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ORCIDSamuel G. Finlayson
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Journal Articles
- 2021
[j2]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, Alastair K. Denniston, Pearse A. Keane:
Code-free deep learning for multi-modality medical image classification. Nat. Mach. Intell. 3(4): 288-298 (2021)- 2016
- [j1]Samuel G. Finlayson, Mia A. Levy, Sunil Reddy, Daniel L. Rubin:
Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data. J. Biomed. Informatics 60: 104-113 (2016)
Conference and Workshop Papers
- 2021
- [c3]Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, Isaac S. Kohane:
Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles. PSB 2021 - 2020
- [c2]Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik:
Subgraph Neural Networks. NeurIPS 2020 - 2019
- [c1]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:
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS 2019: 1-9
Editorship
- 2019
- [e1]Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones:
Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019. Proceedings of Machine Learning Research 116, PMLR 2019 [contents]
Informal and Other Publications
- 2020
- [i7]Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca:
ML4H Abstract Track 2019. CoRR abs/2002.01584 (2020) - [i6]Emily Alsentzer, Samuel G. Finlayson, Michelle M. Li, Marinka Zitnik:
Subgraph Neural Networks. CoRR abs/2006.10538 (2020) - 2019
- [i5]Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, William Yuan, Isaac S. Kohane:
Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. CoRR abs/1911.10241 (2019) - 2018
- [i4]Samuel G. Finlayson, Isaac S. Kohane, Andrew L. Beam:
Adversarial Attacks Against Medical Deep Learning Systems. CoRR abs/1804.05296 (2018) - [i3]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, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi:
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR abs/1811.07216 (2018) - [i2]Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson, Zhiwei Steven Wu:
Privacy-Preserving Distributed Deep Learning for Clinical Data. CoRR abs/1812.01484 (2018) - [i1]Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane, Luke Oakden-Rayner:
Towards generative adversarial networks as a new paradigm for radiology education. CoRR abs/1812.01547 (2018)
Coauthor Index
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