Medical AI


[J79] Chih-Hung Wang, Tianyu Hwang, Yu-Sen Huang, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang*, Chien-Hua Huang*.
Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest X-rays in Intensive and Emergency Medicine: A Multi-centre Retrospective Study.
Critical Care Medicine, Accepted.

[J78] Yiuwai Ng, Min-Tsun Liao, Ting-Li Chen, Chih-Kuo Lee, Cheng-Ying Chou*, Weichung Wang*.
Few-shot Transfer Learning for Personalized Atrial Fibrillation Detection using Patient-based Siamese Network with Single-Lead ECG Records.
Artificial Intelligence In Medicine, Volume 144:102644, 2023. 

[J77] Dawei Chang, Po-Ting Chen, Pochuan Wang, Tinghui Wu, Andre Yanchen Yeh, Po-Chang Lee, Yi-Hui Sung, Kao-Lang Liu, Ming-Shiang Wu, Dong Yang, Holger Roth, Wei-Chih Liao*, Weichung Wang*.
Detection of Pancreatic Cancer With Two- and Three-dimensional Radiomic Analysis in a Nationwide Population-based Real-world Dataset.  
BMC Cancer, 23:58, 2023.    

[J76] Po-Ting Chen, Tinghui Wu, Pochuan Wang, Dawei Chang, Kao-Lang Liu, Ming-Shiang Wu, Holger Roth, Po-Chang Lee, Wei-Chih Liao*, Weichung Wang*.
Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.
Radiology, 306(1):172–182, 2023.

[J75] Aly A. Valliani, Faris F. Gulamali, Young Joon Kwon, Michael L. Martini, Chiatse Wang, Douglas Kondziolka, Viola J. Chen, Weichung Wang, Anthony B. Costa, Eric K. Oermann*.
Deploying Deep Learning Models on Unseen Medical Imaging Using Adversarial Domain Adaptation.
PLOS ONE, 2022. 

[J74] Po-Ting Chen, Dawei Chang, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Vin-Cent Wu, Yen-Hung Lin, Chin-Chen Chang*.
Radiomics Utilization to Differentiate Nonfunctional Adenoma in Essential Hypertension and Functional Adenoma in Primary Aldosteronism.
Scientific Reports, 12:8892, 2022.

[J73] Garima Suman, Anurima Patra, Sovanlal Mukherjee, Panagiotis Korffiatis, Ajit H. Goenka*. (Editor) Po-Ting Chen, Dawei Chang, Wei-Chih Liao*, Weichung Wang. (Response)
Radiomics for Detection of Pancreas Adenocarcinoma on CT Scans: Impact of Biliary Stents.

Radiology: Imaging Cancer, 4(1), 2022.

[J72] Ittai Dayan, et al.
Federated Learning for Predicting Clinical Outcomes in Patients With COVID-19.
Nature Medicine, 27:1735–1743, 2021.

[J71] Po-Ting Chen, Dawei Chang, Huihsuan Yen, Kao-Lang Liu, Su-Yun Huang, Holger Roth, Ming-Shiang Wu, Wei-Chih Liao*, Weichung Wang*.
Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas.
Radiology: Imaging Cancer, 3(4), 2021.

[J68] Yu-Fang Hsieh, Chih-Kuo Lee, Weichung Wang, Yu-Cheng Huang, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou*.
Coronary CT Angiography-based Estimation of Myocardial Perfusion Territories and Mass Flow Rates for Coronary Artery FFR and Wall Shear Stress Simulation.
Scientific Reports, 11, 13855, 2021.

[J67] Po-Ting Chen, Dawei Chang, Tinghui Wu, Weichung Wang, Wei-Chih Liao*.
Application of Artificial Intelligence in Pancreatic and Biliary Disease.
Journal of Gastroenterology and Hepatology, Vol. 36, Iss. 2, pp. 286-294, 2021.

[J66] Che-Yu Hsu, Shih-Min Lin, Ngan Ming Tsang, Yu-Hsiang Juan, Chun-Wei Wang, Weichung Wang, Sung-Hsin Kuo*.
Magnetic Resonance Imaging-derived Radiomic Signature Predicts Locoregional Failure After Organ Preservation Therapy in Patients With Hypopharyngeal Squamous Cell Carcinoma.
Clinical and Translational Radiation Oncology, Vol. 25, pp. 1-9, 2020.

[J65] Wei-Chih Liao*, Amber L Simpson, Weichung Wang.
Convolutional Neural Network for the Detection of Pancreatic Cancer on CT Scans – Authors’ Reply.
The Lancet Digital Health, Vol. 2, Iss. 9, e454, 2020. 

[J64] Che-Yu Hsu*, Furen Xiao, Kao-Lang Liu, Ting-Li Chen, Yueh-Chou Lee, Weichung Wang*.
Radiomic Analysis of Magnetic Resonance Imaging Predicts Brain Metastases Velocity and Clinical Outcome After Upfront Radiosurgery.
Neuro-Oncology Advances, vdaa100, 2020.

[J63] Kao-Lang Liu, Tinghui Wu, Po-Ting Chen, Yuhsiang M. Tsai, Holger Roth, Ming-Shiang Wu, Wei-Chih Liao*, Weichung Wang*.
Deep Learning to Distinguish Pancreatic Cancer Tissue From Non-cancerous Pancreatic Tissue: a Retrospective Study With Cross-racial External Validation.
The Lancet Digital Health, Vol. 2, Iss. 6, pp. 303-313, 2020.

[J60] Weichung Wang*, Zhi-Fan He.
Artificial, Augmented and Human Intelligence in the Medical Imaging Chain.
Formosan Journal of Medicine, Vol. 24, Iss. 1, pp. 43-49, 2020. (台灣醫學, 24卷1期,  43-49頁)

[J47] Yu-Jung Tsai, Huang-Ming Huang, Cheng-Ying Chou, Weichung Wang, and Ing-Tsung Hsiao*.
Effective Anatomical Priors for Emission Tomographic Reconstruction.
Journal of Medical and Biological Engineering, 35(1), pp. 52-61, 2015.

[J34] Cheng-Ying Chou, Yun Dong, Yukai Hung, Yu-Jiun Kao, Weichung Wang*, Chien-Min Kao, and Chin-Tu Chen.
Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties.
PLOS ONE, 7(12), e50540, 2012.

[J30] Cheng-Ying Chou, Yi-Yan Chuo, Yukai Hung, and Weichung Wang*.
A Fast Forward Projection Using Multithreads for Multirays on GPUs in Medical Image Reconstruction.
Medical Physics, 38(7), pp. 4052-4065, 2011.