Real-Time Liver Motion Compensation for MRgFUS. - James C. Ross; Rekha Tranquebar; Dattesh Shanbhag (MICCAI (2), 2008)

Detection of abrupt motion in DCE-MRI. - Kumar Rajamani 001; Dattesh D. Shanbhag; Rakesh Mullick; Sohan Ranjan; Uday Patil; Sandeep N. Gupta (Image Processing, 2012)

An SVM Based Approach for Cardiac View Planning. - Ramasubramanian Sundararajan; Hima Patel; Dattesh Shanbhag; Vivek Vaidya 001 (CoRR, 2014)

Improved noninvasive prostate cancer assessment using multiparametric magnetic resonance imaging. - Xia Li; Asha Singanamalli; Dattesh Shanbhag; Andreas M. Hötker; Omer Aras; Oguz Akin; Roshni Bhagalia (ISBI, 2016)

Acceleration by Deep-Learnt Sharing of Superfluous Information in Multi-contrast MRI. - Sudhanya Chatterjee; Suresh Emmanuel Joel; Ramesh Venkatesan; Dattesh Dayanand Shanbhag (MICCAI (6), 2021)

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. - Sandeep Kaushik; Mikael Bylund; Cristina Cozzini; Dattesh Shanbhag; Steven F. Petit; Jonathan J. Wyatt; Marion I. Menzel; Carolin M. Pirkl; Bhairav Mehta; Vikas Chauhan; Kesavadas Chandrasekharan; Joakim Jonsson; et al. (CoRR, 2022)

One-shot Localization and Segmentation of Medical Images with Foundation Models. - Deepa Anand; Gurunath Reddy M; Vanika Singhal; Dattesh D. Shanbhag; K. S. Shriram; Uday Patil; Chitresh Bhushan; Kavitha Manickam; Dawei Gui; Rakesh Mullick; Avinash Gopal; Parminder Bhatia; et al. (CoRR, 2023)

Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images. - Mansi Kakkar; Dattesh Shanbhag; Chandan Aladahalli; Gurunath Reddy M (EMBC, 2024)

LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging. - Hemant Kumar Aggarwal; Sudhanya Chatterjee; Dattesh Shanbhag; Uday Patil; K. V. S. Hari (MLMI@MICCAI (1), 2024)

Data Adaptive Few-shot Multi Label Segmentation with Foundation Model. - Gurunath Reddy M; Dattesh Shanbhag; Deepa Anand (CoRR, 2024)