Min-Hee Lee

14 papers B 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ESM-AnatTractNet: Advanced deep learning model of true positive eloquent white matter tractography to improve preoperative evaluation of pediatric epilepsy surgery.
Medical Image Anal.
Min-Hee Lee, Bohan Xiao, Soumyanil Banerjee, Hiroshi Uda, Yoon Ho Hwang, Csaba Juhász, Eishi Asano, Ming Dong, Jeong-Won Jeong
2025 J jnl
Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy.
IEEE Trans. Biomed. Eng.
Min-Hee Lee, Soumyanil Banerjee, Hiroshi Uda, Alanna Carlson, Ming Dong, Robert Rothermel, Csaba Juhász, Eishi Asano, Jeong-Won Jeong
2025 J jnl
Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of 106 Patients.
NeuroImage
Aya Kanno, Ryuzaburo Kochi, Kazuki Sakakura, Yu Kitazawa, Hiroshi Uda, Riyo Ueda, Masaki Sonoda, Min-Hee Lee, Jeong-Won Jeong, Robert Rothermel, Aimee F. Luat, Eishi Asano
2025 J jnl
Millisecond-Scale White Matter Dynamics Underlying Visuomotor Integration.
NeuroImage
Riyo Ueda, Hiroshi Uda, Keisuke Hatano, Kazuki Sakakura, Naoto Kuroda, Yu Kitazawa, Aya Kanno, Min-Hee Lee, Jeong-Won Jeong, Aimee F. Luat, Eishi Asano
2024 — conf
Localization of Epileptogenicity Using Incomplete MRI Sequence Data in Children with Seizure Onset Zone Involving Temporal Lobe.
ISBI
Soumyanil Banerjee, Qisheng He, Min-Hee Lee, Ming Dong, Eishi Asano, Jeong-Won Jeong
2022 J jnl
Developmental organization of neural dynamics supporting auditory perception.
NeuroImage
Kazuki Sakakura, Masaki Sonoda, Takumi Mitsuhashi, Naoto Kuroda, Ethan Firestone, Nolan O'Hara, Hirotaka Iwaki, Min-Hee Lee, Jeong-Won Jeong, Robert Rothermel, Aimee F. Luat, Eishi Asano
2022 J jnl
Multi-Scale Deep Learning of Clinically Acquired Multi-Modal MRI Improves the Localization of Seizure Onset Zone in Children With Drug-Resistant Epilepsy.
IEEE J. Biomed. Health Informatics
Jeong-Won Jeong, Min-Hee Lee, Naoto Kuroda, Kazuki Sakakura, Nolan O'Hara, Csaba Juhász, Eishi Asano
2021 J jnl
Deep Relational Reasoning for the Prediction of Language Impairment and Postoperative Seizure Outcome Using Preoperative DWI Connectome Data of Children With Focal Epilepsy.
IEEE Trans. Medical Imaging
Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Csaba Juhász, Eishi Asano, Jeong-Won Jeong
2020 J jnl
Dynamic tractography: Integrating cortico-cortical evoked potentials and diffusion imaging.
NeuroImage
Brian H. Silverstein, Eishi Asano, Ayaka Sugiura, Masaki Sonoda, Min-Hee Lee, Jeong-Won Jeong
2020 J jnl
Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-Driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy.
IEEE Trans. Biomed. Eng.
Min-Hee Lee, Nolan O'Hara, Masaki Sonoda, Naoto Kuroda, Csaba Juhász, Eishi Asano, Ming Dong, Jeong-Won Jeong
2020 — conf
Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data.
ISBI
Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Eishi Asano, Jeong-Won Jeong
2019 J jnl
Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks.
IEEE Trans. Medical Imaging
Haotian Xu, Ming Dong, Min-Hee Lee, Noel O'Hara, Eishi Asano, Jeong-Won Jeong
2018 J jnl
Topological Properties of the Structural Brain Network in Autism via ϵ-Neighbor Method.
IEEE Trans. Biomed. Eng.
Min-Hee Lee, Dong Youn Kim, Moo K. Chung, Andrew L. Alexander, Richard J. Davidson
2015 B conf
Comparisons of topological properties in autism for the brain network construction methods.
Image Processing
Min-Hee Lee, Dong Youn Kim, Sang-Hyeon Lee, Jinuk Kim, Moo K. Chung