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Radiation Oncology (London, England)
|
November 11, 2016
Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI
Rakesh Shiradkar, Tarun K Podder, Ahmad Algohary, et al.
Journal of Personalized Medicine
|
March 29, 2023
Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images
Isaac R L Xu, Derek J Van Booven, Sankalp Goberdhan, et al.
Radiology Advances
|
October 30, 2025
XComposition: multimodal deep learning model to measure body composition using chest radiographs and clinical data
Ehsan Alipour, Samuel Gratzl, Ahmad Algohary, et al.
Cancers
|
September 23, 2022
Longitudinal Changes and Predictive Value of Multiparametric MRI Features for Prostate Cancer Patients Treated with MRI-Guided Lattice Extreme Ablative Dose (LEAD) Boost Radiotherapy
Ahmad Algohary, Mohammad Alhusseini, Adrian L Breto, et al.
Cancers
|
August 13, 2020
Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study
Ahmad Algohary, Rakesh Shiradkar, Shivani Pahwa, et al.
Physics and Imaging in Radiation Oncology
|
November 20, 2024
Integrated framework for quantitative T2-weighted MRI analysis following prostate cancer radiotherapy
Evangelia I Zacharaki, Adrian L Breto, Ahmad Algohary, et al.
International Journal of Radiation Oncology, Biology, Physics
|
October 25, 2025
Integration of Habitat Risk Score in Radiation Therapy for Prostate Cancer
Evangelia I Zacharaki, Adrian L Breto, Ahmad Algohary, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 23, 2018
Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
Ahmad Algohary, Satish Viswanath, Rakesh Shiradkar, et al.
NMR in Biomedicine
|
November 22, 2023
Uncovering prostate cancer aggressiveness signal in T2-weighted MRI through a three-reference tissues normalization technique
Ahmad Algohary, Evangelia I Zacharaki, Adrian L Breto, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
December 20, 2016
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study
Shoshana B Ginsburg, Ahmad Algohary, Shivani Pahwa, et al.
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Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Radiation Oncology (London, England)
|
November 11, 2016
Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI
Rakesh Shiradkar, Tarun K Podder, Ahmad Algohary, et al.
Journal of Personalized Medicine
|
March 29, 2023
Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images
Isaac R L Xu, Derek J Van Booven, Sankalp Goberdhan, et al.
Radiology Advances
|
October 30, 2025
XComposition: multimodal deep learning model to measure body composition using chest radiographs and clinical data
Ehsan Alipour, Samuel Gratzl, Ahmad Algohary, et al.
Cancers
|
September 23, 2022
Longitudinal Changes and Predictive Value of Multiparametric MRI Features for Prostate Cancer Patients Treated with MRI-Guided Lattice Extreme Ablative Dose (LEAD) Boost Radiotherapy
Ahmad Algohary, Mohammad Alhusseini, Adrian L Breto, et al.
Cancers
|
August 13, 2020
Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study
Ahmad Algohary, Rakesh Shiradkar, Shivani Pahwa, et al.
Physics and Imaging in Radiation Oncology
|
November 20, 2024
Integrated framework for quantitative T2-weighted MRI analysis following prostate cancer radiotherapy
Evangelia I Zacharaki, Adrian L Breto, Ahmad Algohary, et al.
International Journal of Radiation Oncology, Biology, Physics
|
October 25, 2025
Integration of Habitat Risk Score in Radiation Therapy for Prostate Cancer
Evangelia I Zacharaki, Adrian L Breto, Ahmad Algohary, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 23, 2018
Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
Ahmad Algohary, Satish Viswanath, Rakesh Shiradkar, et al.
NMR in Biomedicine
|
November 22, 2023
Uncovering prostate cancer aggressiveness signal in T2-weighted MRI through a three-reference tissues normalization technique
Ahmad Algohary, Evangelia I Zacharaki, Adrian L Breto, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
December 20, 2016
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study
Shoshana B Ginsburg, Ahmad Algohary, Shivani Pahwa, et al.
Page
of 2