Ben Glocker

Also affiliated with Imperial College London

Computer ScienceMedicine

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 17 papers. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z

N/A

9.2DataRank · unranked

411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

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

BMJ(2025)10.1136/bmj-2024-081554

N/A

7.0DataRank · unranked

386 citations

Alejandro F. Frangi, Antonio R. Porras, Ben Glocker, Celia Cintas, Curtis P. Langlotz +44 more

Genetic vulnerability and adverse mental health outcomes following mild traumatic brain injury: a meta-analysis of CENTER-TBI and TRACK-TBI cohorts

EClinicalMedicine(2024)10.1016/j.eclinm.2024.102956

N/A

0.214DataRank · unranked

3 citations

Lindsay Wilson, Daniel F. Levey, Livia Parodi, Ewout W. Steyerberg, Sylvia Richardson +95 more

Nonlinear biomarker interactions in conversion from mild cognitive impairment to Alzheimer's disease

Human Brain Mapping(2020)10.1002/hbm.25133

N/A

0DataRank · unranked

32 citations

Alex Whittington, Roger N. Gunn, Paul M. Matthews, Ben Glocker, David Sharp +3 more

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

Nature Medicine(2021)10.1038/s41591-021-01517-0

N/A

0DataRank · unranked

252 citations

Hutan Ashrafian, Sherri Rose, Nigam H. Shah, Marzyeh Ghassemi, Robert Golub +35 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642

N/A

0DataRank · unranked

87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Nature Medicine(2022)10.1038/s41591-022-01772-9

N/A

0DataRank · unranked

564 citations

Myura Nagendran, Bruce Campbell, David A. Clifton, Gary S. Collins, Spiros Denaxas +95 more

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Medical Image Analysis(2022)10.1016/j.media.2022.102628

N/A

0DataRank · unranked

6 citations

Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard +35 more

Diffuse Intracranial Injury Patterns Are Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A CENTER-TBI Validation Study

Journal of Neurotrauma(2020)10.1089/neu.2019.6959

N/A

0DataRank · unranked

22 citations

François Mathieu, Miguel Monteiro, Ben Glocker, Ari Ercole, Erta Beqiri +43 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

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0

N/A

0DataRank · unranked

181 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00224-3

N/A

0DataRank · unranked

134 citations

Joanne Palmer, Elinor Laws, Melissa D. McCradden, Johan Ordish, Marzyeh Ghassemi +45 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

Latent Causal Modeling for 3D Brain MRI Counterfactuals

arXiv (Cornell University)(2024)10.48550/arxiv.2409.05585

N/A

0DataRank · unranked

0 citations

Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli, Qingyu Zhao +3 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653

N/A

0DataRank · unranked

62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

Systemic Markers of Injury and Injury Response Are Not Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study

Journal of Neurotrauma(2020)10.1089/neu.2020.7304

N/A

0DataRank · unranked

17 citations

François Mathieu, Miguel Monteiro, Ben Glocker, Ari Ercole, Manuel Cabeleira +43 more

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Journal of Medical Imaging(2020)10.1117/1.jmi.7.5.055501

N/A

0DataRank · unranked

16 citations

Konstantinos Kamnitsas, Kyle Singleton, Scott A. Whitmire, Kamala Clark-Swanson, Sara Ranjbar +29 more