Benedikt Wiestler

Also affiliated with University Hospital Ulm, Munich Center for Machine Learning

MedicineComputer Science

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

7.8Author DataRank

Indexed papers

3in 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 3 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 →

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

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680

Top 2%

7.2DataRank

Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 33 papers — median percentile 51. Top paper: “The Liver Tumor Segmentation Benchmark (LiTS)”.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680

Top 2%

7.2DataRank

Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

A prognostic neural epigenetic signature in high-grade glioma

Nature Medicine(2024)10.1038/s41591-024-02969-w

N/A

1.9DataRank · unranked

116 citations

Robin Khatri, Thomas Sauvigny, Malte Mohme, Cécile L. Maire, Alice Ryba +41 more

Gray matter atrophy in relapsing-remitting multiple sclerosis is associated with white matter lesions in connecting fibers

Multiple Sclerosis Journal(2021)10.1177/13524585211044957

N/A

0.463DataRank · unranked

9 citations

Sophia Grahl, Viola Pongratz, Achim Berthele, Christiane Gasperi, Till F. M. Andlauer +7 more

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3

Top 49%

0.361DataRank

Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 more

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18383

Top 54%

0.310DataRank

Top 54%5 citations

Abramova, Valeriia, Astaraki, Mehdi, Ferreira, Andre, Jiang, Zhifan, Cleveland, Mason C. +95 more

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

The Journal of Machine Learning for Biomedical Imaging(2023)10.59275/j.melba.2023-dg1f

N/A

0DataRank · unranked

37 citations

Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner +14 more

Lesion location across diagnostic regions in multiple sclerosis

NeuroImage Clinical(2023)10.1016/j.nicl.2022.103311

N/A

0DataRank · unranked

22 citations

Matthias Bussas, Paul J. Schmidt, Sophia Grahl, Christiane Gasperi, Malek El Husseini +11 more

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

arXiv (Cornell University)(2023)10.48550/arxiv.2305.07642

N/A

0DataRank · unranked

26 citations

Maruf Adewole, Michelle Alonso‐Basanta, Talissa A. Altes, Syed Muhammad Anwar, Ujjwal Baid +55 more

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011

N/A

0DataRank · unranked

12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Epigenetic neural glioblastoma enhances synaptic integration and predicts therapeutic vulnerability

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.04.552017

N/A

0DataRank · unranked

8 citations

Robin Khatri, Thomas Sauvigny, Malte Mohme, Cécile L. Maire, Alice Ryba +37 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7

N/A

0DataRank · unranked

5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 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

Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans

PubMed(2023)10.48550/arxiv.2311.16536

N/A

0DataRank · unranked

0 citations

Ivan Ezhov, Michał Balcerak, Andy Zhu, Benedikt Wiestler, Bjoern Menze +2 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

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

The Lancet Oncology(2024)10.1016/s1470-2045(24)00315-2

N/A

0DataRank · unranked

28 citations

Philipp Kickingereder, Norbert Galldiks, Thomas C. Booth, Hugo J.W.L. Aerts, Wenya Linda Bi +21 more

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements

The Lancet Oncology(2024)10.1016/s1470-2045(24)00316-4

N/A

0DataRank · unranked

24 citations

Spyridon Bakas, Pallavi Tiwari, Janine Lupo, Evan Calabrese, Christos Davatzikos +21 more

Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans

Medical Image Analysis(2024)10.1016/j.media.2024.103423

N/A

0DataRank · unranked

24 citations

Ivan Ezhov, Michał Balcerak, Andy Zhu, Benedikt Wiestler, Bjoern Menze +2 more

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Neuro-Oncology(2024)10.1093/neuonc/noae260

N/A

0DataRank · unranked

12 citations

Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, José García +83 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

Intensity scaling of conventional brain magnetic resonance images avoiding cerebral reference regions: A systematic review

PLoS ONE(2024)10.1371/journal.pone.0298642

N/A

0DataRank · unranked

6 citations

Cui Ci Voon, Koen Van Leemput, Benedikt Wiestler, Mark Mühlau, Tun Wiltgen

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2403.19425

N/A

0DataRank · unranked

8 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +53 more

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15009

N/A

0DataRank · unranked

7 citations

Nastaran Khalili, Xinyang Liu, Deep Gandhi, Zhifan Jiang, Syed Muhammed Anwar +66 more

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18435

N/A

0DataRank · unranked

5 citations

Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler +75 more

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

Nature Communications(2025)10.1038/s41467-025-62373-x

N/A

0DataRank · unranked

15 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +54 more

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Nature Communications(2025)10.1038/s41467-025-60466-1

N/A

0DataRank · unranked

11 citations

Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller +95 more

Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study

The Lancet Regional Health - Europe(2025)10.1016/j.lanepe.2025.101323

N/A

0DataRank · unranked

3 citations

Hartmut Häntze, Christian Mertens, Felix Busch, Tristan Lemke, Jakob Nikolas Kather +22 more

GlioMODA: Robust Glioma Segmentation in Clinical Routine

medRxiv(2025)10.1101/2025.11.12.25339968

N/A

0DataRank · unranked

1 citations

Josef A. Buchner, Marcel Rosier, Michael Griessmair, Jan C. Peeken, Jan S. Kirschke +6 more

Analyzing magnetic resonance imaging data from glioma patients using deep learning

Computerized Medical Imaging and Graphics(2020)10.1016/j.compmedimag.2020.101828

N/A

0DataRank · unranked

47 citations

Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus Maier‐Hein, Mauricio Reyes +2 more

Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis

NeuroImage(2025)10.1016/j.neuroimage.2025.121395

N/A

0DataRank · unranked

0 citations

Julian McGinnis, Ronja Berg, Cui Ci Voon, Oula Puonti, Katrin Giglhuber +8 more

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5

N/A

0DataRank · unranked

352 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

Percentage brain volume change in multiple sclerosis mainly reflects white matter and cortical volume

Annals of Clinical and Translational Neurology(2022)10.1002/acn3.51700

N/A

0DataRank · unranked

2 citations

Matthias Bussas, Viola Pongratz, Achim Berthele, Jan S. Kirschke, Benedikt Wiestler +4 more

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings

Zurich Open Repository and Archive (University of Zurich)(2022)10.48550/arxiv.2205.10355

N/A

0DataRank · unranked

0 citations

Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster +12 more

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Neuroradiology(2023)10.1007/s00234-023-03196-9

N/A

0DataRank · unranked

25 citations

Sohil H. Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, MacLean P. Nasrallah +79 more

Benedikt Wiestler

Indexed papers

Top data-sharing exemplar

Papers