Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data. - Samuel G. Finlayson; Mia A. Levy; Sunil Reddy; Daniel L. Rubin (J. Biomed. Informatics, 2016)

Adversarial Attacks Against Medical Deep Learning Systems. - Samuel G. Finlayson; Isaac S. Kohane; Andrew L. Beam (CoRR, 2018)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - Natalia Antropova; Andrew L. Beam; Brett K. Beaulieu-Jones; Irene Chen; Corey Chivers; Adrian V. Dalca; Samuel G. Finlayson; Madalina Fiterau; Jason Alan Fries; Marzyeh Ghassemi; Mike Hughes; Bruno Jedynak; et al. (CoRR, 2018)

Privacy-Preserving Distributed Deep Learning for Clinical Data. - Brett K. Beaulieu-Jones; William Yuan; Samuel G. Finlayson; Zhiwei Steven Wu (CoRR, 2018)

Towards generative adversarial networks as a new paradigm for radiology education. - Samuel G. Finlayson; Hyunkwang Lee; Isaac S. Kohane; Luke Oakden-Rayner (CoRR, 2018)

Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? - Adrian V. Dalca; Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Corey Chivers; Andrew Beam; Tristan Naumann; Brett K. Beaulieu-Jones (ML4H@NeurIPS, 2019)

Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. - Samuel G. Finlayson; Matthew B. A. McDermott; Alex V. Pickering; Scott L. Lipnick; William Yuan; Isaac S. Kohane (CoRR, 2019)

Subgraph Neural Networks. - Emily Alsentzer; Samuel G. Finlayson; Michelle M. Li; Marinka Zitnik (NeurIPS, 2020)

ML4H Abstract Track 2019. - Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Tristan Naumann; Brett K. Beaulieu-Jones; Adrian V. Dalca (CoRR, 2020)

Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles. - Samuel G. Finlayson; Matthew B. A. McDermott; Alex V. Pickering; Scott L. Lipnick; Isaac S. Kohane (PSB, 2021)

Code-free deep learning for multi-modality medical image classification. - Edward Korot; Zeyu Guan; Daniel Ferraz; Siegfried K. Wagner; Gongyu Zhang; Xiaoxuan Liu; Livia Faes; Nikolas Pontikos; Samuel G. Finlayson; Hagar Khalid; Gabriella Moraes; Konstantinos Balaskas; et al. (Nat. Mach. Intell., 2021)