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20202026
most citedMultimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study

3 citations · 6 across the 8 of their papers we have counts for

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eess.IV20251 cited

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…

eess.IV20253 cited

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…

eess.IV2023

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.…

eess.IV20221 cited

Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

Karin Stacke, Indrani Bhattacharya, Justin R. Tse +3

Renal cell carcinoma (RCC) is a common cancer that varies in clinical behavior. Indolent RCC is often low-grade without necrosis and can be monitored without treatment. Aggressive…

eess.IV20211 cited

Weakly Supervised Registration of Prostate MRI and Histopathology Images

Wei Shao, Indrani Bhattacharya, Simon J. C. Soerensen +7

The interpretation of prostate MRI suffers from low agreement across radiologists due to the subtle differences between cancer and normal tissue. Image registration addresses this…

eess.IV2020

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

Indrani Bhattacharya, Arun Seetharaman, Wei Shao +10

Magnetic Resonance Imaging (MRI) is widely used for screening and staging prostate cancer. However, many prostate cancers have subtle features which are not easily identifiable on…