Understanding Clinical Collaborations Through Federated Classifier Selection. - Sebastian Caldas; Joo Heung Yoon; Michael R. Pinsky; Gilles Clermont; Artur Dubrawski (MLHC, 2021)

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. - Arnab Dey; Mononito Goswami; Joo Heung Yoon; Gilles Clermont; Michael R. Pinsky; Marilyn Hravnak; Artur Dubrawski (AMIA, 2022)

An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino. - Junhyeok Ock; Dayeong Hong; Sojin Moon; Yong-Seok Park; Dong-Woo Seo; Joo Heung Yoon; Sung-Hoon Kim; Namkug Kim (Comput. Methods Programs Biomed., 2023)

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. - Darren Liu; Cheng Ding; Delgersuren Bold; Monique Bouvier; Jiaying Lu 001; Benjamin Shickel; Craig S. Jabaley; Wenhui Zhang; Soojin Park; Michael J. Young; Mark S. Wainwright; Gilles Clermont; et al. (CoRR, 2024)

Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model. - Seonhee Cho; Choonghan Kim; Jiho Lee; Chetan Chilkunda; Sujin Choi; Joo Heung Yoon (CoRR, 2024)

Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information. - Choonghan Kim; Seonhee Cho; Joo Heung Yoon (CoRR, 2024)