Publications

Published

2024

• Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System
  Niroop Rajashekar, Yeo Eun Shin, Yuan Pu, Sunny Chung, KY, Mauro Giuffrè, Colleen Chan, Theo Saarinen, Allen Hsiao, Jasjeet Sekhon, Ambrose Wong, Leigh Evans, Rene Kizilcec, Loren Laine, Terika Mccall, and Dennis Shung.
  CHI Conference on Human Factors in Computing Systems.
  Publisher's site
• On the Wasserstein median of probability measures
  KY, Dennis Shung, and Mauro Giuffrè.
  Journal of Computational and Graphical Statistics.
  Preprint Code Publisher's site
• Systematic review: The use of large language models as medical chatbots in digestive diseases
  Mauro Giuffrè, Simone Kresevic, KY, Johannes Dupont, Jack Huebner, Alyssa Grimshaw, and Dennis Shung.
  Alimentary Pharmacology & Therapeutics.
  Publisher's site
• Bayesian Optimal Two-sample Tests for High-dimensional Gaussian Populations
  Kyoungjae Lee, KY, and Lizhen Lin.
  Bayesian Analysis.
  Preprint Publisher's site
• Adoption of a gastroenterology hospitalist model and the impact on inpatient endoscopic practice volume: a controlled interrupted time-series analysis
  Dennis Shung, Darrick Li, KY, Kenneth Hung, Loren Laine, and Michelle Hughes.
  iGIE.
  Publisher's site
• Detection of Gastrointestinal Bleeding with Large Language Models to Aid Quality Improvement and Appropriate Reimbursement
  Neil Zheng, Vipina Keloth, KY, Daniel Kats, Darrick Li, Ohm Deshpande, Hamita Sachar, Hua Xu, Loren Laine, and Dennis Shung.
  Gastroenterology.
  Publisher's site
• Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices
  Mauro Giuffrè, Johannes Dupont, Alessia Visintin, Flora Masutti, Fabio Monica, KY, Dennis Shung, Lory Crocè, and The NSBB-Elasto-Response-Prediction Group.
  Hepatology International.
  Publisher's site
• Optimizing large language models in digestive disease: strategies and challenges to improve clinical outcomes
  Mauro Giuffrè, Simone Kresevic, Nicola Pugliese, KY, and Dennis Shung.
  Liver International.
  Publisher's site
• Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding
  Dennis Shung, Colleen Chan, KY, Shinpei Nakamura, Theo Saarinen, Neil Zheng, Michael Simonov, Darrick Li, Cynthia Tsay, Yuki Kawamura, Matthew Shen, Allen Hsiao, Jasjeet Sekhon, and Loren Laine.
  Gastroenterology.
  Publisher's site

2023

• On the Spherical Laplace Distribution
  KY and Dennis Shung.
  International Conference on Information Fusion (FUSION).
  Preprint Publisher's site
• Single-cell analysis reveals inflammatory interactions driving macular degeneration
  Manik Kuchroo, Marcello DiStasio, Eric Song, Eda Calapkulu, Le Zhang, Maryam Ige, Amar Sheth, Abdelilah Majdoubi, Madhvi Menon, Alexander Tong, Abhinav Godavarthi, Yu Xing, Scott Gigante, Holly Steach, Jessie Huang, Guillaume Huguet, Janhavi Narain, KY, George Mourgkos, Rahul Dhodapkar, Matthew Hirn, Bastian Rieck, Guy Wolf, Smita Krishnaswamy, and Brian Hafler.
  Nature Communications.
  Publisher's site
• Evaluating ChatGPT in Medical Contexts: The Imperative to Guard Against Hallucinations and Partial Accuracies
  Mauro Giuffrè, KY, and Dennis Shung.
  Clinical Gastroenterology and Hepatology.
  Publisher's site
• Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk
  Colleen Chan, KY, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, Rene Kizilcec, Jasjeet Sekhon, and Dennis Shung.
  Machine Learning for Health (ML4H) Symposium.
  Preprint

2022

• Network Distance Based on Laplacian Flows on Graphs
  Dianbin Bao, KY, and Lizhen Lin.
  IEEE International Conference on Big Data (Big Data).
  Preprint Code Publisher's site
• Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere
  KY and Changhee Suh.
  Computational Statistics and Data Analysis.
  Preprint Code Publisher's site
• Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation
  KY and Dennis Shung.
  Software Impacts.
  Preprint Code Publisher's site
• Learning Subspaces of Different Dimensions
  Brian St. Thomas, KY, Lizhen Lin, Lek-Heng Lim, and Sayan Mukherjee.
  Journal of Computational and Graphical Statistics.
  Preprint Code Publisher's site
• Geometric learning of functional brain network on the correlation manifold
  KY and Hae-Jeong Park.
  Scientific Reports.
  Code Publisher's site

2021

• Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity
  KY and Hae-Jeong Park.
  NeuroImage.
  Code Publisher's site

2020

• Data transforming augmentation for heteroscedastic models
  Hyungsuk Tak, KY, Sujit K. Ghosh, Bingyue Su, and Joseph Kelly.
  Journal of Computational and Graphical Statistics.
  Preprint Publisher's site

2019

• Volume change pattern of decompression of mandibular odontogenic keratocyst
  Jin Hoo Park, Eun-Jung Kwak, KY, Young-Soo Jung, and Hwi-Dong Jung.
  Maxillofacial Plastic and Reconstructive Surgery.
  Publisher's site

2016

• Vision-based detection of loosened bolts using the Hough transform and support vector machines
  Young-Jin Cha, KY, and Wooram Choi.
  Automation in Construction.
  Publisher's site

Preprint

• PCA, SVD, and Centering of Data
  Donggun Kim and KY (2023).
  Preprint

• Comparing multiple latent space embeddings using topological analysis
  KY, Ilmun Kim, Ick Hoon Jin, Minjeong Jeon, and Dennis Shung (2022).
  Preprint Code

• Shape-Preserving Dimensionality Reduction : An Algorithm and Measures of Topological Equivalence
  Byeongsu Yu and KY (2021).
  Preprint