Abstract is missing.
- Machine Learning for Health (ML4H) 2020: Advancing Healthcare for AllSuproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland. 1-11 [doi]
- Zero-Shot Clinical Acronym Expansion via Latent Meaning CellsGriffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad. 12-40 [doi]
- Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAEWangzhi Dai, Collin M. Stultz. 41-52 [doi]
- A {BClaire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler. 53-84 [doi]
- Neural Temporal Point Processes For Modelling Electronic Health RecordsJoseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla. 85-113 [doi]
- Parkinsonian {CHao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li. 114-125 [doi]
- sEMG Gesture Recognition with a Simple Model of AttentionDavid Josephs, Carson Drake, Andy Heroy, John Santerre. 126-138 [doi]
- An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareTaylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi. 139-160 [doi]
- Improved Clinical Abbreviation Expansion via Non-Sense-Based ApproachesJuYong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar. 161-178 [doi]
- Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated ImagesYoung Joon Kwon, Danielle Toussie, Lea Azour, Jose Concepcion, Corey Eber, G. Anthony Reina, Ping Tak Peter Tang, Amish H. Doshi, Eric K. Oermann, Anthony B. Costa. 179-193 [doi]
- DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasoundsFabian Laumer, Gabriel Fringeli, Alina Dubatovka, Laura Manduchi, Joachim M. Buhmann. 194-212 [doi]
- Spectral discontinuity design: Interrupted time series with spectral mixture kernelsDavid Leeftink, Max Hinne. 213-225 [doi]
- 3D Photography Based Neural Network Craniosynostosis Triaging SystemPouria Mashouri, Marta Skreta, John Phillips, Dianna McAllister, Melissa Roy, Senthujan Senkaiahliyan, Michael Brudno, Devin Singh. 226-237 [doi]
- Contrastive Representation Learning for Electroencephalogram ClassificationMostafa Neo Mohsenvand, Mohammad Rasool Izadi, Pattie Maes. 238-253 [doi]
- A Neural SIR Model for Global ForecastingPhilip Nadler, Rossella Arcucci, Yike Guo. 254-266 [doi]
- Attend and Decode: 4D fMRI Task State Decoding Using Attention ModelsSam Nguyen, Brenda Ng, Alan David Kaplan, Priyadip Ray. 267-279 [doi]
- ML4H Auditing: From Paper to PracticeLuis Oala, Jana Fehr, Luca Gilli, Pradeep Balachandran, Alixandro Werneck Leite, Saúl Calderón Ramírez, Danny Xie Li, Gabriel Nobis, Erick Alejandro Muñoz Alvarado, Giovanna Jaramillo-Gutierrez, Christian Matek, Arun Shroff, Ferath Kherif, Bruno Sanguinetti, Thomas Wiegand. 280-317 [doi]
- CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning RobustnessNick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Du Nguyen Duong, Steven Q. H. Truong, Andrew Y. Ng, Matthew P. Lungren. 318-327 [doi]
- Evaluation of Contrastive Predictive Coding for Histopathology ApplicationsKarin Stacke, Claes Lundström, Gabriel Eilertsen. 328-340 [doi]
- Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular DataDennis Ulmer, Lotta Meijerink, Giovanni Cinà. 341-354 [doi]
- Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep LearningThomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene. 355-366 [doi]
- EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural NetworkNeeraj Wagh, Yogatheesan Varatharajah. 367-378 [doi]
- Confounding Feature Acquisition for Causal Effect EstimationShirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi. 379-396 [doi]
- TL-Lite: Temporal Visualization and Learning for Clinical ForecastingJeremy C. Weiss. 397-414 [doi]
- Addressing the Real-world Class Imbalance Problem in DermatologyWei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu. 415-429 [doi]