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Alan L Yuille

Showing results (31-40 of 38) with videos related to

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IEEE Transactions on Medical Imaging|January 28, 2026
Text-Driven Tumor SynthesisXinran Li, Yi Shuai, Chen Liu, et al.
AJR. American Journal of Roentgenology|September 1, 2021
CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal AdenocarcinomaSeyoun Park, Jonathan G Sham, Satomi Kawamoto, et al.
AJR. American Journal of Roentgenology|April 24, 2019
Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic TissueLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Journal of Exposure Science & Environmental Epidemiology|October 14, 2025
Development and evaluation of a computer vision algorithm for quantification of children's microactivitiesSara N Lupolt, Guofeng Zhang, Jiahao Wang, et al.
Journal of the American College of Radiology : JACR|September 8, 2019
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial ExperienceLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
The Lancet. Oncology|November 23, 2025
Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational studyNatalia Alves, Megan Schuurmans, Dawid Rutkowski, et al.
Nature Medicine|November 21, 2023
Large-scale pancreatic cancer detection via non-contrast CT and deep learningKai Cao, Yingda Xia, Jiawen Yao, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
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Showing results (31-40 of 38) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 38 results.
IEEE Transactions on Medical Imaging|January 28, 2026
Text-Driven Tumor SynthesisXinran Li, Yi Shuai, Chen Liu, et al.
AJR. American Journal of Roentgenology|September 1, 2021
CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal AdenocarcinomaSeyoun Park, Jonathan G Sham, Satomi Kawamoto, et al.
AJR. American Journal of Roentgenology|April 24, 2019
Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic TissueLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Journal of Exposure Science & Environmental Epidemiology|October 14, 2025
Development and evaluation of a computer vision algorithm for quantification of children's microactivitiesSara N Lupolt, Guofeng Zhang, Jiahao Wang, et al.
Journal of the American College of Radiology : JACR|September 8, 2019
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial ExperienceLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
The Lancet. Oncology|November 23, 2025
Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational studyNatalia Alves, Megan Schuurmans, Dawid Rutkowski, et al.
Nature Medicine|November 21, 2023
Large-scale pancreatic cancer detection via non-contrast CT and deep learningKai Cao, Yingda Xia, Jiawen Yao, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
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