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ORCIDKanwal K. Bhatia
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2020 – today
- 2024
[i3]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 abs/2406.19557 (2024)- 2022
- [j4]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: 102625 (2022) - 2021
- [c23]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: 149-158 - [c22]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: 235-242 - [i2]Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri:
Contrastive Learning for View Classification of Echocardiograms. CoRR abs/2108.03124 (2021) - 2020
- [c21]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: 295-305
2010 – 2019
- 2019
- [i1]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 abs/1907.05164 (2019) - 2018
- [c20]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: 1057502 - [e4]Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga:
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - 2017
- [c19]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: 101341D - [c18]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: 33-41 - [c17]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: 681-689 - [e3]Maria A. Zuluaga, Kanwal K. Bhatia, Bernhard Kainz, Mehdi Hedjazi Moghari, Danielle F. Pace:
Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10129, 2017, ISBN 978-3-319-52279-1 [contents] - [e2]M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer:
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10555, Springer 2017, ISBN 978-3-319-67563-3 [contents] - 2015
- [c16]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: 510-518 - [e1]Kanwal K. Bhatia, Herve Lombaert:
Machine Learning Meets Medical Imaging - First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9487, Springer 2015, ISBN 978-3-319-27928-2 [contents] - 2014
- [j3]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): 444-461 (2014) - [c15]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: 947-950 - [c14]Radomír Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith:
Manifold Learning for Cardiac Modeling and Estimation Framework. STACOM 2014: 284-294 - [c13]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: 666-673 - 2013
- [c12]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: 9-16 - [c11]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: 126-134 - 2012
- [c10]Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert:
Hierarchical Manifold Learning. MICCAI (1) 2012: 512-519 - [c9]Kanwal K. Bhatia, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Localised manifold learning for cardiac image analysis. Medical Imaging: Image Processing 2012: 83140H
2000 – 2009
- 2008
- [j2]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): 348-358 (2008) - 2007
- [c8]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: 532-540 - [c7]Kanwal K. Bhatia, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert:
Similarity Metrics for Groupwise Non-rigid Registration. MICCAI (2) 2007: 544-552 - [c6]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: 65120O - 2006
- [j1]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): 70-78 (2006) - [c5]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: 49-60 - [c4]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: 201-204 - 2005
- [c3]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: 99-106 - 2004
- [c2]Kanwal K. Bhatia, Joseph V. Hajnal, Basant K. Puri, A. David Edwards, Daniel Rueckert:
Consistent Groupwise Non-Rigid Registration for Atlas Construction. ISBI 2004: 908-911 - 2003
- [c1]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: 697-704
Coauthor Index
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