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IEEE Open Journal of Engineering in Medicine and Biology
|
December 19, 2024
Surface-Based Ultrasound Scans for the Screening of Prostate Cancer
Rory Bennett, Tristan Barrett, Vincent J Gnanapragasam, et al.
The British Journal of Radiology
|
January 24, 2024
Risk stratification of prostate cancer with MRI and prostate-specific antigen density-based tool for personalized decision making
Ishwariya Rajendran, Kang-Lung Lee, Liness Thavaraja, et al.
BJU International
|
February 23, 2026
The influence of age and the presence of prostate cancer on prostate volume, PSA and PSA density
Jill Rusbridge, Iztok Caglic, Liness Thavaraja, et al.
Radiologic Clinics of North America
|
November 16, 2023
Update on Optimization of Prostate MR Imaging Technique and Image Quality
Tristan Barrett, Kang-Lung Lee, Maarten de Rooij, et al.
Scientific Reports
|
October 7, 2017
A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
Andrew B Gill, Marcin Czarniecki, Ferdia A Gallagher, et al.
BJU International
|
June 13, 2022
How and when should radiologists report T-staging on MRI in patients with prostate cancer?
Nikita Sushentsev, Tristan Barrett, Anne Y Warren, et al.
Frontiers in Bioscience : a Journal and Virtual Library
|
May 9, 2007
The biologic basis of in vivo angiogenesis imaging
Iclal Ocak, Peter Baluk, Tristan Barrett, et al.
Radiology and Oncology
|
January 16, 2020
Three-dimensional MRI evaluation of the effect of bladder volume on prostate translocation and distortion
Ziga Snoj, Andrew B Gill, Leonardo Rundo, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes
|
August 23, 2021
T2-PROPELLER Compared to T2-FRFSE for Image Quality and Lesion Detection at Prostate MRI
Dorota Czyzewska, Nikita Sushentsev, Eryk Latoch, et al.
Cancers
|
May 13, 2026
Synolitic Graph Neural Networks for MRI-Derived Radiomic-Based Prediction of Prostate Cancer Progression on Active Surveillance
Mikhail I Krivonosov, Arseniy Trukhanov, Nikita Sushentsev, et al.
Page
of 19
Search research articles
Search
Showing results (31-40 of 185) with videos related to
Sort By:
Page
of 19
IEEE Open Journal of Engineering in Medicine and Biology
|
December 19, 2024
Surface-Based Ultrasound Scans for the Screening of Prostate Cancer
Rory Bennett, Tristan Barrett, Vincent J Gnanapragasam, et al.
The British Journal of Radiology
|
January 24, 2024
Risk stratification of prostate cancer with MRI and prostate-specific antigen density-based tool for personalized decision making
Ishwariya Rajendran, Kang-Lung Lee, Liness Thavaraja, et al.
BJU International
|
February 23, 2026
The influence of age and the presence of prostate cancer on prostate volume, PSA and PSA density
Jill Rusbridge, Iztok Caglic, Liness Thavaraja, et al.
Radiologic Clinics of North America
|
November 16, 2023
Update on Optimization of Prostate MR Imaging Technique and Image Quality
Tristan Barrett, Kang-Lung Lee, Maarten de Rooij, et al.
Scientific Reports
|
October 7, 2017
A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
Andrew B Gill, Marcin Czarniecki, Ferdia A Gallagher, et al.
BJU International
|
June 13, 2022
How and when should radiologists report T-staging on MRI in patients with prostate cancer?
Nikita Sushentsev, Tristan Barrett, Anne Y Warren, et al.
Frontiers in Bioscience : a Journal and Virtual Library
|
May 9, 2007
The biologic basis of in vivo angiogenesis imaging
Iclal Ocak, Peter Baluk, Tristan Barrett, et al.
Radiology and Oncology
|
January 16, 2020
Three-dimensional MRI evaluation of the effect of bladder volume on prostate translocation and distortion
Ziga Snoj, Andrew B Gill, Leonardo Rundo, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes
|
August 23, 2021
T2-PROPELLER Compared to T2-FRFSE for Image Quality and Lesion Detection at Prostate MRI
Dorota Czyzewska, Nikita Sushentsev, Eryk Latoch, et al.
Cancers
|
May 13, 2026
Synolitic Graph Neural Networks for MRI-Derived Radiomic-Based Prediction of Prostate Cancer Progression on Active Surveillance
Mikhail I Krivonosov, Arseniy Trukhanov, Nikita Sushentsev, et al.
Page
of 19