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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 -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, +26 more
6citations -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural and Behavioral Psychology Studies Open access
Zhiying Zhao, Shuxia Yao, Jana Zweerings, Xinqi Zhou, Feng Zhou, Huafu Chen, +3 more
6citations -
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies2022 medRxiv preprint Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access
Tanwei Yuan, Dominic Edelmann, Ziwen Fan, Elizabeth Alwers, Jakob Nikolas Kather, Hermann Brenner, +1 more
3citations -
Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, David Holec
1citations -
Curriculum reinforcement learning for quantum architecture search under hardware errors2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
7citations