學術論文

人工智慧胰臟癌輔助偵測系統 ・ PANCREASaver

Journal

[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.
https://doi.org/10.1186/s12885-023-10536-8    

[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.
https://doi.org/10.1148/radiol.220152

[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.
 https://doi.org/10.1148/rycan.210081

[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.
https://doi.org/10.1148/rycan.2021210010

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

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

[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.
https://doi.org/10.1016/s2589-7500(20)30078-9

Conference

[C39] Po-Ting Chen, Wei-Chih Liao, Dawei Chang, Pochuan Wang, Kao-Lang Liu, Ming-Shiang Wu, Weichung Wang.

External Validation of Pancreatic Cancer Detection on CT with A Computer-aided Detection Tool Combining Radiomics and Deep Learning Models

Radiological Society of North America Annual Meeting (RSNA), 2022.

[C37] 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.

[C34] 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.

[C33] 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.

[C32] 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.

[C30] 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.

[C28] 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.

[C26] 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

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

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

Conference

[C40] Cheyu Hsu and Weichung Wang. 

Multi-modality Epidermal Growth Factor Receptor Mutation Associated Radiographic Phenotype Predicts Lesion-wise Progression of Brain Metastases from Non-small Cell Lung Cancer after Upfront Radiosurgery.

Radiological Society of North America Annual Meeting (RSNA), 2022.

[C36] Cheyu Hsu, Chunhao Chang, Tom Weiwu Chen, Hsinhan Tsai, Shihchieh Ma, Weichung Wang*.

Brain Tumor Segmentation (BraTS) Challenge Short Paper: Improving Three-Dimensional Brain Tumor Segmentation Using SegResnet and Hybrid Boundary-Dice Loss.

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 7th International Workshop, BrainLes 2021

https://doi.org/10.1007/978-3-031-09002-8_30

[C29] 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.

[C25] 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.

[C24] 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.

聯邦學習 ・ Federated Learning

Journal

[J72] Ittai Dayan, et al.

Federated Learning for Predicting Clinical Outcomes in Patients With COVID-19.

Nature Medicine, 27:1735–1743, 2021.

https://doi.org/10.1038/s41591-021-01506-3

[J72] Ittai Dayan, et al.
Federated Learning for Predicting Clinical Outcomes in Patients With COVID-19.
Nature Medicine, 27:1735–1743, 2021.
https://doi.org/10.1038/s41591-021-01506-3

Conference

[C38 ] Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang* and Holger R. Roth.

Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning.

International Workshop on Distributed, Collaborative, and Federated Learning, 2022.

https://doi.org/10.1007/978-3-031-18523-6_6

[C34] 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.

[C28] 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.

多面向X光解決方案 ・ Omni X-ray Solutions

Journal

[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.

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 Nasogastric Tubes on Portable Supine Chest X-rays in Intensive Care and Emergency Medicine: A Multi-centre Retrospective Study.
Submitted.

Chih-Hung Wang, Tzuching Lin, Guanru Chen, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang*, Chien-Hua Huang*.
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study.
Submitted.

Chih-Hung Wang, Weishan Chang, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang*, Chien-Hua Huang*.
Deep Learning-Based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study.
Submitted.

心血管疾病智慧輔助診斷 ・  Cardiovascular Suite

Journal

[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.

https://doi.org/10.1016/j.artmed.2023.102644 

Jeng-En Wu, Chih-Kuo Lee, Ting-Li Chen, Min-Tsun Liao, Weichung Wang*, Cheng-Ying Chou*.
Multimodal Deep Learning Model for Timely Screening of Patients with Abnormal N-terminal Pro-B-type Natriuretic Peptide in the Emergency Department Using Chest X-rays and Electronic Health Records.
Submitted.

[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.

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

Conference

[C35]  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

[C23] 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.

成像技術 ・ Medical Imaging

Journal


[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.
https://doi.org/10.1007/s40846-015-0005-z



[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.
https://doi.org/10.1371/journal.pone.0050540



[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.
https://doi.org/10.1118/1.3591994


Conference

[C19] 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.

[C16] 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.

[C14] 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.

醫學影像智慧檢索 ・ BodyPart

Conference

[C27] 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.

全基因組關聯分析 ・ GWAS

Journal / Conference

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.

先進技術 ・ Advanced Technology for Medical AI

Journal

[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.

https://doi.org/10.1371/journal.pone.0273262 

[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.

https://doi.org/10.1038/s41598-022-12835-9

智慧醫療概論與教育 ・ General Medical AI

Journal

[J60] Weichung Wang*, Zhi-Fan He.

Artificial, Augmented and Human Intelligence in the Medical Imaging Chain.

(醫學影像分析中的人工智慧、擴增智慧與人類智慧)

Formosan Journal of Medicine, Vol. 24, Iss. 1, pp. 43-49, 2020. (台灣醫學, 24卷1期,  43-49頁)

http://dx.doi.org/10.6320%2fFJM.202001_24(1).0004

Conference

[C31] 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.

https://doi.org/10.1117/12.2590769

Abstract.

Journal / Conference

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