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@inproceedings{DBLP:conf/ml4h/BaeKKC21,
  author       = {Seongsu Bae and
                  Daeyoung Kim and
                  Jiho Kim and
                  Edward Choi},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Question Answering for Complex Electronic Health Records Database
                  using Unified Encoder-Decoder Architecture},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {13--25},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/bae21a.html},
  timestamp    = {Wed, 27 Apr 2022 11:50:08 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/BaeKKC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/CarrJRPD21,
  author       = {Oliver Carr and
                  Avelino Javer and
                  Patrick Rockenschaub and
                  Owen Parsons and
                  Robert D{\"{u}}richen},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Longitudinal patient stratification of electronic health records with
                  flexible adjustment for clinical outcomes},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {220--238},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/carr21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/CarrJRPD21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/ComptonVDHKAK21,
  author       = {Rhys Compton and
                  Ilya Valmianski and
                  Li Deng and
                  Costa Huang and
                  Namit Katariya and
                  Xavier Amatriain and
                  Anitha Kannan},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {{MEDCOD:} {A} Medically-Accurate, Emotive, Diverse, and Controllable
                  Dialog System},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {110--129},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/compton21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/ComptonVDHKAK21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/DietrichFESLSZB21,
  author       = {Esther Dietrich and
                  Patrick Fuhlert and
                  Anne Ernst and
                  Guido Sauter and
                  Maximilian Lennartz and
                  H. Siegfried Stiehl and
                  Marina Zimmermann and
                  Stefan Bonn},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Towards Explainable End-to-End Prostate Cancer Relapse Prediction
                  from H{\&}E Images Combining Self-Attention Multiple Instance
                  Learning with a Recurrent Neural Network},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {38--53},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/dietrich21a.html},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/DietrichFESLSZB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/EndoKKNR21,
  author       = {Mark Endo and
                  Rayan Krishnan and
                  Viswesh Krishna and
                  Andrew Y. Ng and
                  Pranav Rajpurkar},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained
                  Contrastive Language-Image Model},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {209--219},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/endo21a.html},
  timestamp    = {Sun, 02 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/EndoKKNR21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/GopalHRNTR21,
  author       = {Bryan Gopal and
                  Ryan W. Han and
                  Gautham Raghupathi and
                  Andrew Y. Ng and
                  Geoffrey H. Tison and
                  Pranav Rajpurkar},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired
                  Augmentations},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {156--167},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/gopal21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/GopalHRNTR21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/HoTM21,
  author       = {Danliang Ho and
                  Iain Bee Huat Tan and
                  Mehul Motani},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Prognosticating Colorectal Cancer Recurrence using an Interpretable
                  Deep Multi-view Network},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {97--109},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/ho21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/HoTM21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/JaiswalTGRP021,
  author       = {Ajay Jaiswal and
                  Liyan Tang and
                  Meheli Ghosh and
                  Justin F. Rousseau and
                  Yifan Peng and
                  Ying Ding},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report
                  Classification},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {196--208},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/jaiswal21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/JaiswalTGRP021.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/KuzmanovicHF21,
  author       = {Milan Kuzmanovic and
                  Tobias Hatt and
                  Stefan Feuerriegel},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Deconfounding Temporal Autoencoder: Estimating Treatment Effects over
                  Time Using Noisy Proxies},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {143--155},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/kuzmanovic21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/KuzmanovicHF21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/LiHLUCSMLGSL21,
  author       = {Rui Li and
                  Stephanie M. Hu and
                  Mingyu Lu and
                  Yuria Utsumi and
                  Prithwish Chakraborty and
                  Daby M. Sow and
                  Piyush Madan and
                  Jun Li and
                  Mohamed F. Ghalwash and
                  Zach Shahn and
                  Li{-}Wei H. Lehman},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {G-Net: a Recurrent Network Approach to G-Computation for Counterfactual
                  Prediction Under a Dynamic Treatment Regime},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {282--299},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/li21a.html},
  timestamp    = {Wed, 24 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/ml4h/LiHLUCSMLGSL21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/PangJKSCPN21,
  author       = {Chao Pang and
                  Xinzhuo Jiang and
                  Krishna S. Kalluri and
                  Matthew E. Spotnitz and
                  Ruijun Chen and
                  Adler J. Perotte and
                  Karthik Natarajan},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {{CEHR-BERT:} Incorporating temporal information from structured {EHR}
                  data to improve prediction tasks},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {239--260},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/pang21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/PangJKSCPN21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/QendroCLM21,
  author       = {Lorena Qendro and
                  Alexander Campbell and
                  Pietro Li{\`{o}} and
                  Cecilia Mascolo},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Early Exit Ensembles for Uncertainty Quantification},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {181--195},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/qendro21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/QendroCLM21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/RoyPTOFZSZMZMA21,
  author       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Machine Learning for Health {(ML4H)} 2021},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {1--12},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/roy21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/RoyPTOFZSZMZMA21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/RubinENTC21,
  author       = {Jonathan Rubin and
                  Ramon Erkamp and
                  Ragha Srinivasa Naidu and
                  Anumod Odungatta Thodiyil and
                  Alvin Chen},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Attention Distillation for Detection Transformers: Application to
                  Real-Time Video Object Detection in Ultrasound},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {26--37},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/rubin21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/RubinENTC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/Truong0L21,
  author       = {Tuan Truong and
                  Sadegh Mohammadi and
                  Matthias Lenga},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {How Transferable are Self-supervised Features in Medical Image Classification
                  Tasks?},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {54--74},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/truong21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/Truong0L21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/ValmianskiFSWLZ21,
  author       = {Ilya Valmianski and
                  Nave Frost and
                  Navdeep Sood and
                  Yang Wang and
                  Baodong Liu and
                  James J. Zhu and
                  Sunil Karumuri and
                  Ian M. Finn and
                  Daniel S. Zisook},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {SmartTriage: {A} system for personalized patient data capture, documentation
                  generation, and decision support},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {75--96},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/valmianski21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/ValmianskiFSWLZ21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/WaghWRBBBWJV21,
  author       = {Neeraj Wagh and
                  Jionghao Wei and
                  Samarth Rawal and
                  Brent M. Berry and
                  Leland Barnard and
                  Benjamin H. Brinkmann and
                  Gregory A. Worrell and
                  David T. Jones and
                  Yogatheesan Varatharajah},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Domain-guided Self-supervision of {EEG} Data Improves Downstream Classification
                  Performance and Generalizability},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {130--142},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/wagh21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/WaghWRBBBWJV21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/WangLMBHG21,
  author       = {Peiqi Wang and
                  Ruizhi Liao and
                  Daniel Moyer and
                  Seth J. Berkowitz and
                  Steven Horng and
                  Polina Golland},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Image Classification with Consistent Supporting Evidence},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {168--180},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/wang21a.html},
  timestamp    = {Tue, 15 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/WangLMBHG21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ml4h/YinWSDYB21,
  author       = {Tianwei Yin and
                  Zihui Wu and
                  He Sun and
                  Adrian V. Dalca and
                  Yisong Yue and
                  Katherine L. Bouman},
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {End-to-End Sequential Sampling and Reconstruction for {MRI}},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  pages        = {261--281},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v158/yin21a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/YinWSDYB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/ml4h/2021,
  editor       = {Subhrajit Roy and
                  Stephen Pfohl and
                  Emma Rocheteau and
                  Girmaw Abebe Tadesse and
                  Luis Oala and
                  Fabian Falck and
                  Yuyin Zhou and
                  Liyue Shen and
                  Ghada Zamzmi and
                  Purity Mugambi and
                  Ayah Zirikly and
                  Matthew B. A. McDermott and
                  Emily Alsentzer},
  title        = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021,
                  Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {158},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {http://proceedings.mlr.press/v158/},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ml4h/2021.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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