Daniel Sodickson

Daniel Sodickson

New York University

H-index: 74

North America-United States

About Daniel Sodickson

Daniel Sodickson, With an exceptional h-index of 74 and a recent h-index of 48 (since 2020), a distinguished researcher at New York University, specializes in the field of biomedical imaging.

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

FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging

Brain‐implanted conductors amplify radiofrequency fields in rodents: Advantages and risks

DeepEMC-T2 Mapping: Deep Learning-Enabled T2 Mapping Based on Echo Modulation Curve Modeling

Computational methods for the estimation of ideal current patterns in realistic human models

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease

Low‐field MRI: A report on the 2022 ISMRM workshop

Deep learning reconstruction enables prospectively accelerated clinical knee MRI

MP‐RAVE: IR‐Prepared T1‐Weighted Radial Stack‐of‐Stars 3D GRE imaging with retrospective motion correction

Daniel Sodickson Information

University

Position

Vice-Chair for Research Department of Radiology School of Medicine

Citations(all)

25272

Citations(since 2020)

11671

Cited By

17340

hIndex(all)

74

hIndex(since 2020)

48

i10Index(all)

246

i10Index(since 2020)

146

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Daniel Sodickson Skills & Research Interests

biomedical imaging

Top articles of Daniel Sodickson

Title

Journal

Author(s)

Publication Date

FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging

Scientific Data

Radhika Tibrewala

Tarun Dutt

Angela Tong

Luke Ginocchio

Riccardo Lattanzi

...

2024/4/20

Brain‐implanted conductors amplify radiofrequency fields in rodents: Advantages and risks

Bioelectromagnetics

Mihály Vöröslakos

Omid Yaghmazadeh

Leeor Alon

Daniel K Sodickson

György Buzsáki

2024/4

DeepEMC-T2 Mapping: Deep Learning-Enabled T2 Mapping Based on Echo Modulation Curve Modeling

arXiv preprint arXiv:2402.19205

Haoyang Pei

Timothy M Shepherd

Yao Wang

Fang Liu

Daniel K Sodickson

...

2024/2/29

Computational methods for the estimation of ideal current patterns in realistic human models

Magnetic resonance in medicine

Ilias I Giannakopoulos

Ioannis P Georgakis

Daniel K Sodickson

Riccardo Lattanzi

2024/2

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease

arXiv preprint arXiv:2301.11962

Raghav Singhal

Mukund Sudarshan

Anish Mahishi

Sri Kaushik

Luke Ginocchio

...

2023/1/27

Low‐field MRI: A report on the 2022 ISMRM workshop

Adrienne E Campbell‐Washburn

Kathryn E Keenan

Peng Hu

John P Mugler III

Krishna S Nayak

...

2023/10

Deep learning reconstruction enables prospectively accelerated clinical knee MRI

Radiology

Patricia M Johnson

Dana J Lin

Jure Zbontar

C Lawrence Zitnick

Anuroop Sriram

...

2023/1/17

MP‐RAVE: IR‐Prepared T1‐Weighted Radial Stack‐of‐Stars 3D GRE imaging with retrospective motion correction

Magnetic resonance in medicine

Eddy Solomon

Eyal Lotan

Elcin Zan

Daniel K Sodickson

Kai Tobias Block

...

2023/7

Receive coil arrangement and method for use thereof

2023/6/27

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis

arXiv preprint arXiv:2306.13276

Divyam Madaan

Daniel Sodickson

Kyunghyun Cho

Sumit Chopra

2023

Fastmri prostate: A publicly available, biparametric mri dataset to advance machine learning for prostate cancer imaging

arXiv preprint arXiv:2304.09254

Radhika Tibrewala

Tarun Dutt

Angela Tong

Luke Ginocchio

Mahesh B Keerthivasan

...

2023/4/18

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning

ArXiv

Eisa Hedayati

Fatemeh Safari

George Verghese

Vito R Ciancia

Daniel K Sodickson

...

2023/10/3

Twenty‐four–channel high‐impedance glove array for hand and wrist MRI at 3T

Magnetic resonance in medicine

Bei Zhang

Bili Wang

Justin Ho

Shota Hodono

Christopher Burke

...

2022/5

Simultaneous 3D acquisition of 1H MRF and 23Na MRI

Magnetic resonance in medicine

Zidan Yu

Shota Hodono

Olga Dergachyova

Tom Hilbert

Bili Wang

...

2022/5

Exploring the acceleration limits of deep learning variational network–based two-dimensional brain MRI

Radiology: Artificial Intelligence

Alireza Radmanesh

Matthew J Muckley

Tullie Murrell

Emma Lindsey

Anuroop Sriram

...

2022/11/2

Differences between human and machine perception in medical diagnosis

Scientific reports

Taro Makino

Stanisław Jastrzębski

Witold Oleszkiewicz

Celin Chacko

Robin Ehrenpreis

...

2022/4/27

Neuronal activity under transcranial radio-frequency stimulation in metal-free rodent brains in-vivo

Communications engineering

Omid Yaghmazadeh

Mihály Vöröslakos

Leeor Alon

Giuseppe Carluccio

Christopher Collins

...

2022/7/1

Generalized Bloch model: A theory for pulsed magnetization transfer

Magnetic resonance in medicine

Jakob Assländer

Cem Gultekin

Sebastian Flassbeck

Steffen J Glaser

Daniel K Sodickson

2022/4

Introductory magnetic resonance imaging physics

Jeffrey P Guenette

Daniel K Sodickson

Aaron D Sodickson

2022/1/1

Accelerated MR screenings with direct k-space classification

Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting

Raghav Singhal

Mukund Sudarshan

Luke Ginocchio

Angela Tong

Hersh Chandarana

...

2022/5

See List of Professors in Daniel Sodickson University(New York University)