Khan M. Iftekharuddin
Orcid: 0000-0001-8316-4163Affiliations:
- Old Dominion University, Department of Electrical and Computer Engineering, Norfolk, VA, USA
According to our database1,
Khan M. Iftekharuddin
authored at least 109 papers
between 2003 and 2024.
Collaborative distances:
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on orcid.org
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on ww2.odu.edu
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Bibliography
2024
Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement.
CoRR, 2024
2023
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets.
J. Aerosp. Inf. Syst., 2023
Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients.
CoRR, 2023
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation.
CoRR, 2023
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information.
IEEE Trans. Neural Networks Learn. Syst., 2022
Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets.
Sensors, 2022
CoRR, 2022
Appl. Artif. Intell., 2022
Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022
SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022
Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
J. Aerosp. Inf. Syst., November, 2021
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory.
Frontiers Artif. Intell., 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information.
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory.
CoRR, 2020
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion.
Biomed. Signal Process. Control., 2020
Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Hybrid Convolutional Neural Network Based-Method for Brain Tumor Classification Using mMRI and WSI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data.
CoRR, 2019
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2018
Novel deep generative simultaneous recurrent model for efficient representation learning.
Neural Networks, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017
Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Constrained versus unconstrained learning in generalized recurrent network for image processing.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Deep learning of texture and structural features for multiclass Alzheimer's disease classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Object recognition using cellular simultaneous recurrent networks and convolutional neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Frenet Frame-Based Generalized Space Curve Representation for Pose-Invariant Classification and Recognition of 3-D Face.
IEEE Trans. Hum. Mach. Syst., 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Efficient feature extraction with simultaneous recurrent network for metric learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
IEEE Trans. Medical Imaging, 2015
Improved Gender Classification Using Nonpathological Gait Kinematics in Full-Motion Video.
IEEE Trans. Hum. Mach. Syst., 2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 2015
Sparse coding based dense feature representation model for hyperspectral image classification.
J. Electronic Imaging, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Shadow Detection of Man-Made Buildings in High-Resolution Panchromatic Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Shoreline extraction from the fusion of LiDAR DEM data and aerial images using mutual information and genetic algrithms.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction.
IEEE J. Biomed. Health Informatics, 2013
IEEE Trans. Biomed. Eng., 2013
Signal Process. Image Commun., 2013
Digit. Signal Process., 2013
Learning topological image transforms using cellular simultaneous recurrent networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking.
Sensors, 2012
Sparse coding for hyperspectral images using random dictionary and soft thresholding.
Proceedings of the Visual Information Processing XXI, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
An information theoretic framework for MRI preprocessing, multiclass feature selection and segmentation of PF tumors.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
IEEE Trans. Neural Networks, 2011
Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI.
IEEE Trans. Inf. Technol. Biomed., 2011
Feature-based glaucomatous progression prediction using scanning laser polarimetry (SLP) data.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Identifying glaucoma with multi-fractal features from optical coherence tomography (OCT).
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Int. J. Comput. Intell. Appl., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Efficacy of texture, shape, and intensity features for robust posterior-fossa tumor segmentation in MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing, 2009
2008
Multifractal modeling, segmentation, prediction, and statistical validation of posterior fossa tumors.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
A biologically-inspired computational model for transformation invariant target recognition.
Proceedings of the International Joint Conference on Neural Networks, 2008
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006
2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2003