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An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading2023 npj Precision Oncology article Computer Science AI in cancer detection Open access cited by 1 patent
Yuri Tolkach, Vlado Ovtcharov, Alexey E. Pryalukhin, Marie‐Lisa Eich, Nadine Therese Gaisa, MARTIN A. BRAUN, +16 more
34citations -
Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading2024 Proceedings - International Conference on Image Processing conference-paper Computer Science AI in cancer detection
Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Gopal Avinash, Johannes Stegmaier, Sonit Singh, +1 more
4citations -
DEEP LEARNING APPROACH FOR RENAL CELL CARCINOMA DETECTION, SUBTYPING, AND GRADING2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Gopal Avinash, Johannes Stegmaier, Abin Jose
0citations -
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access
Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose
0citations -
Deep learning in cancer pathology: a new generation of clinical biomarkers2020 British Journal of Cancer article Computer Science AI in cancer detection Open access cited by 2 patents
Amelie Echle, Niklas Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander T. Pearson, Jakob Nikolas Kather
697citations -
Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning2023 European Heart Journal - Digital Health article Computer Science AI in cancer detection Open access
Tobias Paul Seraphin, Mark Luedde, Christoph Roderburg, Marko van Treeck, Pascal Scheider, Roman David Buelow, +11 more
33citations -
Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies
Daniël L. van den Kroonenberg, Florian Delberghe, Auke Jager, Arnoud W. Postema, Katelijne C. C. de Bie, Johannes B. Reitsma, +9 more
3citations -
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H van Duijnhoven, Esther H. Lips, Emma Josephine Groen, Marja C.J. van Oirsouw, +23 more
14citations