Kanwal K. Bhatia

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 11

Top Topics

Manifold Learning

Image Classification

Dictionary Learning

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Jack Highton, Quok Zong Chong, Samuel Finestone, Arian Beqiri, Julia A. Schnabel, Kanwal K. Bhatia
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation. CoRR (2024)
Juana González-Bueno Puyal, Patrick Brandao, Omer F. Ahmad, Kanwal K. Bhatia, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov
Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Medical Image Anal. 82 (2022)
Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI (2021)
Quok Zong Chong, William J. Knottenbelt, Kanwal K. Bhatia
Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions. DGM4MICCAI/DALI@MICCAI (2021)
Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
Contrastive Learning for View Classification of Echocardiograms. CoRR (2021)
Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN. MICCAI (6) (2020)
Kanwal K. Bhatia, Mark S. Graham, Louise Terry, Ashley Wood, Paris Tranos, Sameer Trikha, Nicolas Jaccard
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data. CoRR (2019)
Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. Medical Imaging: Computer-Aided Diagnosis (2018)
Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes. Medical Imaging: Computer-Aided Diagnosis (2017)
Alberto Gómez, Kanwal K. Bhatia, Sarjana Tharin, James Housden, Nicolas Toussaint, Julia A. Schnabel
Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points. FIFI/OMIA@MICCAI (2017)
Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori
TBS: Tensor-Based Supervoxels for Unfolding the Heart. MICCAI (1) (2017)
Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. MICCAI (3) (2015)
Zehan Wang, Kanwal K. Bhatia, Ben Glocker, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
Geodesic Patch-Based Segmentation. MICCAI (1) (2014)
Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, Daniel Rueckert
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. ISBI (2014)
Radomír Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith
Manifold Learning for Cardiac Modeling and Estimation Framework. STACOM (2014)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
Hierarchical Manifold Learning for Regional Image Analysis. IEEE Trans. Medical Imaging 33 (2) (2014)
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
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. MICCAI (3) (2013)
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
Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning. STACOM (2013)
Kanwal K. Bhatia, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Localised manifold learning for cardiac image analysis. Medical Imaging: Image Processing (2012)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
Hierarchical Manifold Learning. MICCAI (1) (2012)
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
Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage 39 (1) (2008)
Kanwal K. Bhatia, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert
Similarity Metrics for Groupwise Non-rigid Registration. MICCAI (2) (2007)
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
Groupwise Combined Segmentation and Registration for Atlas Construction. MICCAI (1) (2007)
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
Quantifying brain development in early childhood using segmentation and registration. Medical Imaging: Image Processing (2007)
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
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. NeuroImage 32 (1) (2006)
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
Quantification of Growth and Motion Using Non-rigid Registration. CVAMIA (2006)
Paul Aljabar, Kanwal K. Bhatia, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Dyet Dyet, A. David Edwards, Daniel Rueckert
Analysis of growth in the developing brain using non-rigid registration. ISBI (2006)
William R. Crum, Oscar Camara, Daniel Rueckert, Kanwal K. Bhatia, Mark Jenkinson, Derek L. G. Hill
Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation. MICCAI (2005)
Kanwal K. Bhatia, Joseph V. Hajnal, Basant K. Puri, A. David Edwards, Daniel Rueckert
Consistent Groupwise Non-Rigid Registration for Atlas Construction. ISBI (2004)
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
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth. MICCAI (1) (2003)