Khan Iftekharuddin
Khan Iftekharuddin
Professor of Electrical & Computer Engineering, Old Dominion University
Verified email at - Homepage
Cited by
Cited by
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
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
Multifractal texture estimation for detection and segmentation of brain tumors
A Islam, SMS Reza, KM Iftekharuddin
IEEE transactions on biomedical engineering 60 (11), 3204-3215, 2013
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
Fractal-based brain tumor detection in multimodal MRI
KM Iftekharuddin, J Zheng, MA Islam, RJ Ogg
Applied Mathematics and Computation 207 (1), 23-41, 2009
Real-time epileptic seizure detection using EEG
LS Vidyaratne, KM Iftekharuddin
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017
Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI
S Ahmed, KM Iftekharuddin, A Vossough
IEEE transactions on information technology IN BIOMEDICINE 15 (2), 206-213, 2011
Survey on deep neural networks in speech and vision systems
M Alam, MD Samad, L Vidyaratne, A Glandon, KM Iftekharuddin
Neurocomputing 417, 302-321, 2020
Fractal analysis of tumor in brain MR images
KM Iftekharuddin, W Jia, R Marsh
Machine Vision and Applications 13, 352-362, 2003
Statistical analysis of fractal-based brain tumor detection algorithms
JM Zook, KM Iftekharuddin
Magnetic resonance imaging 23 (5), 671-678, 2005
A survey of perceptual image processing methods
A Beghdadi, MC Larabi, A Bouzerdoum, KM Iftekharuddin
Signal Processing: Image Communication 28 (8), 811-831, 2013
The fractal geometry of the brain
A Di Ieva
Springer 22, 585, 2016
Deep recurrent neural network for seizure detection
L Vidyaratne, A Glandon, M Alam, KM Iftekharuddin
2016 International Joint Conference on Neural Networks (IJCNN), 1202-1207, 2016
Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images
L Pei, L Vidyaratne, MM Rahman, KM Iftekharuddin
Scientific Reports 10 (1), 19726, 2020
Bearing with wireless self-powered sensor unit
ML French, KM Iftekharuddin, DR Leeper, RP Samy, WR Hwang
US Patent 6,535,135, 2003
Multi-class abnormal brain tissue segmentation using texture
S Reza, K Iftekharuddin
Multimodal Brain Tumor Segmentation 38 (2), 38-42, 2013
Novel fractal feature-based multiclass glaucoma detection and progression prediction
PY Kim, KM Iftekharuddin, PG Davey, M Tóth, A Garas, G Holló, ...
ieee journal of biomedical and health informatics 17 (2), 269-276, 2013
Deep learning of texture and structural features for multiclass Alzheimer's disease classification
CV Dolph, M Alam, Z Shboul, MD Samad, KM Iftekharuddin
2017 International Joint Conference on Neural Networks (IJCNN), 2259-2266, 2017
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