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Papers matching “whole slide image classification” 52

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Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study
2021 The Lancet Digital Health article Computer Science AI in cancer detection Open access

Jesper Kers, Roman David Bülow, Barbara M. Klinkhammer, Gerben Eise Breimer, Francesco Fontana, Adeyemi Adefidipe Abiola, +17 more

128

citations
Histopathology images for end-to-end AI, based on TCGA-BRCA
2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science AI in cancer detection Open access

Jakob Nikolas Kather

1

citations
Histopathology images for end-to-end AI, based on TCGA-BRCA
2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science AI in cancer detection Open access

Jakob Nikolas Kather

0

citations
Tissue concepts: Supervised foundation models in computational pathology
2025 Computers in Biology and Medicine article Computer Science AI in cancer detection Open access

Till Nicke, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian M. Kiessling

8

citations
Continuous Diagnostic Indices from BanffNET Automated Lesion Scores for Kidney Transplant Pathology: Development and Evaluation of a Diagnostic Prediction Model
2026 medRxiv preprint Medicine Renal Transplantation Outcomes and Treatments

Arthur Vranken, Giorgio Buzzanca, Thibaut Vaulet, Karolien Wellekens, Priyanka Joseph Koshy, Danny van der Helm, +13 more

0

citations
The potential of artificial intelligence-based applications in kidney pathology
2022 Current Opinion in Nephrology & Hypertension article Computer Science AI in cancer detection Open access

Roman David Bülow, Peter Boor

24

citations
Automatische Bildanalyse und künstliche Intelligenz in der Nephropathologie
2022 Die Nephrologie article Computer Science AI in cancer detection Open access

Roman David Bülow, David Laurin Hölscher, Peter Boor

0

citations
Reduction of Stain Variability in Bone Marrow Microscopy Images
2021 Informatik aktuell book-chapter Computer Science Digital Imaging for Blood Diseases

Philipp Gräbel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, Peter Boor, +2 more

0

citations
Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study
2026 medRxiv preprint Medicine Gastrointestinal Tumor Research and Treatment Open access

Arianna Bonetti, Van-Linh Le, Zunamys Itzell Carrero, Marco Gustav, Suk Wai Lam, Lucile Vanhersecke, +47 more

0

citations
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study
2023 Gastric Cancer article Computer Science AI in cancer detection Open access

Gregory Patrick Veldhuizen, Christoph Röcken, Hans‐Michael Behrens, Didem Çifçi, Hannah Sophie Muti, Takaki Yoshikawa, +8 more

34

citations
Pixel-level deep-learning segmentation of myoendocardial biopsies network (SOME-Net)
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science AI in cancer detection Open access

0

citations
Banff Digital Pathology Working Group: Going digital in transplant pathology
2020 American Journal of Transplantation article Computer Science AI in cancer detection Open access

Alton B. Farris, Ishita Moghe, Simon Wu, Julien Hogan, Lynn D. Cornell, Mariam P. Alexander, +7 more

47

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations
Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 Cancer Research article Medicine Gastrointestinal Tumor Research and Treatment Open access

Arianna Bonetti, Van-Linh Le, Zunamys Itzell Carrero, F M Wolf, Marco Gustav, Suk Wai Lam, +49 more

1

citations
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study
2021 Journal of Medical Internet Research article Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

64

citations
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study (Preprint)
2020 preprint Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

0

citations
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more

7

citations
Artificial Intelligence for Diagnostic Support in Neuropathology
2026 Qucosa (Saxon State and University Library Dresden) dissertation Computer Science AI in cancer detection Open access

Katherine J. Hewitt

0

citations
The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer
2020 EBioMedicine article Computer Science AI in cancer detection Open access

Marloes A. Smit, Wilma E. Mesker

10

citations
Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
2022 PLoS ONE article Computer Science AI in cancer detection Open access

Frederik Wessels, Max Schmitt, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Malin Nientiedt, MAXIMILIAN CHRISTIAN KRIEGMAIR, +10 more

40

citations
Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features
2024 Frontiers in Transplantation article Computer Science AI in cancer detection Open access

Ka Ho Tam, Maria Fernanda Soares, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Maria E. Kaisar, +1 more

0

citations
Predicting Clinical Endpoints and Visual Changes with Quality-Weighted Tissue-based Renal Histological Features
2022 medRxiv preprint Computer Science AI in cancer detection Open access

Ka Ho Tam, Maria Fernanda Soares, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Maria E. Kaisar, +1 more

0

citations
AI in Neuro-Oncology: An Overarching Review
2026 Neuro-Oncology article Medicine Artificial Intelligence in Healthcare and Education Open access

Carla Pitarch-Abaigar, Philipp Lohmann, Patrick Aloy, Fátima Al‐Shahrour, Omar Arnaout, Wenya Linda Bi, +14 more

0

citations
Thrombotic Microangiopathy in the Renal Allograft: Results of the TMA Banff Working Group Consensus on Pathologic Diagnostic Criteria
2023 Transplant International article Medicine Renal Transplantation Outcomes and Treatments Open access

Marjan Afrouzian, Nicolas Kozakowski, Helen Liapis, Verena Broecker, Carmen Ávila-Casado, Heinz M. Regele, +20 more

21

citations
Delphi: A Democratic and Cost-Effective Method of Consensus Generation in Transplantation
2023 Transplant International article Social Sciences Delphi Technique in Research Open access

Marjan Afrouzian, Nicolas Kozakowski, Helen Liapis, Verena Broecker, Luan D. Truong, Carmen Ávila-Casado, +21 more

3

citations