World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
12147
World Ranking
4800
National Ranking
287

Overview

Paul Aljabar is affiliated with King's College London in the United Kingdom, where their research activity spans multiple disciplines within medicine and computer science. Their work focuses particularly on radiology, nuclear medicine, and imaging, with additional engagement in epidemiology, cardiology and cardiovascular medicine, oncology, and biomedical engineering.

Their scientific interests cover key topics such as liver disease diagnosis and treatment, radiomics and machine learning applications in medical imaging, pancreatic and hepatic oncology research, COVID-19 diagnosis using artificial intelligence, advanced MRI techniques and applications, advanced X-ray and CT imaging, as well as cardiovascular disease and adiposity.

Paul Aljabar has contributed to numerous peer-reviewed publications, including:

  • Pancreas MRI Segmentation Into Head, Body, and Tail Enables Regional Quantitative Analysis of Heterogeneous Disease, 2022, Journal of Magnetic Resonance Imaging
  • Pancreas MRI segmentation into head, body, and tail enables regional quantitative analysis of heterogeneous disease, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Quantitative digital pathology enables automated and quantitative assessment of inflammatory activity in patients with autoimmune hepatitis, 2024, Journal of Pathology Informatics
  • Su1944: AI MODELS FOR QC AND NON-MUCOSAL FEATURE DETECTION IN HISTOLOGICAL PINCH BIOPSIES OF INFLAMMATORY BOWEL DISEASE, 2025, Gastroenterology
  • Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation, 2023, Magnetic Resonance Imaging

Their frequent coauthors include Andrew P. King, Alexandre Triay Bagur, Caitlin Langford, Dylan Windell, and Robert Goldin.

Paul Aljabar's research has appeared repeatedly in prominent venues including Gastroenterology, the Proceedings of the International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition, bioRxiv, Radiotherapy and Oncology, and arXiv.

Best Publications

  • Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy

    Paul Aljabar;Rolf A. Heckemann;Alexander Hammers;Joseph V. Hajnal

  • Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.

    Rolf A. Heckemann;Joseph V. Hajnal;Paul Aljabar;Daniel Rueckert

  • Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease

    Katherine R. Gray;Paul Aljabar;Rolf A. Heckemann;Alexander Hammers

  • Diffeomorphic registration using b-splines

    Daniel Rueckert;Paul Aljabar;Rolf A. Heckemann;Joseph V. Hajnal

  • Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain

    Antonios Makropoulos;Ioannis S Gousias;Christian Ledig;Paul Aljabar

  • 3-D In Vitro Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles

    Kirsten Christensen-Jeffries;Jemma Brown;Paul Aljabar;Mengxing Tang

  • Rich-club organization of the newborn human brain

    Gareth Ball;Paul Aljabar;Sally Zebari;Nora Tusor

  • Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression

    Ahmed Serag;Paul Aljabar;Gareth Ball;Serena J. Counsell

  • Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

    Tim Lustberg;Johan van Soest;Mark Gooding;Devis Peressutti

  • A dynamic 4D probabilistic atlas of the developing brain

    Maria Kuklisova-Murgasova;Paul Aljabar;Latha Srinivasan;Serena J. Counsell

  • LEAP: Learning embeddings for atlas propagation

    Robin Wolz;Paul Aljabar;Joseph V. Hajnal;Alexander Hammers

  • Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry

    James P. Boardman;Serena J. Counsell;Daniel Rueckert;Olga Kapellou

  • Early development of structural networks and the impact of prematurity on brain connectivity

    Dafnis Batalle;Emer J. Hughes;Hui Zhang;J.-Donald Tournier

  • An evaluation of four automatic methods of segmenting the subcortical structures in the brain.

    Kolawole Oluwole Babalola;Brian Patenaude;Paul Aljabar;Julia A. Schnabel

  • Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.

    Jinzhong Yang;Harini Veeraraghavan;Samuel G. Armato;Keyvan Farahani

  • Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.

    Rolf A. Heckemann;Shiva Keihaninejad;Paul Aljabar;Daniel Rueckert

  • Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.

    Katherine R. Gray;Robin Wolz;Rolf A. Heckemann;Paul Aljabar

  • Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

    Lisanne V van Dijk;Lisa Van den Bosch;Paul Aljabar;Devis Peressutti

  • Regional growth and atlasing of the developing human brain

    Antonios Makropoulos;Paul Aljabar;Robert Wright;Britta Hüning

  • Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices

    Bernhard Kainz;Markus Steinberger;Wolfgang Wein;Maria Kuklisova-Murgasova

  • A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm

    J P Boardman;C Craven;S Valappil;S J Counsell

Frequent Co-Authors

Daniel Rueckert
Daniel Rueckert Technical University of Munich
Joseph V. Hajnal
Joseph V. Hajnal King's College London
Alexander Hammers
Alexander Hammers King's College London
Andrew P. King
Andrew P. King King's College London
Christian Ledig
Christian Ledig University of Bamberg
Julia A. Schnabel
Julia A. Schnabel King's College London
David N. Kennedy
David N. Kennedy University of Massachusetts Chan Medical School
Stephen M. Smith
Stephen M. Smith University of Oxford
Timothy F. Cootes
Timothy F. Cootes University of Manchester
Mark Jenkinson
Mark Jenkinson University of Oxford

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