Florian Knoll

Florian Knoll

New York University

H-index: 34

North America-United States

About Florian Knoll

Florian Knoll, With an exceptional h-index of 34 and a recent h-index of 30 (since 2020), a distinguished researcher at New York University, specializes in the field of Magnetic Resonance Imaging, Machine Learning, Inverse Problems, Image Reconstruction.

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

Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant: GPT4MR

Accelerated diffusion-weighted magnetic resonance imaging at 7 T: Joint reconstruction for shift-encoded navigator-based interleaved echo planar imaging (JETS-NAViEPI)

Erratum for: How AI May Transform Musculoskeletal Imaging

How AI May Transform Musculoskeletal Imaging

Deep learning reconstruction enables prospectively accelerated clinical knee MRI

Simultaneous Multi-Slice Protocol and Deep-Learning Magnetic Resonance Imaging Reconstruction

Physics-driven deep learning for computational magnetic resonance imaging: Combining physics and machine learning for improved medical imaging

Florian Knoll Information

University

Position

___

Citations(all)

7092

Citations(since 2020)

5772

Cited By

2935

hIndex(all)

34

hIndex(since 2020)

30

i10Index(all)

66

i10Index(since 2020)

51

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Florian Knoll Skills & Research Interests

Magnetic Resonance Imaging

Machine Learning

Inverse Problems

Image Reconstruction

Top articles of Florian Knoll

Title

Journal

Author(s)

Publication Date

Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction

Florian Fürnrohr

Jens Wetzl

Marc Vornehm

Daniel Giese

Florian Knoll

2024/2/20

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant: GPT4MR

Moritz Zaiss

Junaid R Rajput

Hoai N Dang

Vladimir Golkov

Daniel Cremers

...

2024/2/20

Accelerated diffusion-weighted magnetic resonance imaging at 7 T: Joint reconstruction for shift-encoded navigator-based interleaved echo planar imaging (JETS-NAViEPI)

Imaging Neuroscience

Zhengguo Tan

Patrick Alexander Liebig

Robin Martin Heidemann

Frederik Bernd Laun

Florian Knoll

2024/2/5

Erratum for: How AI May Transform Musculoskeletal Imaging

Radiology

Ali Guermazi

Patrick Omoumi

Mickael Tordjman

Jan Fritz

Richard Kijowski

...

2024/1/30

How AI May Transform Musculoskeletal Imaging

Ali Guermazi

Patrick Omoumi

Mickael Tordjman

Jan Fritz

Richard Kijowski

...

2024/1/2

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

Simultaneous Multi-Slice Protocol and Deep-Learning Magnetic Resonance Imaging Reconstruction

2023/9/21

Physics-driven deep learning for computational magnetic resonance imaging: Combining physics and machine learning for improved medical imaging

IEEE signal processing magazine

Kerstin Hammernik

Thomas Küstner

Burhaneddin Yaman

Zhengnan Huang

Daniel Rueckert

...

2023/1/2

Simultaneous optimization of MR sequenceand reconstruction using MR-zero and variationalnetworks

HN Dang

J Endres

S Weinmüller

A Maier

F Knoll

...

2023/9

GPT4MR: Exploring GPT-4 as an MR sequence and reconstruction programming assistant

M Zaiss

HN Dang

V Golkov

JR Rajput

D Cremers

...

2023/9

Stable deep MRI reconstruction using Generative Priors

IEEE Transactions on Medical Imaging

Martin Zach

Florian Knoll

Thomas Pock

2023/9/1

Deep learning denoising of low-dose computed tomography chest images: a quantitative and qualitative image analysis

Journal of Computer Assisted Tomography

Lea Azour

Yunan Hu

Jane P Ko

Baiyu Chen

Florian Knoll

...

2023/3/1

Deep learning reconstruction enables highly accelerated biparametric MR imaging of the prostate

Journal of Magnetic Resonance Imaging

Patricia M Johnson

Angela Tong

Awani Donthireddy

Kira Melamud

Robert Petrocelli

...

2022/7

Alternating learning approach for variational networks and undersampling pattern in parallel MRI applications

IEEE transactions on computational imaging

Marcelo Victor Wust Zibetti

Florian Knoll

Ravinder R Regatte

2022/5/20

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

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

Magnetic resonance in medicine

Jonghyun Bae

Zhengnan Huang

Florian Knoll

Krzysztof Geras

Terlika Pandit Sood

...

2022/5

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

Scientific Data

Ruiyang Zhao

Burhaneddin Yaman

Yuxin Zhang

Russell Stewart

Austin Dixon

...

2022/4/5

Spatiotemporal variational neural network for reconstruction of highly accelerated cardiac cine MRI

European Heart Journal-Cardiovascular Imaging

M Vornehm

J Wetzl

D Giese

R Ahmad

F Knoll

2022/9/1

Virtual mouse brain histology from multi-contrast MRI via deep learning

Elife

Zifei Liang

Choong H Lee

Tanzil M Arefin

Zijun Dong

Piotr Walczak

...

2022/1/28

New-generation low-field magnetic resonance imaging of hip arthroplasty implants using slice encoding for metal artifact correction: first in vitro experience at 0.55 T and …

Investigative radiology

Iman Khodarahmi

Inge M Brinkmann

Dana J Lin

Mary Bruno

Patricia M Johnson

...

2022/8/1

See List of Professors in Florian Knoll University(New York University)

Co-Authors

H-index: 74
Daniel Sodickson

Daniel Sodickson

New York University

H-index: 67
Thomas Pock

Thomas Pock

Technische Universität Graz

H-index: 40
Kristian Bredies

Kristian Bredies

Karl-Franzens-Universität Graz

H-index: 37
Rudolf Stollberger

Rudolf Stollberger

Technische Universität Graz

H-index: 37
Martin Uecker

Martin Uecker

Georg-August-Universität Göttingen

H-index: 35
Riccardo Lattanzi

Riccardo Lattanzi

New York University

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