NeurIPS(NIPS) 2019 论文列表
Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019.
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Medical Concept Normalization by Encoding Target Knowledge.
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation.
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images.
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation.
On the design of convolutional neural networks for automatic detection of Alzheimer's disease.
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology.
Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements.
Baselines for Chest X-Ray Report Generation.
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data.
Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention.
Generative Smoke Removal.
Minimax Classifier with Box Constraint on the Priors.
Localization with Limited Annotation for Chest X-rays.
Privacy Preserving Human Fall Detection using Video Data.
Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia.
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?
