Papers matching “deep learning prediction” 58
Not finding it? Sign in to also search OpenAlex live.
-
Self-supervised deep learning for pan-cancer mutation prediction from histopathology2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Jan Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, +5 more
10citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
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 -
Deep Learning Predicts Survival Across Squamous Tumor Entities From H&E Stains: Insights from Head and Neck, Esophagus, Lung and Cervical Cancer2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Verena Bitto, Xiaofeng Jiang, Michael A. Baumann, Jakob Nikolas Kather, Ina Kurth
1citations -
DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Marko van Treeck, Didem Çifçi, Narmin Ghaffari Laleh, Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Katherine Jane Hewitt, +9 more
13citations -
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Georgios Andreadis, Eduard Ruiz Munné, Thomas Bäck, Peter A. N. Bosman, Tanja Alderliesten
1citations -
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more
25citations -
Predicting clinical drug response from model systems by non-linear subspace-based transfer learning2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
9citations