booktitle={25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)},
pages={54-163},
year = "2022"
}
A graph based neural network approach to immune profiling of multiplexed tissue samples
Martin NG, Malacrino S, Wojciechowska M, Campo L, Jones H et al. (2022), 3063-3067
BibTeX
@article{agraphbasedneur-2022/9,
title={A graph based neural network approach to immune profiling of multiplexed tissue samples},
author={Martin NG, Malacrino S, Wojciechowska M, Campo L, Jones H et al.},
journal={},
pages={3063-3067},
publisher={IEEE},
year = "2022"
}
Multi-scale graphical representation of cell environment
Theissen H, Chakraborty T, Malacrino S, Royston D & Rittscher J (2022), 2022, 3522-3525
BibTeX
@article{multiscalegraph-2022/9,
title={Multi-scale graphical representation of cell environment},
author={Theissen H, Chakraborty T, Malacrino S, Royston D & Rittscher J},
journal={},
volume={2022},
pages={3522-3525},
publisher={IEEE},
year = "2022"
}
Profiling DNA damage in 3D histology samples
delas Peñas KE, Haeusler R, Feng S, Magidson V, Dmitrieva M et al. (2022), Medical Optical Imaging and Virtual Microscopy Image Analysis, 84-93
BibTeX
@inproceedings{profilingdnadam-2022/9,
title={Profiling DNA damage in 3D histology samples},
author={delas Peñas KE, Haeusler R, Feng S, Magidson V, Dmitrieva M et al.},
booktitle={Medical Optical Imaging and Virtual Microscopy Image Analysis (MOVI) 2022},
pages={84-93},
year = "2022"
}
Active data enrichment by learning what to annotate in digital pathology
Batchkala G, Chakraborti T, Gleeson F, McCole M & Rittscher J (2022), Cancer Prevention Through Early Detection: First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, 118-127
BibTeX
@inproceedings{activedataenric-2022/9,
title={Active data enrichment by learning what to annotate in digital pathology},
author={Batchkala G, Chakraborti T, Gleeson F, McCole M & Rittscher J},
booktitle={1st MICCAI Workshop on Cancer Prevention through Early Detection (CaPTion 2022)},
pages={118-127},
year = "2022"
}
RFID analysis of the complexity of cellular pathology workflow—An opportunity for digital pathology
Browning L, White K, Siiankoski D, Colling R, Roskell D et al. (2022), Frontiers in Medicine, 9
BibTeX
@article{rfidanalysisoft-2022/8,
title={RFID analysis of the complexity of cellular pathology workflow—An opportunity for digital pathology},
author={Browning L, White K, Siiankoski D, Colling R, Roskell D et al.},
journal={Frontiers in Medicine},
volume={9},
number={933933},
publisher={Frontiers Media},
year = "2022"
}
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy
Gupta S, Ali S, Goldsmith L, Turney B & Rittscher J (2022), Computerized Medical Imaging and Graphics, 101
BibTeX
@article{multiclassmotio-2022/8,
title={Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy},
author={Gupta S, Ali S, Goldsmith L, Turney B & Rittscher J},
journal={Computerized Medical Imaging and Graphics},
volume={101},
number={102112},
publisher={Elsevier},
year = "2022"
}
Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring
Xu Z, Ali S, Gupta S, Leedham S, East JE et al. (2022)
BibTeX
@misc{patchlevelinsta-2022/7,
title={Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring},
author={Xu Z, Ali S, Gupta S, Leedham S, East JE et al.},
year = "2022"
}
Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region
Browning L, Winter L, Cooper RA, Ghosh A, Dytor T et al. (2022), Journal of Clinical Pathology, 76, 712-718
BibTeX
@article{impactofthetran-2022/7,
title={Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region},
author={Browning L, Winter L, Cooper RA, Ghosh A, Dytor T et al.},
journal={Journal of Clinical Pathology},
volume={76},
pages={712-718},
publisher={BMJ Publishing Group},
year = "2022"
}
Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy
Han H, Dmitrieva M, Sauer A, Tam KH & Rittscher J (2022), 00, 1873-1882
BibTeX
@inproceedings{selfsupervisedv-2022/6,
title={Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy},
author={Han H, Dmitrieva M, Sauer A, Tam KH & Rittscher J},
booktitle={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
pages={1873-1882},
year = "2022"
}
Automated quality assessment of large digitised histology cohorts by artificial intelligence
Haghighat M, Browning L, Sirinukunwattana K, Malacrino S, Khalid Alham N et al. (2022), Scientific Reports, 12
BibTeX
@article{automatedqualit-2022/3,
title={Automated quality assessment of large digitised histology cohorts by artificial intelligence},
author={Haghighat M, Browning L, Sirinukunwattana K, Malacrino S, Khalid Alham N et al.},
journal={Scientific Reports},
volume={12},
number={5002},
publisher={Springer Nature},
year = "2022"
}
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring
Xu Z, Ali S, East J & Rittscher J (2022), 00, 1-5
BibTeX
@inproceedings{additiveangular-2022/3,
title={Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring},
author={Xu Z, Ali S, East J & Rittscher J},
booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
pages={1-5},
year = "2022"
}
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.
Tomar NK, Jha D, Riegler MA, Johansen HD, Johansen D et al. (2022), IEEE transactions on neural networks and learning systems, PP
BibTeX
@article{fanetafeedbacka-2022/3,
title={FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.},
author={Tomar NK, Jha D, Riegler MA, Johansen HD, Johansen D et al.},
journal={IEEE transactions on neural networks and learning systems},
volume={PP},
year = "2022"
}