Siddharth Srinivasan Iyer

About Siddharth Srinivasan Iyer

Siddharth Srinivasan Iyer, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Optimization, Inverse Problems, Signal Processing, Compressed Sensing, Computational Imaging.

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

Polynomial preconditioners for regularized linear inverse problems

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide …

DTI‐MR fingerprinting for rapid high‐resolution whole‐brain T1, T2, proton density, ADC, and fractional anisotropy mapping

Coil sketching for computationally efficient MR iterative reconstruction

Spherical Echo-Planar Time-resolved Imaging (sEPTI) for rapid 3D quantitative T2* and Susceptibility imaging

Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction

High‐resolution myelin‐water fraction and quantitative relaxation mapping using 3D ViSTa‐MR fingerprinting

Blip-Up Blip-Down Circular EPI (BUDA-cEPI) for Distortion-Free dMRI with Rapid Unrolled Deep Learning Reconstruction

Siddharth Srinivasan Iyer Information

University

Position

Graduate Student

Citations(all)

277

Citations(since 2020)

273

Cited By

39

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Siddharth Srinivasan Iyer Skills & Research Interests

Optimization

Inverse Problems

Signal Processing

Compressed Sensing

Computational Imaging

Top articles of Siddharth Srinivasan Iyer

Polynomial preconditioners for regularized linear inverse problems

SIAM Journal on Imaging Sciences

2024/3/31

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide …

The American Journal of Clinical Nutrition

2024/3/1

DTI‐MR fingerprinting for rapid high‐resolution whole‐brain T1, T2, proton density, ADC, and fractional anisotropy mapping

Magnetic resonance in medicine

2024/3

Coil sketching for computationally efficient MR iterative reconstruction

Magnetic resonance in medicine

2024/2

Spherical Echo-Planar Time-resolved Imaging (sEPTI) for rapid 3D quantitative T2* and Susceptibility imaging

bioRxiv

2024

Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction

bioRxiv

2023/3/28

High‐resolution myelin‐water fraction and quantitative relaxation mapping using 3D ViSTa‐MR fingerprinting

Magnetic resonance in medicine

2023/12/29

Blip-Up Blip-Down Circular EPI (BUDA-cEPI) for Distortion-Free dMRI with Rapid Unrolled Deep Learning Reconstruction

arXiv preprint arXiv:2310.15939

2023/10/24

High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction

Neuroimage

2023/7/15

Optimized multi‐axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging

Magnetic Resonance in Medicine

2022/7

On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging

2022

Siddharth Srinivasan Iyer
Siddharth Srinivasan Iyer

H-Index: 3

3D Diffusion-prepared MRF (3DM) with cardiac gating for rapid high resolution wholebrain T1, T2, proton density and diffusivity mapping

Proceedings of the Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting

2022

Mesoscale myelin-water fraction and T/T 2/PD mapping through optimized 3D ViSTa-MRF and stochastic reconstruction with preconditioning

2022

Polynomial preconditioning for accelerated convergence of proximal algorithms including FISTA

Proceedings of the International Society of Magnetic Resonance in Medicine, London, United Kingdom

2022

Coil-sketched unrolled networks for computationally-efficient deep MRI reconstruction

ISMRM 30th Annual Meeting, London, United Kingdom, May

2022

Toward a 1-minute high-resolution brain exam-MR fingerprinting with fast reconstruction and ML-synthesized contrasts

Proc Int Soc Magn Reson Med

2022

Rapid reconstruction of Blip up-down circular EPI (BUDA-cEPI) for distortion-free dMRI using an Unrolled Network with U-Net as Priors

Proceedings of the Joint Annual Meeting ISMRM-ESMRMB, London, United Kindom

2022

High-fidelity submillimeter-isotropic-resolution diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction

ISMRM, London

2022

Deep subspace learning for efficient reconstruction of spatiotemporal imaging data

2021/10/19

Efficient T2 mapping with blip‐up/down EPI and gSlider‐SMS (T2‐BUDA‐gSlider)

Magnetic resonance in medicine

2021/10

See List of Professors in Siddharth Srinivasan Iyer University(Massachusetts Institute of Technology)

Co-Authors

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