| Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades’ development course and future prospect B Liu, W Chi, X Li, P Li, W Liang, H Liu, W Wang, J He Journal of cancer research and clinical oncology 146, 153-185, 2020 | 92 | 2020 |
| Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study A Saha, JS Bosma, JJ Twilt, B van Ginneken, A Bjartell, AR Padhani, ... The Lancet Oncology 25 (7), 879-887, 2024 | 55 | 2024 |
| A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images H Jahanandish, S Vesal, I Bhattacharya, CX Li, RE Fan, GA Sonn, ... Medical Imaging 2024: Ultrasonic Imaging and Tomography 12932, 168-173, 2024 | 3 | 2024 |
| Swin Transformer-based affine registration of MRI and ultrasound images of the prostate S Sang, H Jahanandish, X Li, S Vesal, I Bhattacharya, L Zhang, RE Fan, ... Medical Imaging 2024: Ultrasonic Imaging and Tomography 12932, 39-44, 2024 | 3 | 2024 |
| ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases CX Li, I Bhattacharya, S Vesal, P Ghanouni, H Jahannadish, RE Fan, ... Medical Image Analysis, 103486, 2025 | 1 | 2025 |
| ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies M Rusu, H Jahanandish, S Vesal, CX Li, I Bhattacharya, R Venkataraman, ... European Urology Oncology, 2025 | 1 | 2025 |
| Precise prostate contours: setting the bar and meticulously evaluating AI performance Y Song, A Dornisch, RT Dess, DJA Margolis, EP Weinberg, T Barrett, ... medRxiv, 2024.10. 21.24315771, 2024 | 1 | 2024 |
| ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging S Vesal, I Bhattacharya, H Jahanandish, X Li, Z Kornberg, SR Zhou, ... arXiv preprint arXiv:2312.05334, 2023 | 1 | 2023 |
| Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information CX Li, I Bhattacharya, S Vesal, S Saunders, SJC Soerensen, RE Fan, ... International Workshop on Machine Learning in Medical Imaging, 341-350, 2023 | 1 | 2023 |
| The Prostate Imaging: Cancer AI (PI-CAI) 2022 Grand Challenge (PIMed Team) X Li, S Vesal, S Saunders, S John, C Soerensen, H Jahanandish, ... Department of Radiology, Stanford University, Stanford CA 94305, USA …, 0 | 1 | |
| ArtHiFy: artificial histopathology-style features for improving MRI-based prostate cancer detection I Bhattacharya, W Shao, X Li, SJC Soerensen, RE Fan, P Ghanouni, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 442-448, 2024 | | 2024 |
| PD22-03 IMPROVING PROSTATE CANCER DETECTION ON MRI WITH DEEP LEARNING, CLINICAL VARIABLES, AND RADIOMICS S Saunders, X Li, S Vesal, I Bhattacharya, SJC Soerensen, RE Fan, ... Journal of Urology 209 (Supplement 4), e665, 2023 | | 2023 |
| MP09-01 DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER ON MRI: A COMPARISON OF AN ARTIFICIAL INTELLIGENCE MODEL VERSUS RADIOLOGISTS SJC Soerensen, RE Fan, I Bhattacharya, DS Lim, S Ahmadi, X Li, S Vesal, ... Journal of Urology 209 (Supplement 4), e103, 2023 | | 2023 |
| Patients initially diagnosed with MR-visible Gleason 6 prostate cancer: can AI predict upgrade to clinically significant cancer at follow-up? S Raichandani, A Besser, CX Li, I Bhattacharya, M Rusu, P Ghanouni | | |
Mirabela RusuAssistant Professor of Radiology at Stanford Universityایمیل تأیید شده در stanford.edu