Eric Y. Chang

14 papers A* 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
UTE MRI for assessing demyelination in an mTBI mouse model: An open-field low-intensity blast study.
NeuroImage
Yajun Ma, Qingbo Tang, Xin Cheng, Jiyo S. Athertya, David Coughlin, Eric Y. Chang, Catherine E. Johnson, Jiankun Cui, Zezong Gu, Jiang Du
2025 J jnl
Ultrashort Echo Time Quantitative Susceptibility Source Separation in Musculoskeletal System: A Feasibility Study.
J. Imaging
Sam Sedaghat, Jinil Park, Eddie Fu, Annette von Drygalski, Yajun Ma, Eric Y. Chang, Jiang Du, Lorenzo Nardo, Hyungseok Jang
2024 J jnl
Deep Convolutional Neural Network for Dedicated Regions-of-Interest Based Multi-Parameter Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Knee Joint.
J. Imaging Inform. Medicine
Xing Lu, Yajun Ma, Eric Y. Chang, Jiyo S. Athertya, Hyungseok Jang, Saeed Jerban, Dana C. Covey, Susan Bukata, Christine B. Chung, Jiang Du
2024 J jnl
Longitudinal Imaging of Injured Spinal Cord Myelin and White Matter with 3D Ultrashort Echo Time Magnetization Transfer (UTE-MT) and Diffusion MRI.
J. Imaging
Qingbo Tang, Yajun Ma, Qun Cheng, Yuanshan Wu, Junyuan Chen, Jiang Du, Pengzhe Lu, Eric Y. Chang
2023 A* conf
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.
EMNLP
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.
CoRR
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
Skeletal Muscle Assessment Using Quantitative Ultrasound: A Narrative Review.
Sensors
Aria Ashir, Saeed Jerban, Victor Barrère, Yuanshan Wu, Sameer B. Shah, Michael P. Andre, Eric Y. Chang
2022 — conf
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report.
CLEF (Working Notes)
Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili
2021 — conf
Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet.
CLEF (Working Notes)
Xing Lu, Eric Y. Chang, Chun-Nan Hsu, Jiang Du, Amilcare Gentili
2021 — conf
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
EMNLP (Findings)
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2021 J jnl
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
CoRR
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2020 — conf
ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports.
CLEF (Working Notes)
Xing Lu, Eric Y. Chang, Zhaohui Liu, Chun-Nan Hsu, Jiang Du, Amilcare Gentili
2020 J jnl
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.
BMC Medical Informatics Decis. Mak.
Wei Tse Li, Jiayan Ma, Neil Shende, Grant Castaneda, Jaideep Chakladar, Joseph C. Tsai, Lauren Apostol, Christine O. Honda, Jingyue Xu, Lindsay M. Wong, Tianyi Zhang, Abby Lee, Aditi Gnanasekar, Thomas K. Honda, Selena Z. Kuo, Michael Andrew Yu, Eric Y. Chang, Mahadevan, Weg M. Ongkeko
2019 J jnl
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning.
CoRR
Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Yajun Ma, Eric Y. Chang, Sameer Shah, Jiang Du