Sriprabha Ramanarayanan

About Sriprabha Ramanarayanan

Sriprabha Ramanarayanan, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Medical image analysis, Machine learning, Deep neural networks, computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Registration Quality Evaluation Metric with Self-Supervised Siamese Networks

DCE-FORMER: A Transformer-based Model With Mutual Information And Frequency-based Loss Functions For Early And Late Response Prediction In Prostate DCE-MRI

Generalizing supervised deep learning mri reconstruction to multiple and unseen contrasts using meta-learning hypernetworks

SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning

SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction

HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction

MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction

Sriprabha Ramanarayanan Information

University

Position

Ph.D scholar Research Associate at HTIC

Citations(all)

56

Citations(since 2020)

53

Cited By

5

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

Sriprabha Ramanarayanan Skills & Research Interests

Medical image analysis

Machine learning

Deep neural networks

computer vision

Top articles of Sriprabha Ramanarayanan

Title

Journal

Author(s)

Publication Date

Registration Quality Evaluation Metric with Self-Supervised Siamese Networks

Tanvi Kulkarni

Sriprabha Ramanarayanan

Keerthi Ram

Mohanasankar Sivaprakasam

2024/2/13

DCE-FORMER: A Transformer-based Model With Mutual Information And Frequency-based Loss Functions For Early And Late Response Prediction In Prostate DCE-MRI

arXiv preprint arXiv:2402.02125

Sriprabha Ramanarayanan

Arunima Sarkar

Matcha Naga Gayathri

Keerthi Ram

Mohanasankar Sivaprakasam

2024/2/3

Generalizing supervised deep learning mri reconstruction to multiple and unseen contrasts using meta-learning hypernetworks

Applied Soft Computing

Sriprabha Ramanarayanan

Arun Palla

Keerthi Ram

Mohanasankar Sivaprakasam

2023/10/1

SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction

arXiv e-prints

GS Rahul

Sriprabha Ramnarayanan

Mohammad Al Fahim

2023/8

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning

Arun Palla

Sriprabha Ramanarayanan

Keerthi Ram

Mohanasankar Sivaprakasam

2023/7/24

SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction

NagaGayathri Matcha

Sriprabha Ramanarayanan

Mohammad Al Fahim

GS Rahul

Keerthi Ram

...

2023/4/12

HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction

Sriprabha Ramanarayanan

Mohammad Al Fahim

Amrit Kumar Jethi

Keerthi Ram

Mohanasankar Sivaprakasam

2023

MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction

Neurocomputing

Sriprabha Ramanarayanan

Balamurali Murugesan

Arun Palla

Keerthi Ram

Ramesh Venkatesan

...

2023/10/14

A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction

Computerized Medical Imaging and Graphics

Balamurali Murugesan

Sriprabha Ramanarayanan

Sricharan Vijayarangan

Keerthi Ram

Naranamangalam R Jagannathan

...

2021/7/1

Reference-based texture transfer for single image super-resolution of magnetic resonance images

KK Madhu Mithra

Sriprabha Ramanarayanan

Keerthi Ram

Mohanasankar Sivaprakasam

2021/4/13

Mac-reconnet: A multiple acquisition context based convolutional neural network for mr image reconstruction using dynamic weight prediction

Sriprabha Ramanarayanan

Balamurali Murugesan

Keerthi Ram

Mohanasankar Sivaprakasam

2020/9/21

MRI super-resolution using laplacian pyramid convolutional neural networks with isotropic undecimated wavelet loss

Sriprabha Ramanarayanan

Balamurali Murugesan

Ananth Kalyanasundaram

Surya Prabhakaran

Keerthi Ram

...

2020/7/20

DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR image reconstruction

Sriprabha Ramanarayanan

Balamurali Murugesan

Keerthi Ram

Mohanasankar Sivaprakasam

2020/4/3

See List of Professors in Sriprabha Ramanarayanan University(Indian Institute of Technology Madras)

Co-Authors

H-index: 35
Dr. Mohanasankar Sivaprakasam

Dr. Mohanasankar Sivaprakasam

Indian Institute of Technology Madras

H-index: 17
Keerthi Ram

Keerthi Ram

Indian Institute of Technology Madras

H-index: 9
Balamurali Murugesan

Balamurali Murugesan

Indian Institute of Technology Madras

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