Automated tracking and classification of infrared images. - Jahangheer Shaik; Khan M. Iftekharuddin (IJCNN, 2003)

Fractal analysis of tumor in brain MR images. - Khan M. Iftekharuddin; Wei Jia; Ronald Marsh (Mach. Vis. Appl., 2003)

Reinforcement learning in multiresolution object recognition. - Khan M. Iftekharuddin; Taufiq Widjanarko (IJCNN, 2004)

A chaos synchronization-based dynamic vision model for image segmentation. - Hanif Azhar; Khan Iftekharuddin; Robert Kozma 001 (IJCNN, 2005)

Automatic brain tumor detection in MRI: methodology and statistical validation. - Khan M. Iftekharuddin; Mohammad A. Islam 002; Jahangheer Shaik; Carlos Parra; Robert J. Ogg (Image Processing, 2005)

Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates. - Atiq Islam; Khan M. Iftekharuddin; David J. Russomanno (BIOCOMP, 2006)

Multiresolution Object Recognition Using Dual Heuristic Programming. - Faraz Siddiqui; Khan M. Iftekharuddin (IJCNN, 2006)

A biologically-inspired computational model for transformation invariant target recognition. - Khan M. Iftekharuddin; Yaqin Li (IJCNN, 2008)

Class specific gene expression estimation and classification in microarray data. - Atiq Islam; Khan M. Iftekharuddin; E. Olusegun George (IJCNN, 2008)

Dialog Act classification using acoustic and discourse information of MapTask Data. - Fatema N. Julia; Khan M. Iftekharuddin (IJCNN, 2008)

Multifractal modeling, segmentation, prediction, and statistical validation of posterior fossa tumors. - Atiq Islam; Khan M. Iftekharuddin; Robert J. Ogg; Fred H. Laningham; Bhuvaneswari Sivakumar (Computer-Aided Diagnosis, 2008)

Binary image registration using cellular simultaneous recurrent networks. - Keith Anderson; Khan M. Iftekharuddin; Eddie White; Paul Kim (CIMSIVP, 2009)

Tutorial CIMSVP-T advanced image processing. - Khan M. Iftekharuddin (CIMSIVP, 2009)

Recurrent network-based face recognition using image sequences. - Yong Ren; Khan M. Iftekharuddin; William E. White (CIMSIVP, 2009)

Pose invariant face recognition using Cellular Simultaneous Recurrent Networks. - Yong Ren; Keith Anderson; Khan M. Iftekharuddin; Paul Kim; William E. White (IJCNN, 2009)

Efficacy of texture, shape, and intensity features for robust posterior-fossa tumor segmentation in MRI. - S. Ahmed; Khan M. Iftekharuddin; Robert J. Ogg; Fred H. Laningham (Computer-Aided Diagnosis, 2009)

Fractal-based brain tumor detection in multimodal MRI. - Khan M. Iftekharuddin; Jing Zheng; Mohammad A. Islam 002; Robert J. Ogg (Appl. Math. Comput., 2009)

CNS Tumor Prediction Using Gene Expression Data Part I. - Atiq Islam; Khan M. Iftekharuddin; E. Olusegun George; David J. Russomanno (Encyclopedia of Artificial Intelligence, 2009)

CNS Tumor Prediction Using Gene Expression Data Part II. - Atiq Islam; Khan M. Iftekharuddin; E. Olusegun George; David J. Russomanno (Encyclopedia of Artificial Intelligence, 2009)

Improved learning in grid-to-grid neural network via clustering. - William E. White; Khan M. Iftekharuddin; Abdesselam Bouzerdoum (IJCNN, 2010)

Dialog Act Classification Using Acoustic and Discourse Information of Maptask Data. - Fatema N. Julia; Khan M. Iftekharuddin; Atiq Islam (Int. J. Comput. Intell. Appl., 2010)

Guest Editorial. - Khan Mohammad Iftekharuddin; Mohammed Nazrul Islam; Mohammad Ataul Karim; Mohammad Abdus Salam (J. Commun., 2010)

Multiresolution texture models for brain tumor segmentation in MRI. - Khan M. Iftekharuddin; Shaheen Ahmed; Jakir Hossen (EMBC, 2011)

GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals. - Kenneth L. Rice; Tarek M. Taha; Khan M. Iftekharuddin; Keith Anderson; Teddy Salan (IJCNN, 2011)

Identifying glaucoma with multi-fractal features from optical coherence tomography (OCT). - Pinakin Gunvant Davey; P. Y. Kim; Khan M. Iftekharuddin; Edward A. Essock (Computer-Aided Diagnosis, 2011)

Feature-based glaucomatous progression prediction using scanning laser polarimetry (SLP) data. - P. Y. Kim; Khan M. Iftekharuddin; Pinakin Gunvant Davey; Márta Tóth; Anita Garas; Gabor Holló; Edward A. Essock (Computer-Aided Diagnosis, 2011)

Gene expression based prototype for automatic tumor prediction. - Atiq Islam; Khan M. Iftekharuddin; E. Olusegun George (BMC Bioinform., 2011)

Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI. - Shaheen Ahmed; Khan M. Iftekharuddin; Arastoo Vossough (IEEE Trans. Inf. Technol. Biomed., 2011)

Transformation Invariant On-Line Target Recognition. - Khan M. Iftekharuddin (IEEE Trans. Neural Networks, 2011)

An information theoretic framework for MRI preprocessing, multiclass feature selection and segmentation of PF tumors. - Shaheen Ahmed; Khan M. Iftekharuddin; E. Olusegun George (ACSCC, 2012)

Large pose invariant face recognition using feature-based recurrent neural network. - Teddy Salan; Khan M. Iftekharuddin (IJCNN, 2012)

Multiclass feature selection for improved pediatric brain tumor segmentation. - Shaheen Ahmed; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2012)

Sparse coding for hyperspectral images using random dictionary and soft thresholding. - Ender Oguslu; Khan Iftekharuddin; Jiang Li 001 (Visual Information Processing, 2012)

A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking. - Robert Kozma 001; Lan Wang; Khan M. Iftekharuddin; Ernest McCracken; Muhammad M. R. Khan; Khandakar Islam; Sushil Bhurtel; Rustu Murat Demirer (Sensors, 2012)

Learning topological image transforms using cellular simultaneous recurrent networks. - Keith Anderson; Khan M. Iftekharuddin (IJCNN, 2013)

Autonomous wireless radar sensor mote for target material classification. - Muhammad M. R. Khan; Khan M. Iftekharuddin; Ernest McCracken; Khandakar Islam; Sushil Bhurtel; Lan Wang; Robert Kozma 001 (Digit. Signal Process., 2013)

Guest Editorial - - Wireless and Optical Communication Systems. - Mohammed Nazrul Islam; Mohammad A. Karim; Mohammad Abdus Salam; Khan M. Iftekharuddin (J. Commun., 2013)

Biologically inspired approaches for visual information processing and analysis. - Azeddine Beghdadi; Abdesselam Bouzerdoum; Khan M. Iftekharuddin; Mohamed-Chaker Larabi (Signal Process. Image Commun., 2013)

A survey of perceptual image processing methods. - Azeddine Beghdadi; Mohamed-Chaker Larabi; Abdesselam Bouzerdoum; Khan M. Iftekharuddin (Signal Process. Image Commun., 2013)

Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors. - Atiq Islam; Syed M. S. Reza; Khan M. Iftekharuddin (IEEE Trans. Biomed. Eng., 2013)

Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction. - Paul Kim; Khan M. Iftekharuddin; Pinakin Gunvant Davey; Márta Tóth; Anita Garas; Gabor Holló; Edward A. Essock (IEEE J. Biomed. Health Informatics, 2013)

Improved training of cellular SRN using Unscented Kaiman Filtering for ADP. - Lasitha Vidyaratne; Mahbubul Alam; John K. Anderson; Khan M. Iftekharuddin (IJCNN, 2014)

Shoreline extraction from the fusion of LiDAR DEM data and aerial images using mutual information and genetic algrithms. - Amr H. Yousef; Khan Iftekharuddin (IJCNN, 2014)

Multi-fractal texture features for brain tumor and edema segmentation. - Syed M. S. Reza; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2014)

Shadow Detection of Man-Made Buildings in High-Resolution Panchromatic Satellite Images. - Mohamed I. Elbakary; Khan M. Iftekharuddin (IEEE Trans. Geosci. Remote. Sens., 2014)

Improved brain tumor growth prediction and segmentation in longitudinal brain MRI. - Linmin Pei; Syed M. S. Reza; Khan M. Iftekharuddin (BIBM, 2015)

Analysis of facial muscle activation in children with autism using 3D imaging. - Manar D. Samad; Jonna L. Bobzien; John W. Harrington; Khan M. Iftekharuddin (BIBM, 2015)

Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IJCNN, 2015)

Multi-fractal detrended texture feature for brain tumor classification. - Syed M. S. Reza; Randall Mays; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2015)

Sparse coding based dense feature representation model for hyperspectral image classification. - Ender Oguslu; Guoqing Zhou 001; Zezhong Zheng; Khan Iftekharuddin; Jiang Li 001 (J. Electronic Imaging, 2015)

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. - Esther E. Bron; Marion Smits; Wiesje M. van der Flier; Hugo Vrenken; Frederik Barkhof; Philip Scheltens; Janne M. Papma; Rebecca M. E. Steketee; Carolina Méndez Orellana; Rozanna Meijboom; Madalena Pinto; Joana R. Meireles; et al. (NeuroImage, 2015)

Improved Gender Classification Using Nonpathological Gait Kinematics in Full-Motion Video. - Jeffrey B. Flora; Darrell F. Lochtefeld; Dustin A. Bruening; Khan M. Iftekharuddin (IEEE Trans. Hum. Mach. Syst., 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

Efficient feature extraction with simultaneous recurrent network for metric learning. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IJCNN, 2016)

Deep recurrent neural network for seizure detection. - Lasitha Vidyaratne; Alexander Glandon; Mahbubul Alam; Khan M. Iftekharuddin (IJCNN, 2016)

Glioma grading using cell nuclei morphologic features in digital pathology images. - Syed M. S. Reza; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2016)

Frenet Frame-Based Generalized Space Curve Representation for Pose-Invariant Classification and Recognition of 3-D Face. - Manar D. Samad; Khan M. Iftekharuddin (IEEE Trans. Hum. Mach. Syst., 2016)

Object recognition using cellular simultaneous recurrent networks and convolutional neural network. - Md. Zahangir Alom; Mahbubul Alam; Tarek M. Taha; Khan M. Iftekharuddin (IJCNN, 2017)

Deep learning of texture and structural features for multiclass Alzheimer's disease classification. - Chester V. Dolph; Mahbubul Alam; Zeina A. Shboul; Manar D. Samad; Khan M. Iftekharuddin (IJCNN, 2017)

Constrained versus unconstrained learning in generalized recurrent network for image processing. - Lasitha Vidyaratne; Mahbubul Alam; John K. Anderson; Khan M. Iftekharuddin (IJCNN, 2017)

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. - Linmin Pei; Syed M. S. Reza; Wei Li; Christos Davatzikos; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2017)

Glioblastoma and Survival Prediction. - Zeina A. Shboul; Lasitha Vidyaratne; Mahbubul Alam; Khan M. Iftekharuddin (BrainLes@MICCAI, 2017)

Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot. - D. Bussey; Alexander Glandon; Lasitha Vidyaratne; Mahbubul Alam; Khan M. Iftekharuddin (SSCI, 2017)

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. - Oskar Maier; Bjoern H. Menze; Janina von der Gablentz; Levin Häni; Mattias P. Heinrich; Matthias Liebrand; Stefan Winzeck; Abdul Basit 007; Paul Bentley; Liang Chen 018; Daan Christiaens; Francis Dutil; et al. (Medical Image Anal., 2017)

Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IJCNN, 2018)

Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks. - Alexander Glandon; Sharif Ullah; Lasitha Vidyaratne; Mahbubul Alam; C. Xin; Khan M. Iftekharuddin (IJCNN, 2018)

Deep learning and texture-based semantic label fusion for brain tumor segmentation. - Lasitha Vidyaratne; Mahbubul Alam; Zeina A. Shboul; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2018)

Glioblastoma Survival Prediction. - Zeina A. Shboul; Mahbubul Alam; Lasitha Vidyaratne; Linmin Pei; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2018)

Novel deep generative simultaneous recurrent model for efficient representation learning. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (Neural Networks, 2018)

Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IEEE Trans. Neural Networks Learn. Syst., 2018)

Brain Tumor Classification Using 3D Convolutional Neural Network. - Linmin Pei; Lasitha Vidyaratne; Wei-Wen Hsu; Md Monibor Rahman; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Zeina A. Shboul; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

Glidar3DJ: a View-Invariant Gait Identification via Flash Lidar Data Correction. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Alexander Glandon; Nibir K. Dhar; B. O. Familoni; Khan M. Iftekharuddin; Scott T. Acton (ICIP, 2019)

3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. - Alexander Glandon; Lasitha Vidyaratne; Nasrin Sadeghzadehyazdi; Nibir K. Dhar; Jide O. Familoni; Scott T. Acton; Khan M. Iftekharuddin (IJCNN, 2019)

Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning. - Cem Sazara; Mecit Cetin; Khan M. Iftekharuddin (ITSC, 2019)

Prediction of low-grade glioma progression using MR imaging. - Zeina A. Shboul; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2019)

Floodwater detection on roadways from crowdsourced images. - Megan A. Witherow; Cem Sazara; Irina M. Winter-Arboleda; Mohamed I. Elbakary; Mecit Cetin; Khan M. Iftekharuddin (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Nibir K. Dhar; B. O. Familoni; Khan M. Iftekharuddin; Scott T. Acton (CoRR, 2019)

A Hybrid Convolutional Neural Network Based-Method for Brain Tumor Classification Using mMRI and WSI. - Linmin Pei; Wei-Wen Hsu; Ling-An Chiang; Jing-Ming Guo; Khan M. Iftekharuddin; Rivka Colen (BrainLes@MICCAI (2), 2020)

End-to-end Multimodel Deep Learning for Malware Classification. - Elijah Snow; Mahbubul Alam; Alexander Glandon; Khan Iftekharuddin (IJCNN, 2020)

Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma. - Zeina A. Shboul; Khan M. Iftekharuddin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2020)

Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion. - Linmin Pei; Spyridon Bakas; Arastoo Vossough; Syed M. S. Reza; Christos Davatzikos; Khan M. Iftekharuddin (Biomed. Signal Process. Control., 2020)

Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. - Chris Tennant; Adam Carpenter; Tom Powers; Anna Shabalina Solopova; Lasitha Vidyaratne; Khan Iftekharuddin (CoRR, 2020)

Survey on Deep Neural Networks in Speech and Vision Systems. - Mahbubul Alam; Manar D. Samad; Lasitha Vidyaratne; Alexander Glandon; Khan M. Iftekharuddin (Neurocomputing, 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters. - Walia Farzana; Ahmed G. Temtam; Zeina A. Shboul; Md Monibor Rahman; Md. Shibly Sadique; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2021)

Brain Tumor Segmentation Using UNet-Context Encoding Network. - Md Monibor Rahman; Md. Shibly Sadique; Ahmed G. Temtam; Walia Farzana; Lasitha Vidyaratne; Khan M. Iftekharuddin (BrainLes@MICCAI (1), 2021)

Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning. - Manar D. Samad; Rahim Hossain; Khan M. Iftekharuddin (IJCNN, 2021)

COVID-19 detection using image analysis methods on CT images. - Mohamed I. Elbakary; Khan Iftekharuddin (Image Processing, 2021)

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information. - Lasitha Vidyaratne; Mahbubul Alam; Alexander Glandon; Anna Shabalina Solopova; Christopher Tennant; Khan Iftekharuddin (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. - Lasitha Vidyaratne; Adam Carpenter; Tom Powers; Chris Tennant; Khan M. Iftekharuddin; Md Monibor Rahman; Anna Shabalina Solopova (Frontiers Artif. Intell., 2021)

Detection and Tracking of Aircraft from Small Unmanned Aerial Systems. - Chester V. Dolph; Cyrus Minwalla; Louis J. Glaab; Michael J. Logan; B. Danette Allen; Khan M. Iftekharuddin (J. Aerosp. Inf. Syst., 2021)

Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network. - Md. Shibly Sadique; Md Monibor Rahman; Walia Farzana; Ahmed G. Temtam; Khan M. Iftekharuddin (BrainLes@MICCAI, 2022)

SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation. - Stephen Lamczyk; Kwame Ampofo; Behrouz Salashour; Mecit Cetin; Khan M. Iftekharuddin (IJCNN, 2022)

Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition. - Joseph Zalameda; Brady Kruse; Alexander Glandon; Megan A. Witherow; Sachin Shetty; Khan M. Iftekharuddin (IJCNN, 2022)

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients. - Walia Farzana; Zeina A. Shboul; Ahmed G. Temtam; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2022)

Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI. - Md. Shibly Sadique; Ahmed G. Temtam; E. Lappinen; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2022)

Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Alexander Glandon; Nibir K. Dhar; Babajide O. Familoni; Khan Iftekharuddin; Scott T. Acton (Appl. Artif. Intell., 2022)

Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets. - Amr H. Yousef; Jeffrey B. Flora; Khan Iftekharuddin (Sensors, 2022)

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. - Lasitha Vidyaratne; Mahbubul Alam; Alexander Glandon; Anna Shabalina; Chris Tennant; Khan M. Iftekharuddin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. - Md Monibor Rahman; Lasitha Vidyaratne; Adam Carpenter; Chris Tennant; Khan M. Iftekharuddin (IJCNN, 2023)

Attack Assessment and Augmented Identity Recognition for Human Skeleton Data. - Joseph Zalameda; Megan A. Witherow; Alexander Glandon; Jose Aguilera; Khan M. Iftekharuddin (IJCNN, 2023)

Class activation mapping and uncertainty estimation in multi-organ segmentation. - Md. Shibly Sadique; Walia Farzana; Ahmed G. Temtam; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2023)

Opioid use disorder prediction using machine learning of fMRI data. - Ahmed G. Temtam; Liangsuo Ma; F. Gerard Moeller; Md. Shibly Sadique; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2023)

Local Synthesis of Healthy Brain Tissue Using an Enhanced 3D Pix2Pix Model for Medical Image Inpainting. - Md. Shibly Sadique; Md Monibor Rahman; Walia Farzana; Alexander Glandon; Ahmed G. Temtam; Khan M. Iftekharuddin (BraTS/CrossMoDA@MICCAI, 2023)

Brain Tumor Segmentation: Glioma Segmentation in Sub-Saharan Africa Patients Using nnU-Net. - Md. Shibly Sadique; Md Monibor Rahman; Walia Farzana; Alexander Glandon; Ahmed G. Temtam; Khan M. Iftekharuddin (BraTS/CrossMoDA@MICCAI, 2023)

Pediatric Brain Tumor Segmentation Using Multiresolution Fractal Deep Neural Network. - Ahmed G. Temtam; Md. Shibly Sadique; Md Monibor Rahman; Walia Farzana; Khan M. Iftekharuddin (BraTS/CrossMoDA@MICCAI, 2023)

Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation. - Ahmed G. Temtam; Linmin Pei; Khan Iftekharuddin (CoRR, 2023)

Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients. - Walia Farzana; Mustafa M. Basree; Norou Diawara; Zeina A. Shboul; Sagel Dubey; Marie M. Lockhart; Mohamed Hamza; Joshua D. Palmer; Khan M. Iftekharuddin (CoRR, 2023)

Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets. - Chester V. Dolph; Corey Ippolito; Louis J. Glaab; Michael J. Logan; Loc D. Tran; B. Danette Allen; Mahbubul Alam; Jiang Li 001; Khan Iftekharuddin (J. Aerosp. Inf. Syst., 2023)

Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement. - Megan A. Witherow; Crystal Butler; Winston J. Shields; Furkan Ilgin; Norou Diawara; Janice Keener; John W. Harrington; Khan M. Iftekharuddin (CoRR, 2024)

Pilot Study to Discover Candidate Biomarkers for Autism based on Perception and Production of Facial Expressions. - Megan A. Witherow; Norou Diawara; Janice Keener; John W. Harrington; Khan M. Iftekharuddin (CoRR, 2024)

Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals. - Ahmed G. Temtam; Megan A. Witherow; Liangsuo Ma; Md. Shibly Sadique; F. Gerard Moeller; Khan M. Iftekharuddin (CoRR, 2024)

Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network. - Yidi Wang; Yawen Shen; Behrouz Salahshour; Mecit Cetin; Khan Iftekharuddin; Navid Tahvildari; Guoping Huang; Devin K. Harris; Kwame Ampofo; Jonathan L. Goodall (Environ. Model. Softw., 2024)

Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. - Md Monibor Rahman; Adam Carpenter; Khan M. Iftekharuddin; Chris Tennant (Mach. Learn. Sci. Technol., 2024)

Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features. - Megan A. Witherow; Manar D. Samad; Norou Diawara; Haim Y. Bar 001; Khan M. Iftekharuddin (IEEE Trans. Affect. Comput., 2024)

Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction. - Md. Shibly Sadique; Walia Farzana; Ahmed G. Temtam; E. Lappinen; Arastoo Vossough; Khan M. Iftekharuddin (IEEE J. Biomed. Health Informatics, 2024)