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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 116: Machine Learning for Health Workshop, 13 December 2019,

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Editors: Adrian V. Dalca, Matthew B.A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett Beaulieu-Jones

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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 Beaulieu-jones; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:1-9

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Generative Image Translation for Data Augmentation in Colorectal Histopathology Images

; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:10-24

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Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia

Arnav Kapur, Utkarsh Sarawgi, Eric Wadkins, Matthew Wu, Nora Hollenstein, Pattie Maes; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:25-38

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Privacy Preserving Human Fall Detection using Video Data

Umar Asif, Benjamin Mashford, Stefan Von Cavallar, Shivanthan Yohanandan, Subhrajit Roy, Jianbin Tang, Stefan Harrer; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:39-51

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Localization with Limited Annotation for Chest X-rays

Eyal Rozenberg, Daniel Freedman, Alex Bronstein; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:52-65

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Minimax Classifier with Box Constraint on the Priors

Cyprien Gilet, Susana Barbosa, Lionel Fillatre; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:66-80

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Generative Smoke Removal

Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:81-92

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Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention

Yogesh Kumar, Henri Salo, Tuomo Nieminen, Kristian Vepsalainen, Sangita Kulathinal, Pekka Marttinen; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:93-111

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Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data

Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:112-125

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Baselines for Chest X-Ray Report Generation

William Boag, Tzu-Ming Harry Hsu, Matthew Mcdermott, Gabriela Berner, Emily Alesentzer, Peter Szolovits; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:126-140

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Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements

Xiaojing Xu, Jeannie S Huang, Virginia R De Sa; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:141-154

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DermGAN: Synthetic Generation of Clinical Skin Images with Pathology

Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:155-170

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Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:171-183

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On the design of convolutional neural networks for automatic detection of Alzheimer’s disease

Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:184-201

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Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation

Aparna Balagopalan, Jekaterina Novikova, Matthew B A Mcdermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:202-219

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Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images

Deepta Rajan, David Beymer, Shafiqul Abedin, Ehsan Dehghan; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:220-232

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Training without training data: Improving the generalizability of automated medical abbreviation disambiguation

Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:233-245

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Medical Concept Normalization by Encoding Target Knowledge

Nikhil Pattisapu, Sangameshwar Patil, Girish Palshikar, Vasudeva Varma; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:246-259

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