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ORCIDVeeru Kasivisvanathan
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2020 – today
- 2026
[c4]Shiqi Huang, Yipei Wang, Natasha Thorley
, Alexander Ng, Shaheer U. Saeed, Mark Emberton, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Daniel C. Alexander, Yipeng Hu:
Understanding the Transfer Limits of Vision Foundation Models. ISBI 2026: 1-5- [i12]Shiqi Huang, Yipei Wang, Natasha Thorley, Alexander Ng, Shaheer U. Saeed, Mark Emberton, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Daniel C. Alexander, Yipeng Hu:
Understanding the Transfer Limits of Vision Foundation Models. CoRR abs/2601.15888 (2026) - [i11]Yipei Wang, Yinsong Xu, Weixi Yi, Shaheer Ullah Saeed, Natasha Thorley, Alexander Ng, Yukun Zhou, Wen Yan, Dean C. Barratt, Shonit Punwani, Veeru Kasivisvanathan, Mark Emberton, Daniel C. Alexander, Yipeng Hu:
ProFound: A moderate-sized vision foundation model for multi-task prostate imaging. CoRR abs/2603.03961 (2026) - [i10]Weixi Yi, Yipei Wang, Wen Yan, Hanyuan Zhang, Natasha Thorley, Alexander Ng, Shonit Punwani, Fernando J. Bianco, Mark Emberton, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer U. Saeed, Yipeng Hu:
Maximizing T2-Only Prostate Cancer Localization from Expected Diffusion Weighted Imaging. CoRR abs/2604.00985 (2026) - [i9]Yucheng Tang, Wen Yan, Alexander Ng, Natasha Thorley, Pawel Rajwa, Yipei Wang, Aqua Asif, Clare Allen, Louise Dickinson, Francesco Giganti, David Atkinson, Shonit Punwani, Daniel C. Alexander, Shaheer Ullah Saeed, Veeru Kasivisvanathan, Yipeng Hu:
Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction. CoRR abs/2606.18869 (2026) - [i8]Yucheng Tang, Alexander Ng, Wen Yan, Natasha Thorley, Pawel Rajwa, Yipei Wang, Aqua Asif, Clare Allen, Louise Dickinson, Francesco Giganti, Shonit Punwani, Daniel C. Alexander, Veeru Kasivisvanathan, Yipeng Hu:
Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-shot Biparametric MRI Quality Assessment via Distortion-trained Prototypical Networks. CoRR abs/2606.18872 (2026) - [i7]Yipei Wang, Shiqi Huang, Wen Yan, Weixi Yi, Dean C. Barratt, Mark Emberton, Daniel C. Alexander, Veeru Kasivisvanathan, Yipeng Hu:
Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading. CoRR abs/2607.14720 (2026) - 2025
- [c3]Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer U. Saeed, Yipeng Hu:
T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging. ISBI 2025: 1-5 - [c2]Yucheng Tang, Pawel Rajwa, Alexander Ng, Yipei Wang, Wen Yan, Natasha Thorley, Aqua Asif, Clare Allen, Louise Dickinson, Francesco Giganti, Shonit Punwani, Daniel C. Alexander, Veeru Kasivisvanathan, Yipeng Hu:
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning. EMA4MICCAI 2025: 194-204 - [c1]Lynn Karam, Yipei Wang, Veeru Kasivisvanathan, Mirabela Rusu, Yipeng Hu, Shaheer U. Saeed:
Promptable Cancer Segmentation Using Minimal Expert-Curated Data. MIUA (3) 2025: 44-58 - [d1]Yipei Wang, Iani J. M. B. Gayo, Natasha Thorley, Alexander Ng, Wen Yan, Dean C. Barratt, Vasilis Stavrinides, Mark Emberton, Veeru Kasivisvanathan, Shonit Punwani, Yipeng Hu:
A derived PROMIS data set. Zenodo, 2025
- [i6]Lynn Karam, Yipei Wang, Veeru Kasivisvanathan, Mirabela Rusu, Yipeng Hu, Shaheer U. Saeed:
Promptable cancer segmentation using minimal expert-curated data. CoRR abs/2505.17915 (2025) - [i5]Shaheer U. Saeed, Yipei Wang, Veeru Kasivisvanathan, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu, Daniel C. Alexander:
Reasoning in machine vision: learning to think fast and slow. CoRR abs/2506.22075 (2025) - [i4]Anindo Saha, Joeran S. Bosma, Jasper J. Twilt, Alexander B. C. D. Ng, Aqua Asif, Kirti Magudia, Peder Larson, Qinglin Xie, Xiaodong Zhang, Chi Pham Minh, Samuel N. Gitau, Ivo G. Schoots, Martijn F. Boomsma, Renato Cuocolo, Nikolaos Papanikolaou, Daniele Regge, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Baris Turkbey, Nancy A. Obuchowski, Jurgen J. Fütterer, Anwar R. Padhani, Hashim Uddin Ahmed, Tobias Nordström, Martin Eklund, Veeru Kasivisvanathan, Maarten de Rooij, Henkjan Huisman:
Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol). CoRR abs/2508.03762 (2025) - [i3]Yucheng Tang, Pawel Rajwa, Alexander Ng, Yipei Wang, Wen Yan, Natasha Thorley, Aqua Asif, Clare Allen, Louise Dickinson, Francesco Giganti, Shonit Punwani, Daniel C. Alexander, Veeru Kasivisvanathan, Yipeng Hu:
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning. CoRR abs/2508.11864 (2025) - 2024
- [i2]Xiangcen Wu, Yipei Wang, Qianye Yang, Natasha Thorley, Shonit Punwani, Veeru Kasivisvanathan, Ester Bonmati, Yipeng Hu:
AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives. CoRR abs/2410.23084 (2024) - [i1]Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer Ullah Saeed, Yipeng Hu:
T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging. CoRR abs/2411.07416 (2024)
2010 – 2019
- 2017
- [j1]Yipeng Hu, Veeru Kasivisvanathan, Lucy A. M. Simmons, Matthew J. Clarkson, Stephen A. Thompson, Taimur T. Shah, Hashim Uddin Ahmed, Shonit Punwani, David J. Hawkes, Mark Emberton, Caroline M. Moore, Dean C. Barratt:
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy. IEEE Trans. Biomed. Eng. 64(4): 946-958 (2017)
Coauthor Index
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last updated on 2026-08-09 23:33 CEST by the dblp team
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