Eric Y. Chang

According to our database, Eric Y. Chang authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Skeletal Muscle Assessment Using Quantitative Ultrasound: A Narrative Review.

Aria Ashir, Saeed Jerban, Victor Barrère, Yuanshan Wu, Sameer B. Shah, Michael P. Andre, Eric Y. Chang

Sensors, 2023

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.

Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report.

Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.

An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet.

Xing Lu, Eric Y. Chang, Chun-Nan Hsu, Jiang Du, Amilcare Gentili

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.

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

BMC Medical Informatics Decis. Mak., 2020

ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports.

Xing Lu, Eric Y. Chang, Zhaohui Liu, Chun-Nan Hsu, Jiang Du, Amilcare Gentili

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning.

Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Yajun Ma, Eric Y. Chang, Sameer Shah, Jiang Du

CoRR, 2019