2026 Daniel K. Sodickson: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	74	800	758	278	253	272	23976

Research.com Recognitions

2020 - Fellow, National Academy of Inventors

Overview

Daniel K. Sodickson is affiliated with New York University in the United States. Their primary field of study is Medicine, with a particular focus on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Atomic and Molecular Physics, and Optics. Additional subfields include Pulmonary and Respiratory Medicine and Artificial Intelligence.

The research topics covered in their work include:

Advanced MRI Techniques and Applications
Medical Imaging Techniques and Applications
Radiomics and Machine Learning in Medical Imaging
Atomic and Subatomic Physics Research
MRI in cancer diagnosis
Prostate Cancer Diagnosis and Treatment
Advanced X-ray and CT Imaging

Among the recent papers authored or co-authored by Daniel K. Sodickson are:

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning (2020, Radiology Artificial Intelligence)
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues (2020, IEEE Signal Processing Magazine)
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge (2020, Magnetic Resonance in Medicine)
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study (2020, American Journal of Roentgenology)
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI (2023, Radiology)

Frequently collaborating co-authors include:

Hersh Chandarana
Sumit Chopra
Patricia M. Johnson
Angela Tong
Tarun Dutt

The most common venues for publications by Daniel K. Sodickson are:

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Magnetic Resonance in Medicine
arXiv (Cornell University)
Radiology Artificial Intelligence
IEEE Signal Processing Magazine

Daniel K. Sodickson received the award of Fellow from the National Academy of Inventors in 2020.

Best Publications

Simultaneous acquisition of spatial harmonics (SMASH): ultra-fast imaging with radiofrequency coil arrays

Daniel Kevin Sodickson

2999
Citations
Learning a variational network for reconstruction of accelerated MRI data.

Kerstin Hammernik;Teresa Klatzer;Erich Kobler;Michael P. Recht

1708
Citations
Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI

Li Feng;Robert Grimm;Kai Tobias Block;Hersh Chandarana

834
Citations
Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components.

Ricardo Otazo;Emmanuel Candès;Daniel K. Sodickson

793
Citations
XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing.

Li Feng;Leon Axel;Hersh Chandarana;Kai Tobias Block

783
Citations
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Jure Zbontar;Florian Knoll;Anuroop Sriram;Matthew J. Muckley

706
Citations
Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI.

Ricardo Otazo;Daniel Kim;Leon Axel;Daniel K. Sodickson

703
Citations
Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions.

Philip M. Robson;Aaron K. Grant;Ananth J. Madhuranthakam;Riccardo Lattanzi

544
Citations
AUTO-SMASH: A self-calibrating technique for SMASH imaging

Peter M. Jakob;Mark A. Griswold;Robert R. Edelman;Daniel K. Sodickson

447
Citations
Double-oblique free-breathing high resolution three-dimensional coronary magnetic resonance angiography

Matthias Stuber;Matthias Stuber;René M. Botnar;René M. Botnar;Peter G. Danias;Daniel K. Sodickson

401
Citations
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Florian Knoll;Jure Zbontar;Anuroop Sriram;Matthew J Muckley

381
Citations
Default-Mode Network Disruption in Mild Traumatic Brain Injury

Yongxia Zhou;Michael P. Milham;Yvonne W. Lui;Laura Miles

340
Citations
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

Florian Knoll;Kerstin Hammernik;Chi Zhang;Steen Moeller

331
Citations
An introduction to coil array design for parallel MRI.

Michael A. Ohliger;Michael A. Ohliger;Daniel K. Sodickson

328
Citations
A generalized approach to parallel magnetic resonance imaging.

Daniel K. Sodickson;Charles A. McKenzie

312
Citations
AUTO-SMASH: a self-calibrating technique for SMASH imaging. SiMultaneous Acquisition of Spatial Harmonics.

P M Jakob;M A Griswold;R R Edelman;D K Sodickson

307
Citations
Compressed sensing for body MRI

Li Feng;Thomas Benkert;Kai Tobias Block;Daniel K. Sodickson

306
Citations
Ultimate intrinsic signal-to-noise ratio for parallel MRI: electromagnetic field considerations.

Michael A. Ohliger;Aaron K. Grant;Daniel K. Sodickson;Daniel K. Sodickson

283
Citations
Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer.

E. E. Sigmund;G. Y. Cho;S. Kim;M. Finn

280
Citations
Highly accelerated real-time cardiac cine MRI using k–t SPARSE-SENSE

Li Feng;Monvadi B. Srichai;Ruth P. Lim;Alexis Harrison

279
Citations
Free-Breathing Contrast-Enhanced Multiphase MRI of the Liver Using a Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling

Hersh Chandarana;Li Feng;Tobias K. Block;Andrew B. Rosenkrantz

274
Citations
Golden-Angle Radial Sparse Parallel MRI: Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling for Fast and Flexible

Li Feng;Robert Grimm;Kai Tobias Block;Hersh Chandarana

0
Citations