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ORCIDGeorge Shih
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- Shih-Wen Ke (aka: George Shih-Wen Ke)
- George L. Shih
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2020 – today
- 2024
[j15]Gregory Holste
, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024)- [i12]Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng:
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR abs/2401.15111 (2024) - [i11]Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol C. Wu, Jacob Kazam, Keith Hentel, Adam E. Flanders, George Shih, Yifan Peng:
Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs. CoRR abs/2403.15528 (2024) - [i10]Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak:
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. CoRR abs/2405.19595 (2024) - [i9]Malavikha Sudarshan, Sophie Shih, Estella Yee, Alina Yang, John Zou, Cathy Chen, Quan Zhou, Leon Chen, Chinmay Singhal, George Shih:
Agentic LLM Workflows for Generating Patient-Friendly Medical Reports. CoRR abs/2408.01112 (2024) - [i8]Yishu Wei, Xindi Wang, Hanley Ong, Yiliang Zhou, Adam E. Flanders, George Shih, Yifan Peng:
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels. CoRR abs/2409.16563 (2024) - 2023
- [j14]Mingquan Lin, Bo-Jian Hou, Swati Mishra, Tianyuan Yao, Yuankai Huo, Qian Yang, Fei Wang, George Shih, Yifan Peng:
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. Comput. Biol. Medicine 159: 106962 (2023) - [j13]Paras Lakhani, J. Mongan, Chinmay Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, Theresa X. Pham, Michael Peterson, P. J. Bergquist, Tessa Sundaram Cook, S. F. Ferraciolli, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih:
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 36(1): 365-372 (2023) - [c6]Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) 2023: 663-673 - [i7]Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR abs/2308.09180 (2023) - [i6]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - 2022
- [j12]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132: 104139 (2022) - [j11]Ross W. Filice, Anouk Stein, Ian Pan, George Shih:
Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. J. Digit. Imaging 35(2): 335-339 (2022) - [c5]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA 2022 - [c4]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI 2022: 288-296 - [c3]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI 2022: 22-32 - [c2]Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao:
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. DALI@MICCAI 2022: 112-122 - [i5]Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. CoRR abs/2201.03761 (2022) - [i4]Timothy L. Kline, Felipe Kitamura, Ian Pan, Amine M. Korchi, Neil A. Tenenholtz, Linda Moy, Judy Wawira Gichoya, Igor Santos, Steven Blumer, Misha Ysabel Hwang, Kim-Ann Git, Abishek Shroff, Elad Walach, George Shih, Steve Langer:
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. CoRR abs/2202.01863 (2022) - [i3]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR abs/2204.09599 (2022) - [i2]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR abs/2208.13365 (2022) - 2021
- [j10]Liam J. Caffery, Jochen Weber, Nicholas R. Kurtansky, David A. Clunie, Steve Langer, George Shih, Allan Halpern, Veronica Rotemberg:
DICOM in Dermoscopic Research: an Experience Report and a Way Forward. J. Digit. Imaging 34(4): 967-973 (2021) - [c1]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA 2021 - 2020
- [j9]Ross W. Filice, Anouk Stein, Carol C. Wu, Veronica A. Arteaga, Stephen Borstelmann, Ramya Gaddikeri, Maya Galperin-Aizenberg, Ritu R. Gill, Myrna C. Godoy, Stephen B. Hobbs, Jean Jeudy, Paras Lakhani, Archana Laroia, Sundeep M. Nayak, Maansi R. Parekh, Prasanth Prasanna, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, George Shih:
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. J. Digit. Imaging 33(2): 490-496 (2020) - [i1]Veronica Rotemberg, Nicholas R. Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer:
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR abs/2008.07360 (2020)
2010 – 2019
- 2019
- [j8]Hongyu Chen, Vineeth Gangaram, George Shih:
Developing a More Responsive Radiology Resident Dashboard. J. Digit. Imaging 32(1): 81-90 (2019) - [j7]Steve G. Langer, George Shih, Paul G. Nagy, Bennett A. Landman:
Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies. J. Digit. Imaging 32(5): 897 (2019) - 2018
- [j6]Ranjit S. Sandhu, James Shin, Kenneth C. Wang, George Shih:
Single-Center Experience Implementing the LOINC-RSNA Radiology Playbook for Adult Abdomen/Pelvis CT and MR Procedures Using a Semi-Automated Method. J. Digit. Imaging 31(1): 124-132 (2018) - [j5]Steve G. Langer, George Shih, Paul G. Nagy, Bennett A. Landman:
Collaborative and Reproducible Research: Goals, Challenges, and Strategies. J. Digit. Imaging 31(3): 275-282 (2018) - [j4]Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul G. Nagy, George Shih:
Hello World Deep Learning in Medical Imaging. J. Digit. Imaging 31(3): 283-289 (2018) - 2017
- [j3]James Shin, Ranjit S. Sandhu, George Shih:
Imaging Properties of 3D Printed Materials: Multi-Energy CT of Filament Polymers. J. Digit. Imaging 30(5): 572-575 (2017) - 2015
- [j2]George Shih:
App Review Series Introduction. J. Digit. Imaging 28(1): 7-9 (2015) - 2010
- [j1]George Shih, Paras Lakhani, Paul G. Nagy:
Is Android or iPhone the Platform for Innovation in Imaging Informatics. J. Digit. Imaging 23(1): 2-7 (2010)
Coauthor Index
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