publications

2025

1. Nightingale

   Multimodal Clinical Monitoring in the Emergency Department (MC-MED)

   A Kansal, E Chen, BT Jin, and 2 more authors

   Nightingale Open Science, 2025

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   Comprehensive dataset and framework for multimodal clinical monitoring in emergency department settings.

   @article{kansal2025multimodal_mcmed,
     title = {Multimodal Clinical Monitoring in the Emergency Department (MC-MED)},
     author = {Kansal, A and Chen, E and Jin, BT and Rajpurkar, P and Kim, DA},
     journal = {Nightingale Open Science},
     year = {2025},
     url = {https://doi.org/10.48815/N57P4G}
   }

2. Sci Data

   MC-MED, multimodal clinical monitoring in the emergency department

   A Kansal, E Chen, BT Jin, and 2 more authors

   Scientific Data, 2025

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   Detailed description of the MC-MED dataset for multimodal clinical monitoring applications in emergency departments.

   @article{kansal2025mcmed,
     title = {MC-MED, multimodal clinical monitoring in the emergency department},
     author = {Kansal, A and Chen, E and Jin, BT and Rajpurkar, P and Kim, DA},
     journal = {Scientific Data},
     volume = {12},
     number = {1},
     pages = {1094},
     year = {2025},
   }

2023

1. NeurIPS

   Multimodal clinical benchmark for emergency care (mc-bec): A comprehensive benchmark for evaluating foundation models in emergency medicine

   E Chen, A Kansal, J Chen, and 4 more authors

   In Advances in Neural Information Processing Systems, 2023

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   A comprehensive benchmark for evaluating foundation models in emergency medicine, focusing on multimodal clinical data analysis.

   @inproceedings{chen2023multimodal,
     title = {Multimodal clinical benchmark for emergency care (mc-bec): A comprehensive benchmark for evaluating foundation models in emergency medicine},
     author = {Chen, E and Kansal, A and Chen, J and Jin, BT and Reisler, J and Kim, DE and Rajpurkar, P},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {36},
     pages = {45794--45811},
     year = {2023},
   }

2021

1. ICASSP

   Error-driven fixed-budget asr personalization for accented speakers

   A Awasthi, A Kansal, S Sarawagi, and 1 more author

   In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing, 2021

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   Novel approach for automatic speech recognition personalization targeting accented speakers with budget constraints.

   @inproceedings{awasthi2021error,
     title = {Error-driven fixed-budget asr personalization for accented speakers},
     author = {Awasthi, A and Kansal, A and Sarawagi, S and Jyothi, P},
     booktitle = {ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing},
     year = {2021},
   }