Papers matching “weakly supervised learning” 36
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Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, +17 more
3citations -
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection2021 Lecture notes in computer science conference-paper Computer Science Human Pose and Action Recognition Open access
Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten
0citations -
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 -
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides2024 Nature Communications article Computer Science AI in cancer detection Open access cited by 1 patent
Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Jane Hewitt, +11 more
106citations -
Benchmarking artificial intelligence methods for end-to-end computational pathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, +17 more
15citations -
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access
Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia, Sven Nebelung, Daniel Truhn
0citations -
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