We have accepted 17 papers to be included in the 2019 ML4H Proceedings to be published in PMLR. These are listed below, with links to proof versions. These will be updated with the final links in PMLR shortly. Papers will be presented as spotlight talks or poster presentations Friday Dec 13 in Vancouver.
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Jerry Wei, Arief Suriawinata, Louis Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia
Arnav Kapur, Utkarsh Sarawgi, Eric Wadkins, Matthew Wu, Nora Hollenstein, Pattie Maes
Privacy Preserving Human Fall Detection using Video Data
Umar Asif,Benjamin Mashford,Stefan von Cavallar,Shivanthan Yohanandan,Subhrajit Roy,Jianbin Tang,Stefan Harrer
Localization with Limited Annotation for Chest X-rays
Eyal Rozenberg, Daniel Freedman, Alex Bronstein
Minimax Classifier with Box Constraint on the Priors
Cyprien Gilet, Susana Barbosa, Lionel Fillatre
Generative Smoke Removal
Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh
Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention
Yogesh Kumar, Henri Salo, Tuomo Nieminen, Kristian Vepsäläinen, Sangita Kulathinal, Pekka Marttinen
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal data
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Baselines for Chest X-Ray Report Generation
William Boag, Tzu-Ming Harry Hsu, Matthew McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits
Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements
Xiaojing Xu, Jeannie S. Huang, Virginia R. de Sa
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu
Retina U-Net: Embarrassingly Simple Exploitation ofSegmentation Supervision for Medical Object Detection
Paul F. Jaeger, Simon A.A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan A. Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
S. Liu, C. Yadav, C. Fernandez-Granda*, N. Razavian*
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation
Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images
Deepta Rajan, David Beymer, Shafiqul Abedin, Ehsan Dehghan
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation
Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno
Medical Concept Normalization by Encoding Target Knowledge
Nikhil Pattisapu, Sangameshwar Patil, Girish Palshikar, Vasudeva Varma