An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth. - James P. Boardman; Kanwal K. Bhatia; Serena J. Counsell; Joanna M. Allsop; Olga Kapellou; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2003)

Consistent Groupwise Non-Rigid Registration for Atlas Construction. - Kanwal K. Bhatia; Joseph V. Hajnal; Basant K. Puri; A. David Edwards; Daniel Rueckert (ISBI, 2004)

Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation. - William R. Crum; Oscar Camara 001; Daniel Rueckert; Kanwal K. Bhatia; Mark Jenkinson; Derek L. G. Hill (MICCAI, 2005)

Quantification of Growth and Motion Using Non-rigid Registration. - Daniel Rueckert; Raghavendra Chandrashekara; Paul Aljabar; Kanwal K. Bhatia; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Leigh Dyet; A. David Edwards; Joseph V. Hajnal; Raad Mohiaddin (CVAMIA, 2006)

Analysis of growth in the developing brain using non-rigid registration. - Paul Aljabar; Kanwal K. Bhatia; Joseph V. Hajnal; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Dyet Dyet; A. David Edwards; Daniel Rueckert (ISBI, 2006)

Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. - James P. Boardman; Serena J. Counsell; Daniel Rueckert; Olga Kapellou; Kanwal K. Bhatia; Paul Aljabar; Joseph V. Hajnal; Joanna M. Allsop; Mary A. Rutherford; A. David Edwards (NeuroImage, 2006)

Groupwise Combined Segmentation and Registration for Atlas Construction. - Kanwal K. Bhatia; Paul Aljabar; James P. Boardman; Latha Srinivasan; Maria Murgasova; Serena J. Counsell; Mary A. Rutherford; Joseph V. Hajnal; A. David Edwards; Daniel Rueckert (MICCAI (1), 2007)

Similarity Metrics for Groupwise Non-rigid Registration. - Kanwal K. Bhatia; Joseph V. Hajnal; Alexander Hammers; Daniel Rueckert (MICCAI (2), 2007)

Quantifying brain development in early childhood using segmentation and registration. - Paul Aljabar; Kanwal K. Bhatia; Maria Murgasova; Joseph V. Hajnal; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Leigh Dyet; A. David Edwards; Daniel Rueckert (Image Processing, 2007)

Assessment of brain growth in early childhood using deformation-based morphometry. - Paul Aljabar; Kanwal K. Bhatia; Maria Murgasova; Joseph V. Hajnal; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Leigh Dyet; A. David Edwards; Daniel Rueckert (NeuroImage, 2008)

Hierarchical Manifold Learning. - Kanwal K. Bhatia; Anil Rao; Anthony N. Price; Robin Wolz; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2012)

Localised manifold learning for cardiac image analysis. - Kanwal K. Bhatia; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (Image Processing, 2012)

Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning. - Maria Panayiotou; Andrew P. King; Kanwal K. Bhatia; Richard James Housden; YingLiang Ma; C. Aldo Rinaldi; Jaswinder S. Gill; Michael Cooklin; Mark D. O'Neill; Kawal S. Rhode (STACOM, 2013)

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. - Wenzhe Shi; Jose Caballero; Christian Ledig; Xiahai Zhuang; Wenjia Bai; Kanwal K. Bhatia; Antonio M. Simoes Monteiro de Marvao; Tim Dawes; Declan P. O'Regan; Daniel Rueckert (MICCAI (3), 2013)

Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. - Kanwal K. Bhatia; Anthony N. Price; Wenzhe Shi; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2014)

Manifold Learning for Cardiac Modeling and Estimation Framework. - Radomír Chabiniok; Kanwal K. Bhatia; Andrew P. King; Daniel Rueckert; Nicolas Smith (STACOM, 2014)

Geodesic Patch-Based Segmentation. - Zehan Wang; Kanwal K. Bhatia; Ben Glocker; Antonio M. Simoes Monteiro de Marvao; Tim Dawes; Kazunari Misawa; Kensaku Mori; Daniel Rueckert (MICCAI (1), 2014)

Hierarchical Manifold Learning for Regional Image Analysis. - Kanwal K. Bhatia; Anil Rao; Anthony N. Price; Robin Wolz; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2014)

Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. - Kanwal K. Bhatia; Jose Caballero; Anthony N. Price; Ying Sun 001; Joseph V. Hajnal; Daniel Rueckert (MICCAI (3), 2015)

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes. - Hirohisa Oda; Kanwal K. Bhatia; Masahiro Oda 001; Takayuki Kitasaka; Shingo Iwano; Hirotoshi Honma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Julia A. Schnabel; Kensaku Mori (Computer-Aided Diagnosis, 2017)

Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points. - Alberto Gómez 002; Kanwal K. Bhatia; Sarjana Tharin; James Housden; Nicolas Toussaint; Julia A. Schnabel (FIFI/OMIA@MICCAI, 2017)

TBS: Tensor-Based Supervoxels for Unfolding the Heart. - Hirohisa Oda; Holger R. Roth; Kanwal K. Bhatia; Masahiro Oda 001; Takayuki Kitasaka; Toshiaki Akita; Julia A. Schnabel; Kensaku Mori (MICCAI (1), 2017)

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. - Hirohisa Oda; Holger R. Roth; Kanwal K. Bhatia; Masahiro Oda 001; Takayuki Kitasaka; Shingo Iwano; Hirotoshi Honma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Julia A. Schnabel; Kensaku Mori (Computer-Aided Diagnosis, 2018)

Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data. - Kanwal K. Bhatia; Mark S. Graham; Louise Terry; Ashley Wood; Paris Tranos; Sameer Trikha; Nicolas Jaccard (CoRR, 2019)

Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN. - Juana González-Bueno Puyal; Kanwal K. Bhatia; Patrick Brandao; Omer F. Ahmad; Daniel Toth 001; Rawen Kader; Laurence B. Lovat; Peter Mountney; Danail Stoyanov (MICCAI (6), 2020)

Contrastive Learning for View Classification of Echocardiograms. - Agisilaos Chartsias; Shan Gao; Angela Mumith; Jorge Oliveira; Kanwal K. Bhatia; Bernhard Kainz; Arian Beqiri (ASMUS@MICCAI, 2021)

Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions. - Quok Zong Chong; William J. Knottenbelt; Kanwal K. Bhatia (DGM4MICCAI/DALI@MICCAI, 2021)

Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. - Juana González-Bueno Puyal; Patrick Brandao; Omer F. Ahmad; Kanwal K. Bhatia; Daniel Toth 001; Rawen Kader; Laurence B. Lovat; Peter Mountney; Danail Stoyanov (Medical Image Anal., 2022)

Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI - Proof of Concept for Black-Box Brain-Hemorrhage Classification. - Jack Highton; Quok Zong Chong; Richard Crawley; Julia A. Schnabel; Kanwal K. Bhatia (MICAD, 2023)

Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation. - Jack Highton; Quok Zong Chong; Samuel Finestone; Arian Beqiri; Julia A. Schnabel; Kanwal K. Bhatia (CoRR, 2024)