Ben Glocker

43.7k citations

151 papers · 10.1k indexed · 7 hit papers · h-index 40

Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 16
Computer Vision and Pattern Recognition top 0.1%
- Medical Image Segmentation Techniques 43
- Advanced Neural Network Applications 21
- Advanced Vision and Imaging 17
Neurology top 0.5%
Radiology, Nuclear Medicine and Imaging top 0.2%
- Radiomics and Machine Learning in Medical Imaging 32
Geology top 0.5%
Artificial Intelligence
- AI in cancer detection 22
Aerospace Engineering
- Robotics and Sensor-Based Localization 19
Biomedical Engineering
- Medical Imaging and Analysis 18

Co-authors: Daniel Rueckert Konstantinos Kamnitsas Christian Ledig Virginia Newcombe David Menon Antonio Criminisi Joanna Simpson Andrew D. Kane
Cited by: Health Informatics Computer Vision and Pattern Recognition Neurology
Journals: Medical Image Analysis (16 papers)IEEE Transactions on Medical Imaging (11 papers)The Lancet Digital Health (4 papers)
Partner nations: United Kingdom United States Germany

In The Last Decade

Ben Glocker

147 papers receiving 9.8k citations

Hit Papers

7 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2019 Medical Image Analysis
2018 Medical Image Analysis
2017 IEEE Transactions on Medical Imaging
2016 The International Journal of Robotics Research
2016 Medical Image Analysis
2015 ElasticFusion: Dense SLAM Without A Pose Graph
2013 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

Peers

Countries citing papers authored by Ben Glocker

Since Specialization

Citations

This map shows the geographic impact of Ben Glocker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ben Glocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Glocker more than expected).

Fields of papers citing papers by Ben Glocker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Glocker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ben Glocker. The network helps show where Ben Glocker may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ben Glocker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Glocker Line = papers co-authored together Ben Glocker links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Image-To-Tree with Recursive Prompting 兼治鳥越,Matthew Sinclair,Ying Bai,Ben Glocker,Michiel Schaap	2024	2
2	AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic Review JMIR Research Protocols ·Aditya U. Kale,Xinke Li,A. A. Vasileva,Henry David Jeffry Hogg,Elliot Catherine,Ben Glocker,Su Golder,Justin Waring,Xiaoxuan Liu,David Moore,Alastair K. Denniston	2024	1
3	Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race SHILAP Revista de lepidopterología ·金容薫,Hari Trivedi,Mary S. Newell,Ravi G. Patel,M. Engelhard,Elvira DiFabio,Ben Glocker	2024	1
4	Robust prostate disease classification using transformers with discrete representations International Journal of Computer Assisted Radiology and Surgery ·Karen Mei Er Lim,Mathias Winkler,Andrea Rockall,Ben Glocker	2024	1
5	What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning Melissa D. McCradden,Roberta Densa,Shalmali Joshi,厳関本,Kagiso Ndlovu,Ben Glocker,Gabriel Maicas,Xiaoxuan Liu,Mjaye Mazwi,Byong-Dol Seo,Lauren Oakden‐Rayner,Myrtede Alfred,Б О Будников,G. BOGfi,Anna Goldenberg	2023	11
6	Use of Support Vector Machines Approach via ComBat Harmonized Diffusion Tensor Imaging for the Diagnosis and Prognosis of Mild Traumatic Brain Injury: A CENTER-TBI Study Journal of Neurotrauma ·Bernard Lamy Atochem,Stefan Winzeck,Evgenios Kornaropoulos,Sophie Richter,Ildikó K. Hankó,Marta Correia,Ben Glocker,Guy Williams,Anne Vik,Jussi P. Posti,Asta K. Håberg,林文俭,Pieter‐Jan Guns,Arnold J. den Dekker,David Menon,Jan Sijbers,Pieter Van Dyck,Virginia Newcombe	2023	10
7	Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload Journal of Breast Imaging ·Annie Ng,Ben Glocker,Cary Oberije,Panosh,Nisha Sharma,Jonathan J. James,Éva Ambrózay,F. Mirzhjehgheshlagh,Jian-Yao He,Ruizhe Cui,Elvira DiFabio	2023	17
8	Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks Medical Image Analysis ·Matthew Sinclair,Andreas Schuh,G. van Houwelingen,Kersten Petersen,Ying Bai,兼治鳥越,Michiel Schaap,Ben Glocker	2022	18
9	Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study BMJ Open ·Sule J. O,Linda Wedlake,Chiara Iorio,Xingfeng Li,Christina Messiou,Ben Glocker,Tara Barwick,Xiaoying Peng,Simon Doran,Martin O. Leach,Dow‐Mu Koh,Martin Kaiser,Stefan Winzeck,Talha Qaiser,Eric O. Aboagye,Andrea Rockall	2022	3
10	Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study EBioMedicine ·Daniel Whitehouse,Miguel Monteiro,Endre Czeiter,Thijs Vande Vyvere,Fernanda Valério,Zheng Ye,Krisztina Amrein,Konstantinos Kamnitsas,Haiyan Xu,Zhihui Yang,Jan Verheyden,Tilak Das,Evgenios Kornaropoulos,Ewout W. Steyerberg,Andrew I.R. Maas,Kevin Wang,András Büki,Ben Glocker,David Menon,Virginia Newcombe	2021	30
11	Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank Scientific Reports ·Giacomo Tarroni,Wenjia Bai,Ozan Oktay,Andreas Schuh,Hideaki Suzuki,Ben Glocker,Paul M. Matthews,Daniel Rueckert	2020	16
12	Deep Structural Causal Models for Tractable Counterfactual Inference Spiral (Imperial College London) ·Nick Pawlowski,Daniel C. Castro,Ben Glocker	2020	3
13	Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI American Journal of Neuroradiology ·Stefan Winzeck,Steven J. T. Mocking,Saba Shreeram P,Mark J.R.J. Bouts,Elissa C. McIntosh,Lorena Espina-Romero,政登鈴木,Aurauma Chutinet,W. Taylor Kimberly,William A. Copen,Pamela W. Schaefer,Hakan Ay,Aneesh B. Singhal,Konstantinos Kamnitsas,Ben Glocker,A. Gregory Sorensen,Ona Wu	2019	38
14	Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training arXiv (Cornell University) ·L. N. Maulida,Luis Muñoz-González,Leslie Kanthan,Ben Glocker,Emil Lupu	2019	1
15	Learning-Based Quality Control for Cardiac MR Images IEEE Transactions on Medical Imaging ·Giacomo Tarroni,Ozan Oktay,Wenjia Bai,Andreas Schuh,Hideaki Suzuki,Jonathan Passerat‐Palmbach,Antonio de Marvao,Declan P. O’Regan,Stuart A. Cook,Ben Glocker,Paul M. Matthews,Daniel Rueckert	2018	37
16	Spectral Graph Convolutions on Population Graphs for Disease Prediction arXiv (Cornell University) ·Sarah Parisot,Sofia Ira Ktena,Enzo Ferrante,Matthew Lee,مصطفى طنطاوی,Ben Glocker,Daniel Rueckert	2017	2
17	Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentationbreakdown → IEEE Transactions on Medical Imaging ·Ozan Oktay,Enzo Ferrante,Konstantinos Kamnitsas,Mattias P. Heinrich‬,Wenjia Bai,José Caballero,Stuart A. Cook,Antonio de Marvao,Timothy J. W. Dawes,Declan P. O’Regan,Bernhard Kainz,Ben Glocker,Daniel Rueckert	2017	438
18	Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Imagesbreakdown → Jamie Shotton,Ben Glocker,Christopher Zach,Shahram Izadi,Antonio Criminisi,Andrew Fitzgibbon	2013	546
19	Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations Lecture notes in computer science ·Ben Glocker,Darko Zikic,Ender Konukoğlu,David R. Haynor,Antonio Criminisi	2013	101
20	Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues Biochemical Pharmacology ·Darko Zikic,Ben Glocker,Ender Konukoğlu,Jamie Shotton,Antonio Criminisi,gcodeur,Çağatay Demiralp,Owen Thomas,Tilak Das,R. Jena,Stephen J. Price	2012	42

About Ben Glocker

Ben Glocker is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 151 papers that have together received 10.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (43 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), AI in cancer detection (22 papers), Advanced Neural Network Applications (21 papers), Robotics and Sensor-Based Localization (19 papers), Medical Imaging and Analysis (18 papers), Advanced Vision and Imaging (17 papers) and Artificial Intelligence in Healthcare and Education (16 papers). The work is most often cited by research in Health Informatics (431 citations), Computer Vision and Pattern Recognition (5.0k citations) and Neurology (1.5k citations). Ben Glocker has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Rueckert, Konstantinos Kamnitsas, Christian Ledig, Virginia Newcombe, David Menon, Antonio Criminisi, Joanna Simpson, Andrew D. Kane, Ozan Oktay and Bernhard Kainz. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, The Lancet Digital Health, NeuroImage and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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