學術論文


人工智慧胰臟癌輔助偵測系統 ・ PANCREASaver

Journal

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, Vol. 4, No. 1, 2021.
https://doi.org/10.1148/rycan.210081

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 Distinguish Pancreatic Cancer from Non-cancerous Pancreas.
Radiology: Imaging Cancer, Vol. 3, No. 4, 2021.
https://doi.org/10.1148/rycan.2021210010

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.
https://doi.org/10.1111/jgh.15380

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.
https://doi.org/10.1016/S2589-7500(20)30188-6

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.
https://doi.org/10.1016/S2589-7500(20)30078-9

Yiming Liu, Ying Chen, Guangming Pan, Weichung Wang, Wei-Chih Liao, Thian Yee Liang, Anastassiades Constantinos, Cheng Ean Chee
Spectral Machine Learning for Pancreatic Mass Imaging Classification.
Submitted.

Po-Ting Chen, Dawei Chang, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Chin-Chen Chang, Vin-Cent Wu, Yen-Hung Lin.
Radiomics Utilization to Differentiate Adrenal Incidentaloma in Essential Hypertension and Primary Aldosteronism.
Submitted.

Conference

Wei-Chih Liao, Dawei Chang, Po-Ting Chen, Pochuan Wang, Kao-Lang Liu, Ming-Shiang Wu, Weichung Wang.
Distinguishing Pancreatic Cancer From Non-cancerous Pancreatic Diseases and Normal Pancreas With Deep Learning-based Segmentation and Radiomics-based Classification.
Digestive Disease Week (DDW), ePoster, May 2022.

Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang*, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, and Kensaku Mori.
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation.
MICCAI Workshop on Distributed and Collaborative Learning, September 2021.

Wei-Chih Liao*, Po-Ting Chen, Tinghui Wu, Dawei Chang, Pochuan Wang, Kao-Lang Liu, Ming-Shiang Wu, Weichung Wang*.
Pancreas Segmentation and Pancreatic Cancer Detection on CT With Deep Learning.
Digestive Disease Week (DDW), Oral Presentation, May 2021.

Po-Ting Chen, Pochuan Wang, Tinghui Wu, Dawei Chang, Holger R. Roth, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang.
Adrenal Gland Segmentation on Abdominal CT Images Using Deep Learning.
International Forum on Medical Imaging in Asia (IFMIA), 2021.
Abstract.

Pochuan Wang*, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, and Kensaku Mori.
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
MICCAI Workshop on Distributed and Collaborative Learning, October 2020.

Wei-Chih Liao, Po-Ting Chen, Hui-Hsuan Yen, Dawei Chang, Kao-Lang Liu, Su-Yun Huang, Holger Roth, Ming-Shiang Wu, Weichung Wang.
Radiomic Features Distinguish Pancreatic Cancer From Non-cancerous Pancreas.
Digestive Disease Week (DDW), Oral Presentation, 2020.

Po-Ting Chen, Huihsuan Yen, Dawei Chang, Wei-Chih Liao, Kao-Lang Liu, Holger R. Roth, Weichung Wang, Tinghui Wu.
Differentiation between Pancreatic Cancer and Nontumorous Pancreas on Computed Tomography by Radiomics and Machine Learning.
Radiological Society of North America (RSNA), December, 2019.

精準放射腫瘤治療顧問 ・ PCA (Precision Cancer Advisor)

Journal

Che-Yu Hsu, Chengen Lee, Chiachi Chang, Kao-Lang Liu, HolgerRoth, Dong Yang, Eric Oermann, Anthony Costa, and Weichung Wang*.
Improving Three-Dimensional Brain Metastases Segmentation with Variable Tumor Size Using C2FNAS and Hybrid Boundary-Focal Dice Loss.
Submitted.

Shih-Min Lin, Hsiu-Ying Ku, Che-Yu Hsu, Weichung Wang, Cheng-Shyong Chang, Tsang-Wu Liu*.
Long-term Survival Effect of the Interval Between Postoperative Chemotherapy and Radiotherapy in Patients with Completely Resected Pathological N2 Non-small-cell Lung Cancer.
Submitted.

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.
https://doi.org/10.1016/j.ctro.2020.08.004

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.
https://doi.org/10.1093/noajnl/vdaa100

Conference

C Lee, C Hsu, Y Lee, P Wang, H R Roth, W Wang.
Three Dimensional Brain Metastases Segmentation Using Coarse-to- Fine Neural Architecture Search with Boundary Loss.
Radiological Society of North America Annual Meeting (RSNA), 2020.

Shihmin Lin, Cheyu Hsu, Yuehchou Lee, T. Li, S. Kuo, Weichung Wang.
Efficacy Evaluation of Optimal Patient Selection for Hypopharyngeal Cancer Organ Preservation Therapy using MRI-derived Radiomic Signature: Bi-institutional Propensity Score Matched Analysis.
European Society for Medical Oncology (ESMO) Congress, October, 2019.

Cheyu Hsu, S. Kuo, Weichung Wang, T.W. Chen, Yuehchou Lee.
Radiographic Phenotyping to Identify Intracranial Disseminated Recurrence in Brain metastases Treated With Radiosurgery Using Contrast-enhanced MR Imaging.
European Society for Medical Oncology (ESMO) Congress, October, 2019.

成像技術 ・ Medical Imaging

Journal

Yu-Jung Tsai, Huang-Ming Huang, Cheng-Ying Chou, Weichung Wang, Ing-Tsung Hsiao*.
Effective Anatomical Priors for Emission Tomographic Reconstruction.
Journal of Medical and Biological Engineering, Vol. 35, pp. 52–61, 2015.
https://doi.org/10.1007/s40846-015-0005-z

Cheng-Ying Chou, Yun Dong, Yukai Hung, Yu-Jiun Kao, Weichung Wang*, Chien-Min Kao, Chin-Tu Chen.
Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties.
PLoS ONE, Vol. 7, Iss. 12, e50540, 2012.
https://doi.org/10.1371/journal.pone.0050540

Cheng-Ying Chou, Yi-Yan Chuo, Yukai Hung, Weichung Wang*.
A Fast Forward Projection Using Multithreads for Multirays on GPUs in Medical Image Reconstruction.
Medical Physics, Vol. 38, Iss. 7, pp. 4052-4065, 2011.
https://doi.org/10.1118/1.3591994

Conference

Chien-Min Kao, Heejong Kim, Chang-Han Huang, Cheng-Ying Chou, Weichung Wang, and Chin-Tu Chen.
A continuous-coordinate image reconstruction method for list-mode time-of-flight position emission tomography.
IEEE Nuclear Science Symposium and Medical Imaging Conference, 2013.

Chih-Kang Huang, Weichung Wang, Kai-Yuan Tzen, Win-Li Lin, Cheng-Ying Chou.
FDOPA kinetics analysis in PET images for Parkinson’s disease diagnosis by use of particle swarm optimization.
IEEE International Symposium on Biomedical Imaging, 2012.

Yae-Lin Sheu, Weichung Wang, Yukai Hung, Pai-Chi Li.
Photoacoustic image reconstruction for linear scanning geometry using particle swarm optimization with a K-space simulation scheme.
SPIE Photonics West, San Francisco, USA, 2010.

智慧醫療概論與教育 ・ General Medical AI

Chao-Jung Huang, Tinghui Wu, Jui-Ting Lu, Beatrice Lin, Dawei Chang, Pochuan Wang, Mei-Chi Wang, Peijung Lee, Weichung Wang.
Developing a Medical Artificial Intelligence Course for High School Students.
International Forum on Medical Imaging in Asia (IFMIA), 2021.
http://dx.doi.org/10.1117/12.2590769
Abstract.

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.
醫學影像分析中的人工智慧、擴增智慧與人類智慧,台灣醫學, 24卷1期, 43-49頁
http://dx.doi.org/10.6320%2fFJM.202001_24(1).0004

Weichung Wang*.
Artificial, Augmented, and Human Intelligence for Medical Image Analysis for Our Health.
NTU Landscape, Iss. 5, 2019.
PDF

聯邦學習 ・ Federated Learning

Ittai Dayan, et al.
Federated Learning for Predicting Clinical Outcomes in Patients With COVID-19.
Nature Medicine, 2021.
https://doi.org/10.1038/s41591-021-01506-3

Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang*, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, and Kensaku Mori.
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation.
MICCAI Workshop on Distributed and Collaborative Learning, September 2021.

Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, and Kensaku Mori*.
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
MICCAI Workshop on Distributed and Collaborative Learning, October 2020.

醫學影像智慧檢索 ・ BodyPart

Feng-Mao Lin, Chi-Wen Chen, Wei-Da Huang, Liangtsan Wu, Anthony Costa, Eric K. Oermann and Weichung Wang.
Constructing a Platform based on Deep Learning Model to Mimic the Self-Organization Process of CT Images Order for Automatically Recognizing Human Anatomy.
Radiological Society of North America (RSNA), December, 2019.

冠狀動脈疾病診斷智慧助手 ・ CADDIE

Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou, and Weichung Wang*.
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN.
The 12th Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM 2021). Lecture Notes in Computer Science, Vol 13131, Springer.
https://doi.org/10.1007/978-3-030-93722-5_23

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.
https://doi.org/10.1038/s41598-021-93237-1

Chiatse Wang, Chih-Kuo Lee, Yu-Cheng Huang, Wen-Jeng Lee, Tzung-Dau Wang, Weichung Wang, Cheng-Ying Chou, Junting Chen, Weidao Lee.
Severe Stenosis Detection using 2D Convolutional Recurrent Network.
European Society of Cardiology (ESC) Congress, September, 2019.

全基因組關聯分析 ・ GWAS

Yen-Chen Chen, Yi-Ju Lee, Chiachi Chang, Su-Yun Huang, Albert C. Yang, Shih-Jen Tsai, Weichung Wang*.
Computing Extreme Tail Probabilities of Multiple t-tests and a GPU-accelerated Genome-wide Association Study.
Submitted.