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43 results on '"Sonn, Geoffrey A"'

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1. Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information

2. Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study

3. MRI-guided focused ultrasound focal therapy for patients with intermediate-risk prostate cancer: a phase 2b, multicentre study

4. MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection

5. Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration

6. The impact of computed high b-value images on the diagnostic accuracy of DWI for prostate cancer: A receiver operating characteristics analysis

7. CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

8. NCCN Guidelines Insights: Prostate Cancer Early Detection, Version 2.2016.

9. Gleason 6 Prostate Cancer: Translating Biology into Population Health

10. Magnetic Resonance Imaging-Ultrasound Fusion Biopsy for Prediction of Final Prostate Pathology

11. Initial experience with electronic tracking of specific tumor sites in men undergoing active surveillance of prostate cancer

12. Target detection: Magnetic resonance imaging-ultrasound fusion–guided prostate biopsy

13. Targeted Prostate Biopsy to Select Men for Active Surveillance: Do the Epstein Criteria Still Apply?

14. The Role of Magnetic Resonance Imaging in Delineating Clinically Significant Prostate Cancer

18. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA:an MRI-pathology correlation and deep learning framework: CorrSigNIA: an MRI-pathology correlation and deep learning framework

19. Patient Preferences for Benefit and Risk Associated With High Intensity Focused Ultrasound for the Ablation of Prostate Tissue in Men With Localized Prostate Cancer.

20. CorrSigNet:Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

23. MP31-18 ARTIFICIAL INTELLIGENCE-ASSISTED PROSTATE CANCER DETECTION ON B-MODE TRANSRECTAL ULTRASOUND IMAGES.

25. MP19-16 INCORPORATING PROSTATE MRI IMAGING CHARACTERISTICS TO IMPROVE PROSTATE CANCER DIAGNOSIS AND RISK STRATIFICATION: AN ANALYSIS AND NOMOGRAM DERIVED FROM A 9,536 PATIENT, MULTI-INSTITUTIONAL COHORT.

26. Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging.

27. Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI.

28. Prostate Magnetic Resonance Imaging and Magnetic Resonance Imaging Targeted Biopsy in Patients with a Prior Negative Biopsy: A Consensus Statement by AUA and SAR.

29. Performance of multiparametric MRI appears better when measured in patients who undergo radical prostatectomy.

30. Value of Targeted Prostate Biopsy Using Magnetic Resonance–Ultrasound Fusion in Men with Prior Negative Biopsy and Elevated Prostate-specific Antigen.

31. Targeted Biopsy in the Detection of Prostate Cancer Using an Office Based Magnetic Resonance Ultrasound Fusion Device.

32. Spirituality influences health related quality of life in men with prostate cancer.

33. Editorial Comment.

34. External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens.

35. Editorial Comment.

37. MRI-Ultrasound Fusion Prostate Biopsy in Men with Prior Negative Biopsy.

38. Utility of PSA Density in Predicting Upgraded Gleason Score in Men on Active Surveillance With Negative MRI.

39. Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesions.

40. Evaluation of post-ablation mpMRI as a predictor of residual prostate cancer after focal high intensity focused ultrasound (HIFU) ablation.

41. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

42. The stanford prostate cancer calculator: Development and external validation of online nomograms incorporating PIRADS scores to predict clinically significant prostate cancer.

43. ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

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