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Yiqiu Shen

Showing results (1-10 of 24) with videos related to

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Proceedings of Machine Learning Research|January 28, 2022
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisKangning Liu, Yiqiu Shen, Nan Wu, et al.
Abdominal Radiology (New York)|December 2, 2024
Multi-modal large language models in radiology: principles, applications, and potentialYiqiu Shen, Yanqi Xu, Jiajian Ma, et al.
Radiology|January 26, 2023
ChatGPT and Other Large Language Models Are Double-edged SwordsYiqiu Shen, Laura Heacock, Jonathan Elias, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|March 10, 2020
Globally-Aware Multiple Instance Classifier for Breast Cancer ScreeningYiqiu Shen, Nan Wu, Jason Phang, et al.
Abdominal Radiology (New York)|April 17, 2026
Automated report-based tracking of pancreatic cysts: implications for guideline-defined growth classificationChenchan Huang, Beisong Liu, Stella K Kang, et al.
Radiology|June 24, 2020
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis InitiativeKevin Leung, Bofei Zhang, Jimin Tan, et al.
Abdominal Radiology (New York)|October 29, 2024
Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniquesChenchan Huang, Yiqiu Shen, Samuel J Galgano, et al.
Environmental Science and Pollution Research International|June 26, 2019
Distribution, source, and environmental risk assessment of phthalate esters (PAEs) in water, suspended particulate matter, and sediment of a typical Yangtze River Delta City, ChinaHui Chen, Wei Mao, Yiqiu Shen, et al.
Journal of Digital Imaging|November 3, 2021
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening MammogramsNan Wu, Zhe Huang, Yiqiu Shen, et al.
Medical Image Analysis|December 31, 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationYiqiu Shen, Nan Wu, Jason Phang, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Proceedings of Machine Learning Research|January 28, 2022
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisKangning Liu, Yiqiu Shen, Nan Wu, et al.
Abdominal Radiology (New York)|December 2, 2024
Multi-modal large language models in radiology: principles, applications, and potentialYiqiu Shen, Yanqi Xu, Jiajian Ma, et al.
Radiology|January 26, 2023
ChatGPT and Other Large Language Models Are Double-edged SwordsYiqiu Shen, Laura Heacock, Jonathan Elias, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|March 10, 2020
Globally-Aware Multiple Instance Classifier for Breast Cancer ScreeningYiqiu Shen, Nan Wu, Jason Phang, et al.
Abdominal Radiology (New York)|April 17, 2026
Automated report-based tracking of pancreatic cysts: implications for guideline-defined growth classificationChenchan Huang, Beisong Liu, Stella K Kang, et al.
Radiology|June 24, 2020
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis InitiativeKevin Leung, Bofei Zhang, Jimin Tan, et al.
Abdominal Radiology (New York)|October 29, 2024
Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniquesChenchan Huang, Yiqiu Shen, Samuel J Galgano, et al.
Environmental Science and Pollution Research International|June 26, 2019
Distribution, source, and environmental risk assessment of phthalate esters (PAEs) in water, suspended particulate matter, and sediment of a typical Yangtze River Delta City, ChinaHui Chen, Wei Mao, Yiqiu Shen, et al.
Journal of Digital Imaging|November 3, 2021
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening MammogramsNan Wu, Zhe Huang, Yiqiu Shen, et al.
Medical Image Analysis|December 31, 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationYiqiu Shen, Nan Wu, Jason Phang, et al.
Pageof 3