Veeru Kasivisvanathan

According to our database, Veeru Kasivisvanathan authored at least 11 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Maximizing T2-Only Prostate Cancer Localization from Expected Diffusion Weighted Imaging.

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

CoRR, April, 2026

ProFound: A moderate-sized vision foundation model for multi-task prostate imaging.

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

CoRR, March, 2026

Understanding the Transfer Limits of Vision Foundation Models.

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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol).

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

CoRR, August, 2025

Reasoning in machine vision: learning to think fast and slow.

Shaheer U. Saeed, Yipei Wang, Veeru Kasivisvanathan, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu, Daniel C. Alexander

CoRR, June, 2025

A derived PROMIS data set.

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

Dataset, June, 2025

Promptable Cancer Segmentation Using Minimal Expert-Curated Data.

Lynn Karam, Yipei Wang, Veeru Kasivisvanathan, Mirabela Rusu, Yipeng Hu, Shaheer U. Saeed

Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

Impact of Clinical Image Quality on Efficient Foundation Model Finetuning.

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

Proceedings of the Efficient Medical Artificial Intelligence, 2025

T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging.

Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer U. Saeed, Yipeng Hu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives.

Xiangcen Wu, Yipei Wang, Qianye Yang, Natasha Thorley, Shonit Punwani, Veeru Kasivisvanathan, Ester Bonmati, Yipeng Hu

CoRR, 2024

2017

Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy.

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

IEEE Trans. Biomed. Eng., 2017