| Multiple-model probability hypothesis density filter for tracking maneuvering targets K Punithakumar, T Kirubarajan, A Sinha IEEE Transactions on Aerospace and Electronic Systems 44 (1), 87-98, 2008 | 210 | 2008 |
| Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge VM Campello, P Gkontra, C Izquierdo, C Martín-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021 | 133 | 2021 |
| An EM algorithm for nonlinear state estimation with model uncertainties A Zia, T Kirubarajan, JP Reilly, D Yee, K Punithakumar, S Shirani IEEE Transactions on Signal Processing 56 (3), 921-936, 2008 | 92 | 2008 |
| Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation I Ben Ayed, K Punithakumar, G Garvin, W Romano, S Li Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 91 | 2011 |
| Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure IB Ayed, H Chen, K Punithakumar, I Ross, S Li Medical Image Analysis 16 (1), 87-100, 2012 | 86 | 2012 |
| A sequential Monte Carlo probability hypothesis density algorithm for multitarget track-before-detect K Punithakumar, T Kirubarajan, A Sinha Signal and Data Processing of Small Targets 2005 5913, 587-594, 2005 | 86 | 2005 |
| Regional assessment of cardiac left ventricular myocardial function via MRI statistical features M Afshin, IB Ayed, K Punithakumar, M Law, A Islam, A Goela, T Peters, ... IEEE Transactions on Medical Imaging 33 (2), 481-494, 2013 | 82 | 2013 |
| Left ventricle segmentation in MRI via convex relaxed distribution matching CMS Nambakhsh, J Yuan, K Punithakumar, A Goela, M Rajchl, TM Peters, ... Medical Image Analysis 17 (8), 1010-1024, 2013 | 80 | 2013 |
| ANHIR: automatic non-rigid histological image registration challenge J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ... IEEE Transactions on Medical Imaging 39 (10), 3042-3052, 2020 | 70 | 2020 |
| Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the bhattacharyya measure IB Ayed, H Chen, K Punithakumar, I Ross, S Li 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 59 | 2010 |
| Left ventricle segmentation via graph cut distribution matching I Ben Ayed, K Punithakumar, S Li, A Islam, J Chong Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 55 | 2009 |
| Regional heart motion abnormality detection: An information theoretic approach K Punithakumar, IB Ayed, A Islam, A Goela, IG Ross, J Chong, S Li Medical Image Analysis 17 (3), 311-324, 2013 | 54 | 2013 |
| Multisensor deployment using PCRLBs, incorporating sensor deployment and motion uncertainties K Punithakumar, T Kirubarajan, M Hernandez IEEE Transactions on Aerospace and Electronic Systems 42 (4), 1474-1485, 2006 | 53 | 2006 |
| A GPU-Accelerated Deformable Image Registration Algorithm with Applications to Right Ventricular Segmentation K Punithakumar, P Boulanger, M Noga IEEE Access 5, 20374 - 20382, 2017 | 50 | 2017 |
| Multitarget tracking using probability hypothesis density smoothing N Nadarajah, T Kirubarajan, T Lang, M McDonald, K Punithakumar IEEE Transactions on Aerospace and Electronic Systems 47 (4), 2344-2360, 2011 | 45 | 2011 |
| Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks F Abdolali, J Kapur, JL Jaremko, M Noga, AR Hareendranathan, ... Computers in Biology and Medicine 122, 103871, 2020 | 43 | 2020 |
| A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia AR Hareendranathan, M Mabee, K Punithakumar, M Noga, JL Jaremko International Journal of Computer Assisted Radiology and Surgery 11 (1), 31-42, 2016 | 39 | 2016 |
| A Convex Max-Flow Approach to Distribution Based Figure-Ground Separation K Punithakumar, J Yuan, IB Ayed, S Li, Y Boykov SIAM Journal on Imaging Sciences 5 (4), 1333–1354, 2012 | 36 | 2012 |
| Unsupervised deformable image registration with fully connected generative neural network A Sheikhjafari, M Noga, K Punithakumar, N Ray Medical Imaging with Deep Learning (MIDL), 2018 | 34 | 2018 |
| Toward automatic diagnosis of hip dysplasia from 2D ultrasound AR Hareendranathan, D Zonoobi, M Mabee, D Cobzas, K Punithakumar, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 34 | 2017 |
Michelle NogaProfessor of Radiology and Diagnostic Imaging, University of AlbertaVerified email at ualberta.ca
