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You searched for: Author/Creator Rusu, Mirabela

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1. A review of artificial intelligence in prostate cancer detection on imaging. (October 2022)

2. Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging. Issue 6 (3rd May 2021)

3. Bridging the gap between prostate radiology and pathology through machine learning. Issue 8 (13th June 2022)

4. Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy. Issue 3 (21st September 2021)

7. Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer. Issue 1 (25th June 2015)

8. MP55-04 THE PREDICTIVE VALUE OF TISSUE CHANGE DURING ULTRASOUND GUIDED HIGH INTENSITY FOCUSED ULTRASOUND (USGHIFU) FOCAL THERAPY ON TREATMENT SUCCESS. (May 2022)

9. PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI. (May 2022)

10. Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings. Issue 1 (December 2017)