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2020 – today
- 2024
[c2]Sadhana S, Sriprabha Ramanarayanan, Arunima Sarkar, Keerthi Ram, NagaGayathri Matcha, Suresh Joel, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam:
DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI. ISBI 2024: 1-5- 2023
- [j3]Sriprabha Ramanarayanan
, Balamurali Murugesan, Arun Palla, Keerthi Ram, Ramesh Venkatesan, Mohanasankar Sivaprakasam:
MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction. Neurocomputing 554: 126606 (2023) - 2021
- [c1]Sudhanya Chatterjee, Suresh Emmanuel Joel, Ramesh Venkatesan, Dattesh Dayanand Shanbhag:
Acceleration by Deep-Learnt Sharing of Superfluous Information in Multi-contrast MRI. MICCAI (6) 2021: 392-401
2010 – 2019
- 2013
- [j2]Joseph Suresh Paul, Manu Prasad, Ramesh Venkatesan, Michael Braun:
Magnetic resonance scan-time reduction using echo prediction. Int. J. Imaging Syst. Technol. 23(1): 1-8 (2013)
1990 – 1999
- 1997
- [j1]Ramesh Venkatesan, E. Mark Haacke:
Role of high resolution in magnetic resonance (MR) imaging: Applications to MR angiography, intracranial T1-weighted imaging, and image interpolation. Int. J. Imaging Syst. Technol. 8(6): 529-543 (1997)
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