This repo contains PyTorch model definitions, pre-trained weights and inference/sampling code for our paper exploring Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Alam frames PHI and MRI as noninvasive tools that help refine risk before proceeding to biopsy. In this video, Ridwan I. Alam, MD, MPH, discusses how the Prostate Health Index (PHI) performs alongside ...

Prostate MRI currently lacks the accuracy to replace biopsies in active surveillance for prostate cancer. The negative predictive value of MRI remains below 90%, the general goal for safely avoiding ...

In a cohort of US veterans with prostate cancer who were on active surveillance, negative multiparametric MRI had a 75% negative predictive value for ruling out disease of grade group 2 or higher at ...

At the IURES 2025 Congress, researchers presented new findings demonstrating the feasibility and diagnostic value of adding seminal vesicle sampling to transperineal prostate biopsy (TP-Bx) procedures ...

Dr. Aytekin Oto discussed Prostate MRI 101, noting that prostate MRI has evolved significantly since its first publication in 1982, with multiparametric MRI now embraced worldwide. With regards to ...

Objective: To evaluate the diagnostic value of prostate-specific antigen (PSA) density, digital rectal examination (DRE), and family history in predicting prostate cancer among patients with low-risk ...

MRI reports and biopsy pathology reports were extracted from a cohort of 1,360,866 patients with PCa in the VA Cancer Registry System or the VA Corporate Data Warehouse, with 155,570 patients having ...

Abstract: This work presents PI-RADS-Net, a deep-learning model inspired by the PI-RADS protocol to detect clinically significant prostate cancers (csPCa) on MRI by emulating radiologists' ...

PSMA-based PET imaging in newly diagnosed, high-risk localized prostate cancer, a National Cancer Institute (NCI) Cancer Moonshot trial. This is an ASCO Meeting Abstract from the 2025 ASCO ...