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
Structural and optical properties of pure and copper doped zinc oxide nanoparticles
M Sajjad, I Ullah, MI Khan, J Khan, MY Khan, MT Qureshi
Results in Physics 9, 1301-1309, 2018
Real-time epileptic seizure detection using EEG
LS Vidyaratne, KM Iftekharuddin
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017
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
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
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
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
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
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