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A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology2025 Health Information Science and Systems article Computer Science AI in cancer detection Open access
Tom Bisson, Michael M. Franz, Tim‐Rasmus Kiehl, Peter Boor, Peter Hufnagl, Norman Zerbe
3citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
State of the Art Cell Detection in Bone Marrow Whole Slide Images2021 Journal of Pathology Informatics article Computer Science Digital Imaging for Blood Diseases Open access
Philipp Gräbel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, Peter Boor, +2 more
7citations -
Deep Learning–Based Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study2024 Journal of Investigative Dermatology article Computer Science AI in cancer detection Open access
Thom Doeleman, Siemen Brussee, Liesbeth M. Hondelink, Daniëlle W F Westerbeek, Ana Sequeira, P. Valkema, +8 more
7citations -
Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection
Carlijn M. Lems, Daan J. Geijs, John‐Melle Bokhorst, Maxime Sülter, Leander van Eekelen, Francesco Ciompi
2citations -
Benchmarking Pathology Feature Extractors for Whole Slide Image Classification2023 St Andrews Research Repository (St Andrews Research Repository) conference-paper Computer Science AI in cancer detection Open access
Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti, Omar S. M. El Nahhas, Daniel Truhn, Zunamys Itzell Carrero, +3 more
7citations -
Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome2020 IEEE Journal of Biomedical and Health Informatics article Computer Science AI in cancer detection cited by 1 patent
Daniëlle Krijgsman, Marinus B. van Leeuwen, John van der Ven, Ruud Vlutters, David Halter, Peter J.K. Kuppen, +2 more
32citations -
Whole-Slide ECM Imaging Reveals Dense Fibrous Matrix as a High-Risk Factor for Recurrence in Stage II Colon Cancer2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Cancer Cells and Metastasis Open access
Cor J. Ravensbergen, Hein Putter, Stijn Crobach, Jurjen J. Boonstra, Jan H.N. Lindeman, Rob A.�E.�M. Tollenaar, +1 more
2citations -
Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer
Liesbeth M. Hondelink, Melek Hüyük, Pieter E. Postmus, Vincent T.H.B.M. Smit, Sami Blom, Jan H. von der Thüsen, +1 more
49citations -
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images2024 Computer Methods and Programs in Biomedicine article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till A. Braunschweig, Jianning Li, Jens Kleesiek, +6 more
11citations -
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection
Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara M. Klinkhammer, Peter Boor, +3 more
3citations -
Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images2023 Scientific Reports article Computer Science AI in cancer detection Open access cited by 1 patent
John‐Melle Bokhorst, Irıs D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma E. Mesker, Michael Vieth, +2 more
60citations