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

[abs][Download PDF]

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images

Jerry Wei, Arief Suriawinata, Louis Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour; Proceedings of the Machine Learning for Health NeurIPS Workshop, PMLR 116:10-24

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

Generative Smoke Removal

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]