| Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: preliminary findings from a multi‐institutional study SB Ginsburg, A Algohary, S Pahwa, V Gulani, L Ponsky, HJ Aronen, ... Journal of Magnetic Resonance Imaging 46 (1), 184-193, 2017 | 150 | 2017 |
| Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings A Algohary, S Viswanath, R Shiradkar, S Ghose, S Pahwa, D Moses, ... Journal of Magnetic Resonance Imaging 48 (3), 818-828, 2018 | 131 | 2018 |
| Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI R Shiradkar, TK Podder, A Algohary, S Viswanath, RJ Ellis, ... Radiation oncology 11, 1-14, 2016 | 100 | 2016 |
| Combination of peri-tumoral and intra-tumoral radiomic features on bi-parametric MRI accurately stratifies prostate cancer risk: a multi-site study A Algohary, R Shiradkar, S Pahwa, A Purysko, S Verma, D Moses, ... Cancers 12 (8), 2200, 2020 | 78 | 2020 |
| A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI L Li, R Shiradkar, P Leo, A Algohary, P Fu, SH Tirumani, A Mahran, ... EBioMedicine 63, 2021 | 54 | 2021 |
| Generative adversarial networks can create high quality artificial prostate cancer magnetic resonance images IRL Xu, DJ Van Booven, S Goberdhan, A Breto, J Porto, M Alhusseini, ... Journal of personalized medicine 13 (3), 547, 2023 | 14 | 2023 |
| Detection of cardiac infarction in MRI C-SENC images AO Algohary, AM El-Bialy, AH Kandil, NF Osman Universal journal of Computer science engineering technology 1, 36-40, 2010 | 9 | 2010 |
| Improved segmentation technique to detect cardiac infarction in MRI C-SENC images AO Algohary, AM El-Bialy, AH Kandil, NF Osman 2010 5th Cairo International Biomedical Engineering Conference, 21-24, 2010 | 8 | 2010 |
| Longitudinal changes and predictive value of multiparametric mri features for prostate cancer patients treated with MRI-guided lattice extreme ablative dose (LEAD) boost … A Algohary, M Alhusseini, AL Breto, D Kwon, IR Xu, SM Gaston, P Castillo, ... Cancers 14 (18), 4475, 2022 | 7 | 2022 |
| Predicting prostate cancer risk of progression with multiparametric magnetic resonance imaging using machine learning and peritumoral radiomics A Madabhushi, A Algohary, R Shiradkar US Patent 11,011,265, 2021 | 6 | 2021 |
| A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI. EBioMedicine … L Li, R Shiradkar, P Leo, A Algohary, P Fu, SH Tirumani, A Mahran, ... DOI: https://doi. org/10.1016/j. ebiom, 2020 | 6 | 2020 |
| Combination of peritumoral and intra-tumoral radiomic features on bi-parametric MRI accurately stratifies prostate cancer risk: a multi-site study. Cancers. 2020; 12 (8): 2200 A Algohary, R Shiradkar, S Pahwa, A Purysko, S Verma, D Moses, ... DOI: https://doi. org/10.3390/cancers12082200, 0 | 4 | |
| Uncovering prostate cancer aggressiveness signal in T2‐weighted MRI through a three‐reference tissues normalization technique A Algohary, EI Zacharaki, AL Breto, M Alhusseini, V Wallaengen, IR Xu, ... NMR in Biomedicine 37 (3), e5069, 2024 | 3 | 2024 |
| Clinical-Genomic Risk Group Classification of Suspicious Lesions on Prostate Multiparametric-MRI R Stoyanova, O Zavala-Romero, D Kwon, AL Breto, IR Xu, A Algohary, ... Cancers 15 (21), 5240, 2023 | 3 | 2023 |
| Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with decipher risk score L Li, R Shiradkar, A Algohary, P Leo, C Magi-Galluzzi, E Klein, A Purysko, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 996-1003, 2019 | 3 | 2019 |
| Longitudinal changes and predictive value of multiparametric MRI features for prostate cancer patients treated with MRI-guided lattice extreme ablative dose (LEAD) boost … A Algohary, M Alhusseini, AL Breto, D Kwon, IR Xu, SM Gaston, P Castillo, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 2 | 2022 |
| Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence post-prostatectomy. L Li, R Shiradkar, P Leo, A Purysko, A Algohary, EA Klein, ... Journal of Clinical Oncology 37 (15_suppl), e16561-e16561, 2019 | 2 | 2019 |
| MP60-04 QUANTITATIVE ASSESSMENT OF T2-WEIGHTED MRI TO BETTER IDENTIFY PATIENTS WITH PROSTATE CANCER IN A SCREENING POPULATION A Algohary, S Viswanath, P Prasanna, S Pahwa, V Gulani, D Moses, ... The Journal of Urology 193 (4S), e739-e739, 2015 | 2 | 2015 |
| HRS Improves Active Surveillance for Prostate Cancer by Timely Identification of Progression IM Kimbel, V Wallaengen, EI Zacharaki, AL Breto, A Algohary, S Carbohn, ... Academic Radiology, 2024 | | 2024 |
| Integrated framework for quantitative T2-weighted MRI analysis following prostate cancer radiotherapy EI Zacharaki, AL Breto, A Algohary, V Wallaengen, SM Gaston, S Punnen, ... Physics and imaging in radiation oncology 32, 100660, 2024 | | 2024 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechVerified email at emory.edu