Daniel Rueckert

Also affiliated with Technical University of Munich

Medicine

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 2%percentile

2.8Author DataRank

Indexed papers

1in 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 1 indexed paper 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 →

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

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

NeuroImage(2020)10.1016/j.neuroimage.2020.117303

Top 8%

2.8DataRank

Top 8%180 citations

Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani +22 more

Papers

Driven by 18 papers — median percentile 92. Top paper: “The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants”.

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

NeuroImage(2020)10.1016/j.neuroimage.2020.117303

Top 8%

2.8DataRank

Top 8%180 citations

Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani +22 more

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2016)10.1109/cvpr.2016.207

N/A

1.3DataRank · unranked

7014 citations

Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop +5 more

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

NeuroImage(2006)10.1016/j.neuroimage.2006.02.024

N/A

1.3DataRank · unranked

6591 citations

Mark Jenkinson, Heidi Johansen-Berg, Daniel Rueckert, Thomas E. Nichols, Clare E. Mackay +8 more

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation

arXiv (Cornell University)(2022)10.48550/arxiv.2205.11096

N/A

0.852DataRank · unranked

16 citations

Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian Joachim Theis, Daniel Rueckert +3 more

Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination

Magnetic Resonance in Medicine(2021)10.1002/mrm.28827

N/A

0DataRank · unranked

90 citations

Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert +1 more

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction

Lecture notes in computer science(2021)10.1007/978-3-030-87586-2_8

N/A

0DataRank · unranked

25 citations

Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary, Qiang Ma

Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning

Journal of Cardiovascular Magnetic Resonance(2022)10.1186/s12968-022-00846-4

N/A

0DataRank · unranked

90 citations

João B. Augusto, Anish Bhuva, Hui Xue, Thomas A. Treibel, Yang Ye +19 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

Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries

Nature Reviews Cardiology(2023)10.1038/s41569-023-00900-3

N/A

0DataRank · unranked

100 citations

Michelle C. Williams, Damini Dey, Armin Arbab‐Zadeh, Pál Maurovich‐Horvat, Rick Volleberg +11 more

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv (Cornell University)(2023)10.48550/arxiv.2309.12325

N/A

0DataRank · unranked

38 citations

Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie +95 more

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Lecture notes in computer science(2023)10.1007/978-3-031-44336-7_1

N/A

0DataRank · unranked

3 citations

Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert +3 more

Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps

arXiv (Cornell University)(2023)10.48550/arxiv.2312.02608

N/A

0DataRank · unranked

2 citations

Hendrik Möller, Josef A. Buchner, Ezequiel de la Rosa, Ivan Ezhov, Marcel Rosier +16 more

LST-AI: A deep learning ensemble for accurate MS lesion segmentation

NeuroImage Clinical(2024)10.1016/j.nicl.2024.103611

N/A

0DataRank · unranked

55 citations

Julian McGinnis, Sarah Schlaeger, Florian Kofler, Cui Ci Voon, Achim Berthele +16 more

Predicting recovery in patients with mild traumatic brain injury and a normal CT using serum biomarkers and diffusion tensor imaging (CENTER-TBI): an observational cohort study

EClinicalMedicine(2024)10.1016/j.eclinm.2024.102751

N/A

0DataRank · unranked

22 citations

Stefan Winzeck, Marta Correia, Endre Czeiter, Daniel Whitehouse, Evgenios Kornaropoulos +79 more

A Learnable Prior Improves Inverse Tumor Growth Modeling

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3494022

N/A

0DataRank · unranked

7 citations

Ivan Ezhov, Michał Balcerak, Marie‐Christin Metz, Sergey Litvinov, Sebastian Kaltenbach +9 more

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Medical Image Analysis(2020)10.1016/j.media.2020.101832

N/A

0DataRank · unranked

490 citations

Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng +39 more

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

arXiv (Cornell University)(2020)10.48550/arxiv.2007.05993

N/A

0DataRank · unranked

2 citations

Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert +1 more

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Proceedings of the IEEE(2021)10.1109/jproc.2021.3054390

N/A

0DataRank · unranked

1028 citations

Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi +4 more

Daniel Rueckert

Indexed papers

Top data-sharing exemplar

Papers