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Medical Image Analysis
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November 16, 2021
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework
Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, et al.
European Urology Open Science
|
July 30, 2024
Inter-reader Agreement for Prostate Cancer Detection Using Micro-ultrasound: A Multi-institutional Study
Steve R Zhou, Moon Hyung Choi, Sulaiman Vesal, et al.
Medical Physics
|
May 28, 2022
Bridging the gap between prostate radiology and pathology through machine learning
Indrani Bhattacharya, David S Lim, Han Lin Aung, et al.
Medical Physics
|
March 24, 2021
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
Arun Seetharaman, Indrani Bhattacharya, Leo C Chen, et al.
Scientific Reports
|
February 2, 2017
Computational imaging reveals shape differences between normal and malignant prostates on MRI
Mirabela Rusu, Andrei S Purysko, Sadhna Verma, et al.
Biorxiv : the Preprint Server for Biology
|
June 12, 2025
Precise MRI-Histology Coregistration of Paraffin-Embedded Tissue with Blockface Imaging
Yixin Wang, William Ho, Istvan N Huszar, et al.
European Urology Oncology
|
January 29, 2025
ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies
Mirabela Rusu, Hassan Jahanandish, Sulaiman Vesal, et al.
Imaging Neuroscience (Cambridge, Mass.)
|
August 13, 2025
Precise MRI-histology coregistration of paraffin-embedded tissue with blockface imaging
Yixin Wang, William Ho, Istvan N Huszar, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
May 13, 2022
Correlation of <sup>68</sup>Ga-RM2 PET with Postsurgery Histopathology Findings in Patients with Newly Diagnosed Intermediate- or High-Risk Prostate Cancer
Heying Duan, Lucia Baratto, Richard E Fan, et al.
NPJ Digital Medicine
|
June 5, 2026
Enhancing foundation model transfer for prostate cancer detection with patch-level contrastive learning
Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, et al.
Page
of 7
Search research articles
Search
Showing results (51-60 of 66) with videos related to
Sort By:
Page
of 7
Medical Image Analysis
|
November 16, 2021
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework
Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, et al.
European Urology Open Science
|
July 30, 2024
Inter-reader Agreement for Prostate Cancer Detection Using Micro-ultrasound: A Multi-institutional Study
Steve R Zhou, Moon Hyung Choi, Sulaiman Vesal, et al.
Medical Physics
|
May 28, 2022
Bridging the gap between prostate radiology and pathology through machine learning
Indrani Bhattacharya, David S Lim, Han Lin Aung, et al.
Medical Physics
|
March 24, 2021
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
Arun Seetharaman, Indrani Bhattacharya, Leo C Chen, et al.
Scientific Reports
|
February 2, 2017
Computational imaging reveals shape differences between normal and malignant prostates on MRI
Mirabela Rusu, Andrei S Purysko, Sadhna Verma, et al.
Biorxiv : the Preprint Server for Biology
|
June 12, 2025
Precise MRI-Histology Coregistration of Paraffin-Embedded Tissue with Blockface Imaging
Yixin Wang, William Ho, Istvan N Huszar, et al.
European Urology Oncology
|
January 29, 2025
ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies
Mirabela Rusu, Hassan Jahanandish, Sulaiman Vesal, et al.
Imaging Neuroscience (Cambridge, Mass.)
|
August 13, 2025
Precise MRI-histology coregistration of paraffin-embedded tissue with blockface imaging
Yixin Wang, William Ho, Istvan N Huszar, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
May 13, 2022
Correlation of <sup>68</sup>Ga-RM2 PET with Postsurgery Histopathology Findings in Patients with Newly Diagnosed Intermediate- or High-Risk Prostate Cancer
Heying Duan, Lucia Baratto, Richard E Fan, et al.
NPJ Digital Medicine
|
June 5, 2026
Enhancing foundation model transfer for prostate cancer detection with patch-level contrastive learning
Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, et al.
Page
of 7