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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 ; PMLR 116:1-9

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images

Jerry Wei,  Arief Suriawinata,  Louis Vaickus,  Bing Ren,  Xiaoying Liu,  Jason Wei,  Saeed Hassanpour ; PMLR 116:10-24

Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia

Arnav Kapur,  Utkarsh Sarawgi,  Eric Wadkins,  Matthew Wu,  Nora Hollenstein,  Pattie Maes ; PMLR 116:25-38

Privacy Preserving Human Fall Detection using Video Data

Umar Asif,  Benjamin Mashford,  Stefan Von Cavallar,  Shivanthan Yohanandan,  Subhrajit Roy,  Jianbin Tang,  Stefan Harrer ; PMLR 116:39-51

Localization with Limited Annotation for Chest X-rays

Eyal Rozenberg,  Daniel Freedman,  Alex Bronstein ; PMLR 116:52-65

Minimax Classifier with Box Constraint on the Priors

Cyprien Gilet,  Susana Barbosa,  Lionel Fillatre ; PMLR 116:66-80

Generative Smoke Removal

Oleksii Sidorov,  Congcong Wang,  Faouzi Alaya Cheikh ; PMLR 116:81-92

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 ; PMLR 116:93-111

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

Tom Van Steenkiste,  Dirk Deschrijver,  Tom Dhaene ; PMLR 116:112-125

Baselines for Chest X-Ray Report Generation

William Boag,  Tzu-Ming Harry Hsu,  Matthew Mcdermott,  Gabriela Berner,  Emily Alesentzer,  Peter Szolovits ; PMLR 116:126-140

Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements

Xiaojing Xu,  Jeannie S Huang,  Virginia R De Sa ; PMLR 116:141-154

DermGAN: Synthetic Generation of Clinical Skin Images with Pathology

Amirata Ghorbani,  Vivek Natarajan,  David Coz,  Yuan Liu ; PMLR 116:155-170

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 ; PMLR 116:171-183

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

Sheng Liu,  Chhavi Yadav,  Carlos Fernandez-Granda,  Narges Razavian ; PMLR 116:184-201

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation

Aparna Balagopalan,  Jekaterina Novikova,  Matthew B A Mcdermott,  Bret Nestor,  Tristan Naumann,  Marzyeh Ghassemi ; PMLR 116:202-219

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

Deepta Rajan,  David Beymer,  Shafiqul Abedin,  Ehsan Dehghan ; PMLR 116:220-232

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

Marta Skreta,  Aryan Arbabi,  Jixuan Wang,  Michael Brudno ; PMLR 116:233-245

Medical Concept Normalization by Encoding Target Knowledge

Nikhil Pattisapu,  Sangameshwar Patil,  Girish Palshikar,  Vasudeva Varma ; PMLR 116:246-259

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