Choi, Edward

39 publications

NeurIPS 2025 CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-Rays Hyungyung Lee, Geon Choi, Jung-Oh Lee, Hangyul Yoon, Hyuk Gi Hong, Edward Choi

NeurIPS 2025 Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing Eunbyeol Cho, Jiyoun Kim, Minjae Lee, Sungjin Park, Edward Choi

CHIL 2025 LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records Sujeong Im, Jungwoo Oh, Edward Choi

NeurIPS 2025 PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions Daeun Kyung, Hyunseung Chung, Seongsu Bae, Jiho Kim, Jae Ho Sohn, Taerim Kim, Soo Kyung Kim, Edward Choi

CHIL 2025 Towards Predicting Temporal Changes in a Patient’s Chest X-Ray Images Based on Electronic Health Records Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi

NeurIPS 2025 Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties Jiyoung Lee, Seungho Kim, Jieun Han, Jun-Min Lee, Kitaek Kim, Alice Oh, Edward Choi

CHIL 2024 Conference on Health, Inference, and Learning (CHIL) 2024 Tom Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi

NeurIPS 2024 EHRCon: Dataset for Checking Consistency Between Unstructured Notes and Structured Tables in Electronic Health Records Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi

NeurIPS 2024 EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, Dongchul Cha, Hangyul Yoon, Kwanghyun Kim, Jeewon Yang, Seunghyun Won, Edward Choi

MLHC 2024 General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang, Chami Im, Sung Yoon Lim, Han-Gil Jeong, Edward Choi

ICLR 2024 Self-Supervised Contrastive Learning for Long-Term Forecasting Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi

ICLRW 2024 Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi

CHIL 2024 Vision-Language Generative Model for View-Specific Chest X-Ray Generation Hyungyung Lee, Da Young Lee, Wonjae Kim, Jin-Hwa Kim, Tackeun Kim, Jihang Kim, Leonard Sunwoo, Edward Choi

ECML-PKDD 2023 Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi

NeurIPS 2023 ECG-QA: A Comprehensive Question Answering Dataset Combined with Electrocardiogram Jungwoo Oh, Gyubok Lee, Seongsu Bae, Joon-myoung Kwon, Edward Choi

NeurIPS 2023 EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-Ray Images Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I. Chang, Tackeun Kim, Edward Choi

MLHC 2023 Learning Missing Modal Electronic Health Records with Unified Multi-Modal Data Embedding and Modality-Aware Attention Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee

CHIL 2023 Rediscovery of CNN’s Versatility for Text-Based Encoding of Raw Electronic Health Records Eunbyeol Cho, Minjae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi

AAAI 2023 Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo

ICLRW 2023 Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

WACV 2023 Task Agnostic and Post-Hoc Unseen Distribution Detection Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi

CHIL 2023 Towards the Practical Utility of Federated Learning in the Medical Domain Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi

NeurIPS 2023 VisAlign: Dataset for Measuring the Alignment Between AI and Humans in Visual Perception Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O-Kil Kwon, Edward Choi

NeurIPS 2022 EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi

CHIL 2022 Graph-Text Multi-Modal Pre-Training for Medical Representation Learning Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi

CHIL 2022 Lead-Agnostic Self-Supervised Learning for Local and Global Representations of Electrocardiogram Jungwoo Oh, Hyunseung Chung, Joon-myoung Kwon, Dong-gyun Hong, Edward Choi

CHIL 2022 Real-Time Seizure Detection Using EEG: A Comprehensive Comparison of Recent Approaches Under a Realistic Setting Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi

CHIL 2022 Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records Daeyoung Kim, Seongsu Bae, Seungho Kim, Edward Choi

ICLRW 2022 Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer Hyungyung Lee, Sungjin Park, Edward Choi

CHIL 2022 Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Younghak Kim, Edward Choi

NeurIPSW 2021 Conditional Generation of Periodic Signals with Fourier-Based Decoder Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi

MLHC 2021 Knowledge Graph-Based Question Answering with Electronic Health Records Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi

AAAI 2021 Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi

AAAI 2020 Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai

ICLR 2018 Compositional Obverter Communication Learning from Raw Visual Input Edward Choi, Angeliki Lazaridou, Nando de Freitas

NeurIPS 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi, Cao Xiao, Walter Stewart, Jimeng Sun

MLHC 2017 Generating Multi-Label Discrete Patient Records Using Generative Adversarial Networks Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun

MLHC 2016 Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun

NeurIPS 2016 RETAIN: An Interpretable Predictive Model for Healthcare Using Reverse Time Attention Mechanism Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter Stewart