Abstract is missing.
- Machine Learning for Health (ML4H) 2021Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer. 1-12 [doi]
- Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder ArchitectureSeongsu Bae, Daeyoung Kim, Jiho Kim, Edward Choi. 13-25 [doi]
- Attention Distillation for Detection Transformers: Application to Real-Time Video Object Detection in UltrasoundJonathan Rubin, Ramon Erkamp, Ragha Srinivasa Naidu, Anumod Odungatta Thodiyil, Alvin Chen. 26-37 [doi]
- Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural NetworkEsther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn. 38-53 [doi]
- How Transferable are Self-supervised Features in Medical Image Classification Tasks?Tuan Truong, Sadegh Mohammadi 0003, Matthias Lenga. 54-74 [doi]
- SmartTriage: A system for personalized patient data capture, documentation generation, and decision supportIlya Valmianski, Nave Frost, Navdeep Sood, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Ian M. Finn, Daniel S. Zisook. 75-96 [doi]
- Prognosticating Colorectal Cancer Recurrence using an Interpretable Deep Multi-view NetworkDanliang Ho, Iain Bee Huat Tan, Mehul Motani. 97-109 [doi]
- MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog SystemRhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan. 110-129 [doi]
- Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and GeneralizabilityNeeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah. 130-142 [doi]
- Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy ProxiesMilan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel. 143-155 [doi]
- 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired AugmentationsBryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar. 156-167 [doi]
- Image Classification with Consistent Supporting EvidencePeiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland. 168-180 [doi]
- Early Exit Ensembles for Uncertainty QuantificationLorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo. 181-195 [doi]
- RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report ClassificationAjay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding 0001. 196-208 [doi]
- Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image ModelMark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, Pranav Rajpurkar. 209-219 [doi]
- Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomesOliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen. 220-238 [doi]
- CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasksChao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, RuiJun Chen, Adler J. Perotte, Karthik Natarajan. 239-260 [doi]
- End-to-End Sequential Sampling and Reconstruction for MRITianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman. 261-281 [doi]
- G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment RegimeRui Li, Stephanie Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed Ghalwash, Zach Shahn, Li-Wei H. Lehman. 282-299 [doi]