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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 -
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access
Dan Biderman, Matthew R Whiteway, Cole Hurwitz, Nicholas Greenspan, Ankit Vishnubhotla, Richard A. Warren, +13 more
18citations -
Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Divya Choudhury, James M. Dolezal, Emma Dyer, Sara E. Kochanny, Siddi Ramesh, Frederick Matthew Howard, +6 more
1citations -
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes2023 arXiv (Cornell University) preprint Materials Science 2D Materials and Applications Open access
Jan-Lucas Uslu, Taoufiq Ouaj, David Tebbe, Jo Henri Bertram, Marc Schütte, Kenji Watanabe, +4 more
2citations -
SALTED: a symmetry-adapted machine-learning program for predicting electron-densities in molecules and materials2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Zekun Lou, Alan M. Lewis, T. Bernhard, Lukas Seifert, Agustin Salcedo, Florian Kleemiss, +2 more
0citations -
immuneML: an ecosystem for machine learning analysis of adaptive immune receptor repertoires2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, +37 more
17citations -
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe
0citations