Showing 238 publications by Vicente Grau Colomer
Clinical evaluation of AI-assisted quantitative marrow fibrosis assessment using Continuous Indexing of Fibrosis (CIF)
Ruane S, Cooper RA, Pescia C, Bhardwaj N, Green A et al. (2026), Leukemia, 1-9
BibTeX
@article{clinicalevaluat-2026/9,
title={Clinical evaluation of AI-assisted quantitative marrow fibrosis assessment using Continuous Indexing of Fibrosis (CIF)},
author={Ruane S, Cooper RA, Pescia C, Bhardwaj N, Green A et al.},
journal={Leukemia},
pages={1-9},
publisher={Springer Nature},
year = "2026"
}
Epigenetic modulation of stromal cell states underpins pathological tissue niches in Crohn’s disease
Koplev S, Sharma O, Woelfel S, Huang N, Pohin M et al. (2026), Nature Immunology, 1-15
BibTeX
@article{epigeneticmodul-2026/8,
title={Epigenetic modulation of stromal cell states underpins pathological tissue niches in Crohn’s disease},
author={Koplev S, Sharma O, Woelfel S, Huang N, Pohin M et al.},
journal={Nature Immunology},
pages={1-15},
publisher={Springer Science and Business Media LLC},
year = "2026"
}
Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer
Wesselink E, Kok DE, Lafarge MW, van Lanen A-S, Nagtegaal ID et al. (2026), Cancer Epidemiology, 103, 103120
BibTeX
@article{imagebasedconse-2026/8,
title={Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer},
author={Wesselink E, Kok DE, Lafarge MW, van Lanen A-S, Nagtegaal ID et al.},
journal={Cancer Epidemiology},
volume={103},
pages={103120},
publisher={Elsevier},
year = "2026"
}
Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen deposition phenotypes in MASLD
Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al. (2026), Hepatology
BibTeX
@article{decodingfibrosi-2026/6,
title={Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen deposition phenotypes in MASLD},
author={Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al.},
journal={Hepatology},
publisher={Lippincott, Williams & Wilkins},
year = "2026"
}
Accuracy of Diagnosis in Myeloproliferative Neoplasms With Splanchnic Vein Thrombosis (MPN‐SVT)
Sreedhar BR, Ryou H, O'Riordan A, Hargreaves R, Chauhan N et al. (2026), American Journal of Hematology
BibTeX
@article{accuracyofdiagn-2026/5,
title={Accuracy of Diagnosis in Myeloproliferative Neoplasms With Splanchnic Vein Thrombosis (MPN‐SVT)},
author={Sreedhar BR, Ryou H, O'Riordan A, Hargreaves R, Chauhan N et al.},
journal={American Journal of Hematology},
year = "2026"
}
Patchsurg: Leveraging Synthetic Datasets for High-Fidelity Depth Estimation in Surgery
Xu Z, Zhang C, Rittscher J & Ali S (2026), 00, 1-5
BibTeX
@inproceedings{patchsurglevera-2026/4,
title={Patchsurg: Leveraging Synthetic Datasets for High-Fidelity Depth Estimation in Surgery},
author={Xu Z, Zhang C, Rittscher J & Ali S},
booktitle={2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
pages={1-5},
year = "2026"
}
Distilling Knowledge from Multiple Foundation Models for Accurate and Efficient Spatial Gene Expression Prediction
Li Z, Li B, Hu Y, Rittscher J & Verrill C (2026), 00, 1-4
BibTeX
@inproceedings{distillingknowl-2026/4,
title={Distilling Knowledge from Multiple Foundation Models for Accurate and Efficient Spatial Gene Expression Prediction},
author={Li Z, Li B, Hu Y, Rittscher J & Verrill C},
booktitle={2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
pages={1-4},
year = "2026"
}
Self-supervised monocular depth and pose estimation for endoscopy with latent priors
Xu Z, Li B, Hu Y, Zhang CY, East J et al. (2026), IEEE Transactions on Medical Imaging
BibTeX
@article{selfsupervisedm-2026/3,
title={Self-supervised monocular depth and pose estimation for endoscopy with latent priors},
author={Xu Z, Li B, Hu Y, Zhang CY, East J et al.},
journal={IEEE Transactions on Medical Imaging},
publisher={IEEE},
year = "2026"
}
Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease
Reinisch W, Rittscher J, Iacucci M, Travis S & Friedrich M (2026), Gastroenterology, S0016-5085(25)06588
BibTeX
@article{towardintegrati-2026/2,
title={Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease},
author={Reinisch W, Rittscher J, Iacucci M, Travis S & Friedrich M},
journal={Gastroenterology},
pages={S0016-5085(25)06588},
publisher={Elsevier},
year = "2026"
}
Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy
Valderrama NF, Morel L-O, Mweze DT, Derangère V, Desmoulins I et al. (2026), European Journal of Cancer, 234, 116222
BibTeX
@article{chemopraidictbr-2026/2,
title={Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy},
author={Valderrama NF, Morel L-O, Mweze DT, Derangère V, Desmoulins I et al.},
journal={European Journal of Cancer},
volume={234},
pages={116222},
publisher={Elsevier},
year = "2026"
}
CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation
Albokhari R, Debnath B, Henry D, Johnson M, Bailey A et al. (2026), 16128, 319-329
BibTeX
@misc{ctrlendodiffdif-2026/,
title={CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation},
author={Albokhari R, Debnath B, Henry D, Johnson M, Bailey A et al.},
year = "2026"
}
Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints
Dawood M, Thomas E, Cooper R, Pescia C, Sozanska A et al. (2026), 15970, 603-612
BibTeX
@misc{unsuperviseddis-2026/,
title={Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints},
author={Dawood M, Thomas E, Cooper R, Pescia C, Sozanska A et al.},
year = "2026"
}
Toward precision pathology: Deep learning supported fibrosis grading augments performance of international hematopathologists in a large real-world cohort
Ebsworth T, Ruane S, Bhardwaj N, Cooper R, Green A et al. (2025), Blood, 146(Supplement 1), 4335-4335
BibTeX
@article{towardprecision-2025/11,
title={Toward precision pathology: Deep learning supported fibrosis grading augments performance of international hematopathologists in a large real-world cohort},
author={Ebsworth T, Ruane S, Bhardwaj N, Cooper R, Green A et al.},
journal={Blood},
volume={146},
pages={4335-4335},
publisher={American Society of Hematology},
year = "2025"
}
Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations
Bonnaffé W, Hu Y, Chatrian A, Fan M, Malacrino S et al. (2025)
BibTeX
@misc{histologyinform-2025/11,
title={Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations},
author={Bonnaffé W, Hu Y, Chatrian A, Fan M, Malacrino S et al.},
year = "2025"
}
EXABS-184-MPN: Refining Diagnosis, Prognosis, and Management of MPNs With AI/ML
Cooper R, Thomas E, Hu X, Muhammad D, Ryou H et al. (2025), Clinical Lymphoma Myeloma & Leukemia, 25, s85-s86
BibTeX
@article{exabsmpnrefinin-2025/9,
title={EXABS-184-MPN: Refining Diagnosis, Prognosis, and Management of MPNs With AI/ML},
author={Cooper R, Thomas E, Hu X, Muhammad D, Ryou H et al.},
journal={Clinical Lymphoma Myeloma & Leukemia},
volume={25},
pages={s85-s86},
year = "2025"
}
Decoding Fibrosis: Transcriptomic and Clinical Insights via AI-Derived Collagen Deposition Phenotypes in MASLD
Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al. (2025)
BibTeX
@inproceedings{decodingfibrosi-2025/9,
title={Decoding Fibrosis: Transcriptomic and Clinical Insights via AI-Derived Collagen Deposition Phenotypes in MASLD},
author={Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al.},
year = "2025"
}
Delineating Mpl-dependent and -independent phenotypes of Jak2 V617F- positive MPNs in vivo
Papadopoulos N, Nédélec A, Rahmani Y, Ryou H, Defour J-P et al. (2025), Blood
BibTeX
@article{delineatingmpld-2025/5,
title={Delineating Mpl-dependent and -independent phenotypes of Jak2 V617F- positive MPNs in vivo},
author={Papadopoulos N, Nédélec A, Rahmani Y, Ryou H, Defour J-P et al.},
journal={Blood},
publisher={American Society of Hematology},
year = "2025"
}
Synergies between Clinicians, Academia and Industry in the Age of AI
Byrne MF, Rittscher J & East JE (2025), Gastroenterology
BibTeX
@article{synergiesbetwee-2025/5,
title={Synergies between Clinicians, Academia and Industry in the Age of AI},
author={Byrne MF, Rittscher J & East JE},
journal={Gastroenterology},
publisher={Elsevier},
year = "2025"
}
Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen clusters in MASLD
Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al. (2025), Abstract Book of European Association for the Study of the Liver (EASL) Congress 2025, 82(Supplement 1)
BibTeX
@article{decodingfibrosi-2025/5,
title={Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen clusters in MASLD},
author={Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al.},
journal={Abstract Book of European Association for the Study of the Liver (EASL) Congress 2025},
volume={82},
publisher={Elsevier},
year = "2025"
}
MSP-tracker: A versatile vesicle tracking software tool used to reveal the spatial control of polarized secretion in Drosophila epithelial cells
Richens JH, Dmitrieva M, Zenner HL, Muschalik N, Butler R et al. (2025), PLoS Biology, 23(4)
BibTeX
@article{msptrackeravers-2025/4,
title={MSP-tracker: A versatile vesicle tracking software tool used to reveal the spatial control of polarized secretion in Drosophila epithelial cells},
author={Richens JH, Dmitrieva M, Zenner HL, Muschalik N, Butler R et al.},
journal={PLoS Biology},
volume={23},
number={e3003099},
publisher={Public Library of Science},
year = "2025"
}
Reticulin‐Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications
Ryou H, Thomas E, Wojciechowska M, Harding L, Tam KH et al. (2025), eJHaem, 6(2)
BibTeX
@article{reticulinfreequ-2025/2,
title={Reticulin‐Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications},
author={Ryou H, Thomas E, Wojciechowska M, Harding L, Tam KH et al.},
journal={eJHaem},
volume={6},
number={e70005},
publisher={Wiley},
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-Villanueva E et al. (2025), Medical Image Analysis, 101
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-Villanueva E et al.},
journal={Medical Image Analysis},
volume={101},
number={103437},
publisher={Elsevier},
year = "2025"
}
GenST: A Generative Cross-Modal Model for Predicting Spatial Transcriptomics from Histology Images
Wood R, Hu Y, Rittscher J & Li B (2025), Proceedings of Machine Learning Research, 316
BibTeX
@inproceedings{genstagenerativ-2025/1,
title={GenST: A Generative Cross-Modal Model for Predicting Spatial Transcriptomics from Histology Images},
author={Wood R, Hu Y, Rittscher J & Li B},
year = "2025"
}
8 Novel enhancement of multimodality treatment of prostate cancer, combining radiotherapy,vascular-targeted photodynamic therapy, and immunotherapy
Sjoberg HT, Macklin S, Philippou Y, Murphy EA, Tullis IDC et al. (2025), European Urology Open Science, 71, s8
BibTeX
@inproceedings{novelenhancemen-2025/1,
title={8 Novel enhancement of multimodality treatment of prostate cancer, combining radiotherapy,vascular-targeted photodynamic therapy, and immunotherapy},
author={Sjoberg HT, Macklin S, Philippou Y, Murphy EA, Tullis IDC et al.},
pages={s8},
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},
year = "2024"
}
Editorial for Special Issue on Foundation Models for Medical Image Analysis
Wang X, Wang D, Li X, Rittscher J, Metaxas D et al. (2024), Medical Image Analysis, 103389
BibTeX
@article{editorialforspe-2024/11,
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},
pages={103389},
publisher={Elsevier},
year = "2024"
}
Reticulin-Free Quantitative Assessment of Bone Marrow Fibrosis in Myeloproliferative Neoplasms; Time to Sell the Family Silver?
Ryou H, Harding L, Rittscher J & Royston D (2024), Blood, 144(Supplement 1), 3139-3139
BibTeX
@article{reticulinfreequ-2024/11,
title={Reticulin-Free Quantitative Assessment of Bone Marrow Fibrosis in Myeloproliferative Neoplasms; Time to Sell the Family Silver?},
author={Ryou H, Harding L, Rittscher J & Royston D},
journal={Blood},
volume={144},
pages={3139-3139},
publisher={American Society of Hematology},
year = "2024"
}
Mapping the Human Bone Marrow in Myeloproliferative Neoplasia Using Spatial Transcriptomics
Cooper R, Thomas E, Muhammad D, Pescia C, Sozanska A et al. (2024), Blood, 144(Supplement 1), 876-876
BibTeX
@article{mappingthehuman-2024/11,
title={Mapping the Human Bone Marrow in Myeloproliferative Neoplasia Using Spatial Transcriptomics},
author={Cooper R, Thomas E, Muhammad D, Pescia C, Sozanska A et al.},
journal={Blood},
volume={144},
pages={876-876},
publisher={American Society of Hematology},
year = "2024"
}
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Generative Latent Priors
Xu Z, Li B, Hu Y, Zhang C, East J et al. (2024)
BibTeX
@misc{selfsupervisedm-2024/11,
title={Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Generative Latent Priors},
author={Xu Z, Li B, Hu Y, Zhang C, East J et al.},
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 RYS, Wink AL, Kedei N et al. (2024), Cancer Research Communications, 4(10), 2766-2782
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 RYS, Wink AL, Kedei N et al.},
journal={Cancer Research Communications},
volume={4},
pages={2766-2782},
publisher={American Association for Cancer Research},
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(99), 1-1
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},
pages={1-1},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2024"
}
Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders
Sauer A, Tian Y, Bewersdorf J & Rittscher J (2024), 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 00, 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},
booktitle={2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
pages={6904-6912},
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"
}
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), 990
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},
pages={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), 89-89
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},
pages={89-89},
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"
}
Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features
Tam KH, Soares MF, Kers J, Sharples EJ, Ploeg RJ et al. (2024), Frontiers in Transplantation, 3, 1305468-1305468
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 EJ, Ploeg RJ et al.},
journal={Frontiers in Transplantation},
volume={3},
pages={1305468-1305468},
publisher={Frontiers},
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 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-2023/11,
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 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"
}
Annotation-free learning of a spatio-temporal manifold of the cell life cycle
Peñas KD, Dmitrieva M, Waithe D & Rittscher J (2023), Biological Imaging, 3, e19-e19
BibTeX
@article{annotationfreel-2023/10,
title={Annotation-free learning of a spatio-temporal manifold of the cell life cycle},
author={Peñas KD, Dmitrieva M, Waithe D & Rittscher J},
journal={Biological Imaging},
volume={3},
number={e19},
pages={e19-e19},
publisher={Cambridge University Press (CUP)},
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"
}