Li Feng

Li Feng

Icahn School of Medicine at Mount Sinai

H-index: 29

North America-United States

About Li Feng

Li Feng, With an exceptional h-index of 29 and a recent h-index of 26 (since 2020), a distinguished researcher at Icahn School of Medicine at Mount Sinai, specializes in the field of Magnetic Resonance Imaging, Image Reconstruction.

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

High-resolution free-breathing hepatobiliary phase MRI of the liver using XD-GRASP

Magnetic resonance signature matching (MRSIGMA) for real-time volumetric motion tracking and adaptive radiotherapy

Incorporation of view sharing and KWIC filtering into GRASP‐Pro improves spatial resolution of single‐shot, multi‐TI, late gadolinium enhancement MRI

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

Discovery Viewer (DV): Web-Based Medical AI Model Development Platform and Deployment Hub

Live‐view 4D GRASP MRI: A framework for robust real‐time respiratory motion tracking with a sub‐second imaging latency

Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI

Kz-accelerated variable-density stack-of-stars MRI

Li Feng Information

University

Position

___

Citations(all)

4650

Citations(since 2020)

2949

Cited By

2640

hIndex(all)

29

hIndex(since 2020)

26

i10Index(all)

46

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Li Feng Skills & Research Interests

Magnetic Resonance Imaging

Image Reconstruction

Top articles of Li Feng

High-resolution free-breathing hepatobiliary phase MRI of the liver using XD-GRASP

Magnetic Resonance Imaging

2024/6/1

Magnetic resonance signature matching (MRSIGMA) for real-time volumetric motion tracking and adaptive radiotherapy

Proceedings of the 27th Annual Meeting of ISMRM

2019

Li Feng
Li Feng

H-Index: 18

Incorporation of view sharing and KWIC filtering into GRASP‐Pro improves spatial resolution of single‐shot, multi‐TI, late gadolinium enhancement MRI

NMR in Biomedicine

2024/3

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

arXiv preprint arXiv:2402.19205

2024/2/29

Discovery Viewer (DV): Web-Based Medical AI Model Development Platform and Deployment Hub

Bioengineering

2023/12/6

Live‐view 4D GRASP MRI: A framework for robust real‐time respiratory motion tracking with a sub‐second imaging latency

Magnetic Resonance in Medicine

2023/9

Li Feng
Li Feng

H-Index: 18

Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI

Magnetic Resonance in Medicine

2023/5/1

Kz-accelerated variable-density stack-of-stars MRI

Magnetic Resonance Imaging

2023/4/1

Zhitao Li
Zhitao Li

H-Index: 3

Li Feng
Li Feng

H-Index: 18

Performance of spiral UTE-MRI of the lung in post-COVID patients

Magnetic resonance imaging

2023/2/1

Thomas Benkert
Thomas Benkert

H-Index: 5

Li Feng
Li Feng

H-Index: 18

4D golden‐angle radial MRI at subsecond temporal resolution

NMR in Biomedicine

2023/2

Li Feng
Li Feng

H-Index: 18

Acceleration methods for perfusion imaging

2023/1/1

Li Feng
Li Feng

H-Index: 18

Nan Wang
Nan Wang

H-Index: 8

View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic …

Physics and Imaging in Radiation Oncology

2023/1/1

Walking with the ISMRM in the footprints of our MR history

Journal of Magnetic Resonance Imaging

2023

Respiratory Motion Management in Abdominal MRI: Radiology In Training

2023/1

Li Feng
Li Feng

H-Index: 18

Rapid fat–water separated T1 mapping using a single‐shot radial inversion‐recovery spoiled gradient recalled pulse sequence

NMR in Biomedicine

2022/12

4D Real-Time GRASP MRI at Sub-Second Temporal Resolution

arXiv preprint arXiv:2208.05508

2022/8/10

Li Feng
Li Feng

H-Index: 18

Golden‐angle radial MRI: basics, advances, and applications

2022/7

Li Feng
Li Feng

H-Index: 18

Estimation of the capillary level input function for dynamic contrast‐enhanced MRI of the breast using a deep learning approach

Magnetic resonance in medicine

2022/5

Repeatability and robustness of MP‐GRASP T1 mapping

Magnetic resonance in medicine

2022/5

Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends

2022/4

See List of Professors in Li Feng University(Icahn School of Medicine at Mount Sinai)