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Joo Heung Yoon
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2020 – today
- 2024
- [i4]Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu:
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. CoRR abs/2401.13588 (2024) - [i3]Seonhee Cho, Choonghan Kim, Jiho Lee, Chetan Chilkunda, Sujin Choi, Joo Heung Yoon:
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model. CoRR abs/2405.01591 (2024) - [i2]Choonghan Kim, Seonhee Cho, Joo Heung Yoon:
Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information. CoRR abs/2410.07111 (2024) - 2023
- [j1]Junhyeok Ock
, Dayeong Hong
An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino. Comput. Methods Programs Biomed. 233: 107478 (2023) - 2022
- [c2]Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski:
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. AMIA 2022 - [i1]Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski:
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. CoRR abs/2206.09074 (2022) - 2021
- [c1]Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski:
Understanding Clinical Collaborations Through Federated Classifier Selection. MLHC 2021: 126-145
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