🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Florian Knöll

Friedrich-Alexander-Universität Erlangen-Nürnberg

ORCID: 0000-0001-5357-8656

Also affiliated with Advanced Imaging Research (United States), New York University

MedicineEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile
14.4Author DataRank

Indexed papers

6in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 6 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

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

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190007
Top 3%
6.2DataRank
Top 3%404 citations

Jure Žbontar, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio +18 more

Papers

Driven by 17 papers — median percentile 68. Top paper: “fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning”.

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

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190007
Top 3%
6.2DataRank
Top 3%404 citations

Jure Žbontar, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio +18 more

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3075856
Top 3%
6.0DataRank
Top 3%306 citations

Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko +18 more

CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge

Magnetic Resonance in Medicine(2020)10.1002/mrm.28569
Top 13%
1.6DataRank
Top 13%34 citations

Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper +9 more

FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI

Radiology Artificial Intelligence(2025)10.1148/ryai.240345
Top 51%
0.344DataRank
Top 51%5 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods

Magnetic Resonance in Medicine(2024)10.1002/mrm.30152
Top 72%
0.118DataRank
Top 72%1 citations

Zhengguo Tan, Eddy Solomon, Zhengnan Huang, Laura Heacock, Linda Moy +3 more

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI

arXiv (Cornell University)(2024)10.48550/arxiv.2406.05270
Top 72%
0.115DataRank
Top 72%1 citations

Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knöll +4 more

Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate

Journal of Magnetic Resonance Imaging(2021)10.1002/jmri.28024
N/A
0DataRank · unranked
70 citations

Angela Tong, Awani Donthireddy, Kira Melamud, Robert Petrocelli, Paul Smereka +5 more

Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI

Radiology Artificial Intelligence(2022)10.1148/ryai.210313
N/A
0DataRank · unranked
30 citations

Matthew J. Muckley, Tullie Murrell, Emma Lindsey, Anuroop Sriram, Florian Knöll +3 more

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)10.1002/mrm.29148
N/A
0DataRank · unranked
5 citations

Zhengnan Huang, Florian Knöll, Krzysztof J. Geras, Terlika Pandit Sood, Li Feng +4 more

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI

Radiology(2023)10.1148/radiol.220425
N/A
0DataRank · unranked
116 citations

Dana J. Lin, Jure Žbontar, C. Lawrence Zitnick, Anuroop Sriram, Matthew J. Muckley +12 more

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

IEEE Signal Processing Magazine(2023)10.1109/msp.2022.3215288
N/A
0DataRank · unranked
111 citations

Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knöll +2 more

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

Imaging Neuroscience(2024)10.1162/imag_a_00085
N/A
0DataRank · unranked
3 citations

Patrick Liebig, Robin M. Heidemann, Frederik B. Laun, Florian Knöll, Zhengguo Tan

Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data

arXiv (Cornell University)(2024)10.48550/arxiv.2405.03732
N/A
0DataRank · unranked
0 citations

Dominik Nickel, Florian Knöll, Jinho Kim

Deep Learning‐Based Accelerated MR Cholangiopancreatography Without Fully‐Sampled Data

NMR in Biomedicine(2025)10.1002/nbm.70002
N/A
0DataRank · unranked
5 citations

Dominik Nickel, Florian Knöll, Jinho Kim

Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks

Scientific Reports(2020)10.1038/s41598-020-76126-x
N/A
0DataRank · unranked
20 citations

Patricia M. Johnson, Azadeh Sharafi, Kerstin Hammernik, Florian Knöll, Ravinder R. Regatte +1 more

Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians

Journal of Magnetic Resonance Imaging(2020)10.1002/jmri.27078
N/A
0DataRank · unranked
285 citations

Patricia M. Johnson, Florian Knöll, Yvonne W. Lui, Dana J. Lin

Improving the Speed of MRI with Artificial Intelligence

Seminars in Musculoskeletal Radiology(2020)10.1055/s-0039-3400265
N/A
0DataRank · unranked
76 citations

Michael P. Recht, Florian Knöll, Patricia M. Johnson