Not finding it? Sign in to also search OpenAlex live.
-
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 -
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge2025 The Journal of Machine Learning for Biomedical Imaging article Computer Science Brain Tumor Detection and Classification Open access
Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Pierre Nedelec, Nourel Hoda Tahon, +87 more
31citations -
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images2022 IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings conference-paper Computer Science Advanced Neural Network Applications Open access cited by 1 patent
Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe
19citations