World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
13738
World Ranking
2950
National Ranking
188

Best Publications

  • Fast free-form deformation using graphics processing units

    Marc Modat;Gerard R. Ridgway;Zeike A. Taylor;Manja Lehmann

  • NiftyNet: a deep-learning platform for medical imaging

    Eli Gibson;Wenqi Li;Carole H. Sudre;Lucas Fidon

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Weakly-supervised convolutional neural networks for multimodal image registration.

    Yipeng Hu;Yipeng Hu;Marc Modat;Eli Gibson;Wenqi Li

  • Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study.

    Michela Antonelli;Rose S Penfold;Jordi Merino;Carole H Sudre

  • Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies.

    Ninon Burgos;M. Jorge Cardoso;Kris Thielemans;Marc Modat

  • Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

    M. Jorge Cardoso;Marc Modat;Robin Wolz;Andrew Melbourne

  • Global image registration using a symmetric block-matching approach

    Marc Modat;David M. Cash;Pankaj Daga;Gavin P. Winston

  • The importance of appropriate partial volume correction for PET quantification in Alzheimer's disease.

    Benjamin A. Thomas;Kjell Erlandsson;Marc Modat;Lennart Thurfjell

  • An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease

    Hubert M. J. Fonteijn;Hubert M. J. Fonteijn;Marc Modat;Matthew J. Clarkson;Matthew J. Clarkson;Josephine Barnes

  • STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation

    M. Jorge Cardoso;Kelvin Leung;Marc Modat;Shiva Keihaninejad

  • Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment

    Jonathan Young;Marc Modat;Manuel J. Cardoso;Alex Mendelson

  • Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations.

    Jonathan D. Rohrer;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat;Marc Modat;Sebastien Ourselin;Sebastien Ourselin

  • Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.

    Catarina Veiga;Jamie McClelland;Syed Moinuddin;Ana Lourenço

  • A comparison of voxel and surface based cortical thickness estimation methods

    Matthew J. Clarkson;Manuel Jorge Cardoso;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat

  • Brain MAPS: An automated, accurate and robust brain extraction technique using a template library

    Kelvin K. Leung;Josephine Barnes;Marc Modat;Gerard R. Ridgway

  • A Survey of Methods for 3D Histology Reconstruction.

    Jonas Pichat;Juan Eugenio Iglesias;Tarek A. Yousry;Sébastien Ourselin

  • Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app.

    Carole H. Sudre;Carole H. Sudre;Karla A. Lee;Mary Ni Lochlainn;Thomas Varsavsky

  • Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

    Zhoubing Xu;Christopher P. Lee;Mattias P. Heinrich;Marc Modat

  • Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults.

    Maria Beatrice Zazzara;Maria Beatrice Zazzara;Rose S Penfold;Amy L Roberts;Karla A Lee

  • Label-driven weakly-supervised learning for multimodal deformarle image registration

    Yipeng Hu;Marc Modat;Eli Gibson;Nooshin Ghavami

  • The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease

    Shiva Keihaninejad;Natalie S. Ryan;Ian B. Malone;Marc Modat

  • Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

    Mostafa Mehdipour Ghazi;Mads Nielsen;Akshay Pai;M Jorge Cardoso

  • aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data.

    Christian J. Niedworok;Christian J. Niedworok;Alexander P. Y. Brown;Alexander P. Y. Brown;M. Jorge Cardoso;Pavel Osten

  • NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics

    Stian Flage Johnsen;Zeike A. Taylor;Matthew J. Clarkson;John H. Hipwell

  • Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.

    Catarina Veiga;Ana Mónica Lourenço;Syed Mouinuddin;Marcel van Herk

  • AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI

    M. Jorge Cardoso;Andrew Melbourne;Giles S. Kendall;Marc Modat

  • A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images

    Lianghao Han;John H. Hipwell;Bjorn Eiben;Dean Barratt

  • Lung registration using the NiftyReg package

    Marc Modat;Jamie McClelland

  • Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion

    Da Ma;Manuel J. Cardoso;Marc Modat;Nick Powell

  • Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge

    David M. Cash;Chris Frost;Leonardo O. Iheme;Devrim Ünay

  • Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping

    Jon O. Cleary;Marc Modat;Francesca C. Norris;Francesca C. Norris;Anthony N. Price

  • Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.

    Albert K. Hoang Duc;Gemma Eminowicz;Ruheena Mendes;Swee-Ling Wong

  • Using manifold learning for atlas selection in multi-atlas segmentation

    Albert K. Hoang Duc;Marc Modat;Kelvin K. Leung;M. Jorge Cardoso

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
Nick C. Fox
Nick C. Fox University College London
Jonathan M. Schott
Jonathan M. Schott University College London
Tom Vercauteren
Tom Vercauteren King's College London
Tim D. Spector
Tim D. Spector King's College London
Benjamin J. Murray
Benjamin J. Murray University of Leeds
David J. Hawkes
David J. Hawkes University College London
Martin N. Rossor
Martin N. Rossor University College London
David L. Thomas
David L. Thomas Johns Hopkins University
Josephine Barnes
Josephine Barnes University College London

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