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ORCIDML4H@NeurIPS 2019: Vancouver, Canada
- 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 - 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? 1-9 - Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour:
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. 10-24 - Arnav Kapur, Utkarsh Sarawgi, Eric Wadkins, Matthew Wu, Nora Hollenstein, Pattie Maes:
Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia. 25-38 - Umar Asif, Benjamin S. Mashford, Stefan von Cavallar, Shivanthan A. C. Yohanandan, Subhrajit Roy, Jianbin Tang, Stefan Harrer:
Privacy Preserving Human Fall Detection using Video Data. 39-51 - Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein:
Localization with Limited Annotation for Chest X-rays. 52-65 - Cyprien Gilet, Susana Barbosa, Lionel Fillatre:
Minimax Classifier with Box Constraint on the Priors. 66-80 - Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh:
Generative Smoke Removal. 81-92 - Yogesh Kumar, Henri Salo, Tuomo Nieminen, Kristian Vepsalainen, Sangita Kulathinal, Pekka Marttinen:
Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention. 93-111 - Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. 112-125 - William Boag, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits:
Baselines for Chest X-Ray Report Generation. 126-140 - Xiaojing Xu, Jeannie S. Huang, Virginia R. de Sa:
Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements. 141-154 - Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu:
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. 155-170 - Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. 171-183 - Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian:
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. 184-201 - Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. 202-219 - Deepta Rajan, David Beymer, Shafiqul Abedin, Ehsan Dehghan:
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images. 220-232 - Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno:
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. 233-245 - Nikhil Pattisapu, Sangameshwar Patil, Girish K. Palshikar, Vasudeva Varma:
Medical Concept Normalization by Encoding Target Knowledge. 246-259
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