Saiprasad Ravishankar

Saiprasad Ravishankar

Michigan State University

H-index: 28

North America-United States

About Saiprasad Ravishankar

Saiprasad Ravishankar, With an exceptional h-index of 28 and a recent h-index of 23 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Signal and image processing, Machine learning, Computational imaging, Compressed sensing, Big data.

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

Learning Sparsity-Promoting Regularizers using Bilevel Optimization

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction

Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data

Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering

Diffusion-based adversarial purification for robust deep mri reconstruction

Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning

Saiprasad Ravishankar Information

University

Position

___

Citations(all)

4216

Citations(since 2020)

2358

Cited By

2965

hIndex(all)

28

hIndex(since 2020)

23

i10Index(all)

44

i10Index(since 2020)

36

Email

University Profile Page

Michigan State University

Google Scholar

View Google Scholar Profile

Saiprasad Ravishankar Skills & Research Interests

Signal and image processing

Machine learning

Computational imaging

Compressed sensing

Big data

Top articles of Saiprasad Ravishankar

Title

Journal

Author(s)

Publication Date

Learning Sparsity-Promoting Regularizers using Bilevel Optimization

SIAM Journal on Imaging Sciences

Avrajit Ghosh

Michael McCann

Madeline Mitchell

Saiprasad Ravishankar

2024/3/31

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction

arXiv preprint arXiv:2402.04097

Shijun Liang

Evan Bell

Qing Qu

Rongrong Wang

Saiprasad Ravishankar

2024/2/6

Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data

arXiv preprint arXiv:2206.00775

Shijun Liang

Anish Lahiri

Saiprasad Ravishankar

2022/6/1

Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering

Siddhant Gautam

Angqi Li

Saiprasad Ravishankar

2024/4/14

Diffusion-based adversarial purification for robust deep mri reconstruction

Ismail Alkhouri

Shijun Liang

Rongrong Wang

Qing Qu

Saiprasad Ravishankar

2024/4/14

Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification

Ismail Alkhouri

Shijun Liang

Rongrong Wang

Qing Qu

Saiprasad Ravishankar

2024/1

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction

Chong Wang

Rongkai Zhang

Gabriel Maliakal

Saiprasad Ravishankar

Bihan Wen

2023/4/18

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning

arXiv preprint arXiv:2311.12071

Ling Chen

Zhishen Huang

Yong Long

Saiprasad Ravishankar

2023/11/19

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]

IEEE Signal Processing Magazine

Bihan Wen

Saiprasad Ravishankar

Zhizhen Zhao

Raja Giryes

Jong Chul Ye

2023/2/27

Multi‐layer clustering‐based residual sparsifying transform for low‐dose CT image reconstruction

Medical Physics

Ling Chen

Xikai Yang

Zhishen Huang

Yong Long

Saiprasad Ravishankar

2023/10

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures

arXiv preprint arXiv:2312.09181

Huijie Zhang

Yifu Lu

Ismail Alkhouri

Saiprasad Ravishankar

Dogyoon Song

...

2023/12/14

Sparse-view cone beam ct reconstruction using data-consistent supervised and adversarial learning from scarce training data

IEEE Transactions on Computational Imaging

Anish Lahiri

Gabriel Maliakal

Marc L Klasky

Jeffrey A Fessler

Saiprasad Ravishankar

2023/1/6

Scatter Removal in Dynamic X-Ray Tomography using Learned Robust Features

Siddhant Gautam

Marc L Klasky

Saiprasad Ravishankar

2023/8/14

Robust MRI Reconstruction by Smoothed Unrolling (SMUG)

arXiv preprint arXiv:2312.07784

Shijun Liang

Van Hoang Minh Nguyen

Jinghan Jia

Ismail Alkhouri

Sijia Liu

...

2023/12/12

Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling

IEEE Signal Processing Magazine

Zhiyuan Zha

Bihan Wen

Xin Yuan

Saiprasad Ravishankar

Jiantao Zhou

...

2023/1/2

Robust Self-Guided Deep Image Prior

Evan Bell

Shijun Liang

Qing Qu

Saiprasad Ravishankar

2023/6/4

Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements

Xiang Li

Saiprasad Ravishankar

Qing Qu

2023/12/10

SMUG: Towards robust MRI reconstruction by smoothed unrolling

Hui Li

Jinghan Jia

Shijun Liang

Yuguang Yao

Saiprasad Ravishankar

...

2023/6/4

LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data

Shijun Liang

Ashwin Sreevatsa

Anish Lahiri

Saiprasad Ravishankar

2022/3/28

Comparing one-step and two-step scatter correction and density reconstruction in x-ray CT

Alexander N Sietsema

Michael T McCann

Marc L Klasky

Saiprasad Ravishankar

2022/10/17

See List of Professors in Saiprasad Ravishankar University(Michigan State University)