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Nagesh Subbanna
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The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
53272014
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
M Shah, Y Xiao, N Subbanna, S Francis, DL Arnold, DL Collins, T Arbel
Medical image analysis 15 (2), 267-282, 2011
2152011
Supervised machine learning tools: a tutorial for clinicians
LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ...
Journal of Neural Engineering 17 (6), 062001, 2020
922020
Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes
NK Subbanna, D Precup, DL Collins, T Arbel
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
812013
Dual Gabor frames: theory and computational aspects
T Werther, YC Eldar, NK Subbanna
IEEE Transactions on Signal Processing 53 (11), 4147-4158, 2005
652005
Probabilistic multiple sclerosis lesion classification based on modeling regional intensity variability and local neighborhood information
R Harmouche, NK Subbanna, DL Collins, DL Arnold, T Arbel
IEEE transactions on Biomedical Engineering 62 (5), 1281-1292, 2014
512014
Iterative multilevel MRF leveraging context and voxel information for brain tumour segmentation in MRI
N Subbanna, D Precup, T Arbel
Proceedings of the IEEE conference on computer vision and pattern …, 2014
492014
MS lesion segmentation using Markov Random Fields
N Subbanna, M Shah, SJ Francis, S Narayanan, DL Collins, DL Arnold, ...
proceedings of international Conference on medical image computing and …, 2009
462009
Stroke lesion segmentation in FLAIR MRI datasets using customized Markov random fields
NK Subbanna, D Rajashekar, B Cheng, G Thomalla, J Fiehler, T Arbel, ...
Frontiers in neurology 10, 446260, 2019
282019
Probabilistic gabor and markov random fields segmentation of brain tumours in mri volumes
N Subbanna, T Arbel
Proc MICCAI Brain Tumor Segmentation Challenge (BRATS), 28-31, 2012
282012
IMaGe: iterative multilevel probabilistic graphical model for detection and segmentation of multiple sclerosis lesions in brain MRI
N Subbanna, D Precup, D Arnold, T Arbel
Information Processing in Medical Imaging: 24th International Conference …, 2015
232015
An analysis of the vulnerability of two common deep learning-based medical image segmentation techniques to model inversion attacks
N Subbanna, M Wilms, A Tuladhar, ND Forkert
Sensors 21 (11), 3874, 2021
152021
Lesion detection, segmentation and prediction in multiple sclerosis clinical trials
A Doyle, C Elliott, Z Karimaghaloo, N Subbanna, DL Arnold, T Arbel
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
122018
Existence conditions for discrete noncanonical multiwindow Gabor schemes
NK Subbanna, YY Zeevi
IEEE transactions on signal processing 55 (10), 5113-5117, 2007
92007
Macromolecular sequence analysis using multiwindow Gabor representations
NK Subbanna, YY Zeevi
Signal processing 88 (4), 877-890, 2008
82008
Efficient Gabor expansion using non minimal dual Gabor windows
NK Subbanna, YC Eldar
Proceedings of the 2004 11th IEEE International Conference on Electronics …, 2004
52004
A fast algorithm for calculating the dual Gabor window with integer oversampling
NK Subbanna, YC Eldar
2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel …, 2004
52004
Understanding privacy risks in typical deep learning models for medical image analysis
N Subbanna, A Tuladhar, M Wilms, ND Forkert
Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021
32021
Oversampling of the generalized multiwindow Gabor scheme
NK Subbanna, YC Eldar, YY Zeevi
submitted to SampTA 5, 2005
32005
Estimation of breast density from human mammograms using u-nets
S Yellari, JP Dharmarajan, SS Karve, DK Vijaykumar, N Subbanna
2022 6th International Conference On Computing, Communication, Control And …, 2022
22022
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