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Pingkun Yan
Jochen Kruecker

Showing results (81-90 of 113) with videos related to

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Radiation Oncology (London, England)|September 20, 2007
Simultaneous integrated boost of biopsy proven, MRI defined dominant intra-prostatic lesions to 95 Gray with IMRT: early results of a phase I NCI studyAnurag K Singh, Peter Guion, Nancy Sears-Crouse, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacksWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
BJU International|September 15, 2012
Age-related changes in prostate zonal volumes as measured by high-resolution magnetic resonance imaging (MRI): a cross-sectional study in over 500 patientsBaris Turkbey, Robert Huang, Srinivas Vourganti, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental resultsWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
Nature Communications|February 11, 2025
Medical multimodal multitask foundation model for lung cancer screeningChuang Niu, Qing Lyu, Christopher D Carothers, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 1, 2011
Documenting the location of systematic transrectal ultrasound-guided prostate biopsies: correlation with multi-parametric MRIBaris Turkbey, Sheng Xu, Jochen Kruecker, et al.
Medical Image Analysis|September 20, 2022
Cross-modal attention for multi-modal image registrationXinrui Song, Hanqing Chao, Xuanang Xu, et al.
International Journal of Computer Assisted Radiology and Surgery|January 23, 2021
Association of AI quantified COVID-19 chest CT and patient outcomeXi Fang, Uwe Kruger, Fatemeh Homayounieh, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual LossQingsong Yang, Pingkun Yan, Yanbo Zhang, et al.
Nature Communications|May 21, 2021
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomographyHanqing Chao, Hongming Shan, Fatemeh Homayounieh, et al.
Pageof 12

Showing results (81-90 of 113) with videos related to

Sort By:
Pageof 12
Radiation Oncology (London, England)|September 20, 2007
Simultaneous integrated boost of biopsy proven, MRI defined dominant intra-prostatic lesions to 95 Gray with IMRT: early results of a phase I NCI studyAnurag K Singh, Peter Guion, Nancy Sears-Crouse, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacksWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
BJU International|September 15, 2012
Age-related changes in prostate zonal volumes as measured by high-resolution magnetic resonance imaging (MRI): a cross-sectional study in over 500 patientsBaris Turkbey, Robert Huang, Srinivas Vourganti, et al.
Patterns (New York, N.Y.)|May 24, 2022
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental resultsWeiwen Wu, Dianlin Hu, Wenxiang Cong, et al.
Nature Communications|February 11, 2025
Medical multimodal multitask foundation model for lung cancer screeningChuang Niu, Qing Lyu, Christopher D Carothers, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 1, 2011
Documenting the location of systematic transrectal ultrasound-guided prostate biopsies: correlation with multi-parametric MRIBaris Turkbey, Sheng Xu, Jochen Kruecker, et al.
Medical Image Analysis|September 20, 2022
Cross-modal attention for multi-modal image registrationXinrui Song, Hanqing Chao, Xuanang Xu, et al.
International Journal of Computer Assisted Radiology and Surgery|January 23, 2021
Association of AI quantified COVID-19 chest CT and patient outcomeXi Fang, Uwe Kruger, Fatemeh Homayounieh, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual LossQingsong Yang, Pingkun Yan, Yanbo Zhang, et al.
Nature Communications|May 21, 2021
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomographyHanqing Chao, Hongming Shan, Fatemeh Homayounieh, et al.
Pageof 12