3 citations · 6 across the 4 of their papers we have counts for
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Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish +14
Accurate prostate cancer diagnosis remains challenging. Even when using MRI, radiologists exhibit low specificity and significant inter-observer variability, leading to potential d…
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
Shengtian Sang, Hassan Jahanandish, Cynthia Xinran Li +8
Prostate cancer is a major cause of cancer-related deaths in men, where early detection greatly improves survival rates. Although MRI-TRUS fusion biopsy offers superior accuracy by…
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
Hassan Jahanandish, Shengtian Sang, Cynthia Xinran Li +6
Pre-biopsy magnetic resonance imaging (MRI) is increasingly used to target suspicious prostate lesions. This has led to artificial intelligence (AI) applications improving MRI-base…
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging
Sulaiman Vesal, Indrani Bhattacharya, Hassan Jahanandish +8
Interpreting traditional B-mode ultrasound images can be challenging due to image artifacts (e.g., shadowing, speckle), leading to low sensitivity and limited diagnostic accuracy.…