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Nikita Sushentsev

Showing results (1-10 of 42) with videos related to

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Clinical Imaging|January 9, 2021
The first magnetic resonance imaging-detected case of bilateral seminal vesicle duplication: An illustrative case reportNikita Sushentsev, Tristan Barrett
Oxford Medical Case Reports|July 26, 2021
Complete resolution of a giant multilocular prostatic cystadenoma following androgen deprivation therapy: an illustrative case reportNikita Sushentsev, Yvonne Rimmer, Tristan Barrett
BJU International|February 23, 2026
The influence of age and the presence of prostate cancer on prostate volume, PSA and PSA densityJill Rusbridge, Iztok Caglic, Liness Thavaraja, et al.
Radiology and Oncology|January 16, 2020
Three-dimensional MRI evaluation of the effect of bladder volume on prostate translocation and distortionZiga 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 MRIDorota 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 SurveillanceMikhail I Krivonosov, Arseniy Trukhanov, Nikita Sushentsev, 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.
Cancers|November 27, 2025
Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial IntelligenceOlga Vershinina, Nikita Sushentsev, Alexey Zaikin, 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 studyNikita Sushentsev, Joshua D Kaggie, Rhys A Slough, et al.
Scientific Reports|June 22, 2021
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillanceNikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Clinical Imaging|January 9, 2021
The first magnetic resonance imaging-detected case of bilateral seminal vesicle duplication: An illustrative case reportNikita Sushentsev, Tristan Barrett
Oxford Medical Case Reports|July 26, 2021
Complete resolution of a giant multilocular prostatic cystadenoma following androgen deprivation therapy: an illustrative case reportNikita Sushentsev, Yvonne Rimmer, Tristan Barrett
BJU International|February 23, 2026
The influence of age and the presence of prostate cancer on prostate volume, PSA and PSA densityJill Rusbridge, Iztok Caglic, Liness Thavaraja, et al.
Radiology and Oncology|January 16, 2020
Three-dimensional MRI evaluation of the effect of bladder volume on prostate translocation and distortionZiga 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 MRIDorota 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 SurveillanceMikhail I Krivonosov, Arseniy Trukhanov, Nikita Sushentsev, 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.
Cancers|November 27, 2025
Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial IntelligenceOlga Vershinina, Nikita Sushentsev, Alexey Zaikin, 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 studyNikita Sushentsev, Joshua D Kaggie, Rhys A Slough, et al.
Scientific Reports|June 22, 2021
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillanceNikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
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