Kanwal K. Bhatia

According to our database, Kanwal K. Bhatia authored at least 30 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

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

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2023

2022

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, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Medical Image Anal., 2022

2021

Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions.

Quok Zong Chong, William J. Knottenbelt, Kanwal K. Bhatia

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Contrastive Learning for View Classification of Echocardiograms.

Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri

Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

2020

Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN.

Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

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

2018

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images.

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

TBS: Tensor-Based Supervoxels for Unfolding the Heart.

Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points.

Alberto Gómez, Kanwal K. Bhatia, Sarjana Tharin, James Housden, Nicolas Toussaint, Julia A. Schnabel

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes.

Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2015

Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression.

Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Manifold Learning for Cardiac Modeling and Estimation Framework.

Radomír Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith

Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

Super-resolution reconstruction of cardiac MRI using coupled dictionary learning.

Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013

2012

Localised manifold learning for cardiac image analysis.

Kanwal K. Bhatia, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Hierarchical Manifold Learning.

Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2008

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

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

Proceedings of the Medical Imaging 2007: Image Processing, 2007

Similarity Metrics for Groupwise Non-rigid Registration.

Kanwal K. Bhatia, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

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

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

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

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

Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

2005

Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation.

William R. Crum, Oscar Camara, Daniel Rueckert, Kanwal K. Bhatia, Mark Jenkinson, Derek L. G. Hill

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004

Consistent Groupwise Non-Rigid Registration for Atlas Construction.

Kanwal K. Bhatia, Joseph V. Hajnal, Basant K. Puri, A. David Edwards, Daniel Rueckert

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003