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Mirabela Rusu

Showing results (31-40 of 66) with videos related to

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Scientific Reports|November 22, 2017
Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary FindingsSoumya Ghose, Rakesh Shiradkar, Mirabela Rusu, et al.
Medical Physics|October 24, 2024
Aggressiveness classification of clear cell renal cell carcinoma using registration-independent radiology-pathology correlation learningIndrani Bhattacharya, Karin Stacke, Emily Chan, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|June 2, 2026
A Foundation Model Based CT Biomarker for Non-Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non-Small Cell Lung CancerYanglan Xu, Shuchang Zhou, Qin Peng, et al.
Medical Image Analysis|September 23, 2022
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center studySulaiman Vesal, Iani Gayo, Indrani Bhattacharya, et al.
European Urology Open Science|August 7, 2023
Prediction and Mapping of Intraprostatic Tumor Extent with Artificial IntelligenceAlan Priester, Richard E Fan, Joshua Shubert, et al.
Cancers|June 24, 2022
Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep LearningŞtefania L Moroianu, Indrani Bhattacharya, Arun Seetharaman, et al.
Neurospine|May 20, 2024
Using Machine Learning Models to Identify Factors Associated With 30-Day Readmissions After Posterior Cervical Fusions: A Longitudinal Cohort StudyAneysis D Gonzalez-Suarez, Paymon G Rezaii, Daniel Herrick, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 26, 2015
Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancerAsha Singanamalli, Mirabela Rusu, Rachel E Sparks, et al.
Journal of Imaging|March 27, 2026
Current Trends and Future Prospects of Radiomics and Machine Learning (ML) Models in Spinal Tumors-A Narrative ReviewVivek Sanker, Suhrud Panchawgh, Anmol Kaur, et al.
NPJ Digital Medicine|December 22, 2025
Multi-step retrieval and reasoning improves radiology question answering with large language modelsSebastian Wind, Jeta Sopa, Daniel Truhn, et al.
Pageof 7

Showing results (31-40 of 66) with videos related to

Sort By:
Pageof 7
Scientific Reports|November 22, 2017
Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary FindingsSoumya Ghose, Rakesh Shiradkar, Mirabela Rusu, et al.
Medical Physics|October 24, 2024
Aggressiveness classification of clear cell renal cell carcinoma using registration-independent radiology-pathology correlation learningIndrani Bhattacharya, Karin Stacke, Emily Chan, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|June 2, 2026
A Foundation Model Based CT Biomarker for Non-Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non-Small Cell Lung CancerYanglan Xu, Shuchang Zhou, Qin Peng, et al.
Medical Image Analysis|September 23, 2022
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center studySulaiman Vesal, Iani Gayo, Indrani Bhattacharya, et al.
European Urology Open Science|August 7, 2023
Prediction and Mapping of Intraprostatic Tumor Extent with Artificial IntelligenceAlan Priester, Richard E Fan, Joshua Shubert, et al.
Cancers|June 24, 2022
Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep LearningŞtefania L Moroianu, Indrani Bhattacharya, Arun Seetharaman, et al.
Neurospine|May 20, 2024
Using Machine Learning Models to Identify Factors Associated With 30-Day Readmissions After Posterior Cervical Fusions: A Longitudinal Cohort StudyAneysis D Gonzalez-Suarez, Paymon G Rezaii, Daniel Herrick, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 26, 2015
Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancerAsha Singanamalli, Mirabela Rusu, Rachel E Sparks, et al.
Journal of Imaging|March 27, 2026
Current Trends and Future Prospects of Radiomics and Machine Learning (ML) Models in Spinal Tumors-A Narrative ReviewVivek Sanker, Suhrud Panchawgh, Anmol Kaur, et al.
NPJ Digital Medicine|December 22, 2025
Multi-step retrieval and reasoning improves radiology question answering with large language modelsSebastian Wind, Jeta Sopa, Daniel Truhn, et al.
Pageof 7