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Wiley Interdisciplinary Reviews. Nanomedicine and Nanobiotechnology
|
January 6, 2010
Nanoparticles in sentinel lymph node mapping
Gregory Ravizzini, Baris Turkbey, Tristan Barrett, et al.
BJU International
|
December 1, 2018
Using prognosis to guide early detection and treatment selection in non-metastatic prostate cancer
Vincent J Gnanapragasam, Tristan Barrett, Charlie Massie, et al.
European Radiology
|
April 24, 2024
Biparametric MRI in prostate cancer during active surveillance: is it safe?
Iztok Caglic, Nikita Sushentsev, Tom Syer, et al.
The British Journal of Radiology
|
August 6, 2021
Optimal biopsy approach for detection of clinically significant prostate cancer
Simona Ippoliti, Peter Fletcher, Luca Orecchia, et al.
Cancers
|
November 27, 2025
Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial Intelligence
Olga Vershinina, Nikita Sushentsev, Alexey Zaikin, et al.
Communications Engineering
|
November 29, 2025
Object detection as an aid for locating the prostate in surface-based abdominal ultrasound images
Rory D Bennett, Tristan Barrett, Vincent J Gnanapragasam, et al.
Radiology
|
April 5, 2012
Value of the hemorrhage exclusion sign on T1-weighted prostate MR images for the detection of prostate cancer
Tristan Barrett, Hebert Alberto Vargas, Oguz Akin, et al.
Plos One
|
January 29, 2021
Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study
Nikita Sushentsev, Joshua D Kaggie, Rhys A Slough, et al.
European Journal of Radiology
|
June 7, 2017
Evaluating the effect of rectal distension on prostate multiparametric MRI image quality
Iztok Caglic, Nienke L Hansen, Rhys A Slough, et al.
Scientific Reports
|
June 22, 2021
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance
Nikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
Page
of 19
Search research articles
Search
Showing results (41-50 of 185) with videos related to
Sort By:
Page
of 19
Wiley Interdisciplinary Reviews. Nanomedicine and Nanobiotechnology
|
January 6, 2010
Nanoparticles in sentinel lymph node mapping
Gregory Ravizzini, Baris Turkbey, Tristan Barrett, et al.
BJU International
|
December 1, 2018
Using prognosis to guide early detection and treatment selection in non-metastatic prostate cancer
Vincent J Gnanapragasam, Tristan Barrett, Charlie Massie, et al.
European Radiology
|
April 24, 2024
Biparametric MRI in prostate cancer during active surveillance: is it safe?
Iztok Caglic, Nikita Sushentsev, Tom Syer, et al.
The British Journal of Radiology
|
August 6, 2021
Optimal biopsy approach for detection of clinically significant prostate cancer
Simona Ippoliti, Peter Fletcher, Luca Orecchia, et al.
Cancers
|
November 27, 2025
Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial Intelligence
Olga Vershinina, Nikita Sushentsev, Alexey Zaikin, et al.
Communications Engineering
|
November 29, 2025
Object detection as an aid for locating the prostate in surface-based abdominal ultrasound images
Rory D Bennett, Tristan Barrett, Vincent J Gnanapragasam, et al.
Radiology
|
April 5, 2012
Value of the hemorrhage exclusion sign on T1-weighted prostate MR images for the detection of prostate cancer
Tristan Barrett, Hebert Alberto Vargas, Oguz Akin, et al.
Plos One
|
January 29, 2021
Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study
Nikita Sushentsev, Joshua D Kaggie, Rhys A Slough, et al.
European Journal of Radiology
|
June 7, 2017
Evaluating the effect of rectal distension on prostate multiparametric MRI image quality
Iztok Caglic, Nienke L Hansen, Rhys A Slough, et al.
Scientific Reports
|
June 22, 2021
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance
Nikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
Page
of 19