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ORCIDKhan M. Iftekharuddin
Khan Mohammad Iftekharuddin – Khan Iftekharuddin
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- affiliation: Old Dominion University, Department of Electrical and Computer Engineering, Norfolk, VA, USA
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2020 – today
- 2024
[j40]Yidi Wang
, Yawen Shen, Behrouz Salahshour, Mecit Cetin, Khan Iftekharuddin, Navid Tahvildari, Guoping Huang, Devin K. Harris, Kwame Ampofo, Jonathan L. Goodall:
Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network. Environ. Model. Softw. 173: 105939 (2024)- [j39]Md Monibor Rahman, Adam Carpenter, Khan M. Iftekharuddin, Chris Tennant:
Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. Mach. Learn. Sci. Technol. 5(3): 35078 (2024) - [j38]Megan A. Witherow, Manar D. Samad, Norou Diawara, Haim Y. Bar, Khan M. Iftekharuddin:
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features. IEEE Trans. Affect. Comput. 15(3): 847-858 (2024) - [j37]Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin:
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction. IEEE J. Biomed. Health Informatics 28(10): 5685-5695 (2024) - [i14]Megan A. Witherow, Crystal Butler, Winston J. Shields, Furkan Ilgin, Norou Diawara, Janice Keener, John W. Harrington, Khan M. Iftekharuddin:
Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement. CoRR abs/2403.07314 (2024) - [i13]Md Monibor Rahman, Adam Carpenter, Khan Iftekharuddin, Chris Tennant:
Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory. CoRR abs/2404.15829 (2024) - [i12]Megan A. Witherow, Norou Diawara, Janice Keener, John W. Harrington, Khan M. Iftekharuddin:
Pilot Study to Discover Candidate Biomarkers for Autism based on Perception and Production of Facial Expressions. CoRR abs/2404.16040 (2024) - [i11]Ahmed G. Temtam, Megan A. Witherow, Liangsuo Ma, Md. Shibly Sadique, F. Gerard Moeller, Khan M. Iftekharuddin:
Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals. CoRR abs/2410.19147 (2024) - 2023
- [j36]Chester V. Dolph, Corey Ippolito, Louis J. Glaab, Michael J. Logan, Loc D. Tran, B. Danette Allen, Mahbubul Alam, Jiang Li, Khan Iftekharuddin:
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets. J. Aerosp. Inf. Syst. 20(8): 489-507 (2023) - [c65]Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin:
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. IJCNN 2023: 1-7 - [c64]Joseph Zalameda, Megan A. Witherow, Alexander Glandon, Jose Aguilera, Khan M. Iftekharuddin:
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data. IJCNN 2023: 1-8 - [c63]Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin:
Class activation mapping and uncertainty estimation in multi-organ segmentation. Computer-Aided Diagnosis 2023 - [c62]Ahmed G. Temtam, Liangsuo Ma, F. Gerard Moeller, Md. Shibly Sadique, Khan M. Iftekharuddin:
Opioid use disorder prediction using machine learning of fMRI data. Computer-Aided Diagnosis 2023 - [e3]Khan M. Iftekharuddin, Weijie Chen:
Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, CA, USA, February 19-23, 2023. SPIE Proceedings 12465, SPIE 2023, ISBN 9781510660359 [contents] - [i10]Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin:
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction. CoRR abs/2306.03270 (2023) - [i9]Ahmed G. Temtam, L. Pei, Khan Iftekharuddin:
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation. CoRR abs/2306.04754 (2023) - [i8]Walia Farzana, Mustafa M. Basree, Norou Diawara, Zeina A. Shboul, Sagel Dubey, Marie M. Lockhart, Mohamed Hamza, Joshua D. Palmer, Khan M. Iftekharuddin:
Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients. CoRR abs/2306.16531 (2023) - 2022
- [j35]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir K. Dhar, Babajide O. Familoni, Khan Iftekharuddin, Scott T. Acton:
Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition. Appl. Artif. Intell. 36(1) (2022) - [j34]Amr H. Yousef, Jeffrey B. Flora, Khan Iftekharuddin:
Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets. Sensors 22(21): 8121 (2022) - [j33]Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon, Anna Shabalina, Chris Tennant, Khan M. Iftekharuddin:
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6215-6225 (2022) - [c61]Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network. BrainLes@MICCAI 2022: 205-215 - [c60]Stephen Lamczyk, Kwame Ampofo, Behrouz Salashour, Mecit Cetin, Khan M. Iftekharuddin:
SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation. IJCNN 2022: 1-8 - [c59]Joseph Zalameda, Brady Kruse, Alexander Glandon, Megan A. Witherow, Sachin Shetty, Khan M. Iftekharuddin:
Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition. IJCNN 2022: 1-8 - [c58]Walia Farzana, Zeina A. Shboul, Ahmed G. Temtam, Khan M. Iftekharuddin:
Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients. Computer-Aided Diagnosis 2022 - [c57]Md. Shibly Sadique, Ahmed G. Temtam, E. Lappinen, Khan M. Iftekharuddin:
Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI. Computer-Aided Diagnosis 2022 - [e2]Karen Drukker, Khan M. Iftekharuddin:
Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022. SPIE Proceedings 12033, SPIE 2022, ISBN 9781510649415 [contents] - [i7]Megan A. Witherow, Manar D. Samad, Norou Diawara, Haim Y. Bar, Khan M. Iftekharuddin:
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features. CoRR abs/2209.08614 (2022) - 2021
- [j32]Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova:
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. Frontiers Artif. Intell. 4: 718950 (2021) - [j31]Chester V. Dolph, Cyrus Minwalla, Louis J. Glaab, Michael J. Logan, B. Danette Allen, Khan M. Iftekharuddin:
Detection and Tracking of Aircraft from Small Unmanned Aerial Systems. J. Aerosp. Inf. Syst. 18(11): 838-851 (2021) - [c56]Walia Farzana, Ahmed G. Temtam, Zeina A. Shboul, Md Monibor Rahman, Md. Shibly Sadique, Khan M. Iftekharuddin:
Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters. BrainLes@MICCAI (2) 2021: 357-366 - [c55]Md Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using UNet-Context Encoding Network. BrainLes@MICCAI (1) 2021: 463-472 - [c54]Manar D. Samad, Rahim Hossain, Khan M. Iftekharuddin:
Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning. IJCNN 2021: 1-7 - [c53]Mohamed I. Elbakary, Khan Iftekharuddin:
COVID-19 detection using image analysis methods on CT images. Image Processing 2021 - [e1]Mufti Mahmud, M. Shamim Kaiser, Nikola K. Kasabov, Khan Iftekharuddin, Ning Zhong:
Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings. Communications in Computer and Information Science 1435, Springer 2021, ISBN 978-3-030-82268-2 [contents] - [i6]Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon, Anna Shabalina Solopova, Christopher Tennant, Khan Iftekharuddin:
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information. CoRR abs/2101.05608 (2021) - [i5]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, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j30]Linmin Pei, Spyridon Bakas, Arastoo Vossough, Syed M. S. Reza, Christos Davatzikos, Khan M. Iftekharuddin:
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion. Biomed. Signal Process. Control. 55 (2020) - [j29]Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. Neurocomputing 417: 302-321 (2020) - [j28]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c52]Linmin Pei, Wei-Wen Hsu, Ling-An Chiang, Jing-Ming Guo, Khan M. Iftekharuddin, Rivka Colen:
A Hybrid Convolutional Neural Network Based-Method for Brain Tumor Classification Using mMRI and WSI. BrainLes@MICCAI (2) 2020: 487-496 - [c51]Elijah Snow, Mahbubul Alam, Alexander Glandon, Khan Iftekharuddin:
End-to-end Multimodel Deep Learning for Malware Classification. IJCNN 2020: 1-7 - [c50]Zeina A. Shboul, Khan M. Iftekharuddin:
Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170Y - [c49]Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin:
Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. Computer-Aided Diagnosis 2020 - [i4]Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin:
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. CoRR abs/2006.06562 (2020)
2010 – 2019
- 2019
- [j27]Megan A. Witherow, Cem Sazara, Irina M. Winter-Arboleda, Mohamed I. Elbakary, Mecit Cetin, Khan M. Iftekharuddin:
Floodwater detection on roadways from crowdsourced images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(5-6): 529-540 (2019) - [c48]Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Zeina A. Shboul, Khan M. Iftekharuddin:
Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. BrainLes@MICCAI (2) 2019: 73-81 - [c47]Linmin Pei, Lasitha Vidyaratne, Wei-Wen Hsu, Md Monibor Rahman, Khan M. Iftekharuddin:
Brain Tumor Classification Using 3D Convolutional Neural Network. BrainLes@MICCAI (2) 2019: 335-342 - [c46]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir K. Dhar, B. O. Familoni, Khan M. Iftekharuddin, Scott T. Acton:
Glidar3DJ: a View-Invariant Gait Identification via Flash Lidar Data Correction. ICIP 2019: 2606-2610 - [c45]Alexander Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir K. Dhar, Jide O. Familoni, Scott T. Acton, Khan M. Iftekharuddin:
3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. IJCNN 2019: 1-8 - [c44]Cem Sazara, Mecit Cetin, Khan M. Iftekharuddin:
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning. ITSC 2019: 804-809 - [c43]Zeina A. Shboul, Khan M. Iftekharuddin:
Prediction of low-grade glioma progression using MR imaging. Computer-Aided Diagnosis 2019: 1095049 - [i3]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Nibir K. Dhar, B. O. Familoni, Khan M. Iftekharuddin, Scott T. Acton:
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data. CoRR abs/1905.07058 (2019) - [i2]Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. CoRR abs/1908.07656 (2019) - [i1]Cem Sazara, Mecit Cetin, Khan M. Iftekharuddin:
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning. CoRR abs/1909.00125 (2019) - 2018
- [j26]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Novel deep generative simultaneous recurrent model for efficient representation learning. Neural Networks 107: 12-22 (2018) - [j25]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4905-4916 (2018) - [c42]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. IJCNN 2018: 1-6 - [c41]Alexander Glandon, Sharif Ullah, Lasitha Vidyaratne, Mahbubul Alam, C. Xin, Khan M. Iftekharuddin:
Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks. IJCNN 2018: 1-7 - [c40]Lasitha Vidyaratne, Mahbubul Alam, Zeina A. Shboul, Khan M. Iftekharuddin:
Deep learning and texture-based semantic label fusion for brain tumor segmentation. Computer-Aided Diagnosis 2018: 105750D - [c39]Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Khan M. Iftekharuddin:
Glioblastoma Survival Prediction. BrainLes@MICCAI (2) 2018: 508-515 - 2017
- [j24]Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [c38]Chester V. Dolph, Mahbubul Alam, Zeina A. Shboul, Manar D. Samad, Khan M. Iftekharuddin:
Deep learning of texture and structural features for multiclass Alzheimer's disease classification. IJCNN 2017: 2259-2266 - [c37]Md. Zahangir Alom, Mahbubul Alam, Tarek M. Taha, Khan M. Iftekharuddin:
Object recognition using cellular simultaneous recurrent networks and convolutional neural network. IJCNN 2017: 2873-2880 - [c36]Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin:
Constrained versus unconstrained learning in generalized recurrent network for image processing. IJCNN 2017: 3310-3317 - [c35]Linmin Pei, Syed M. S. Reza, Wei Li, Christos Davatzikos, Khan M. Iftekharuddin:
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. Computer-Aided Diagnosis 2017: 101342L - [c34]Zeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin:
Glioblastoma and Survival Prediction. BrainLes@MICCAI 2017: 358-368 - [c33]D. Bussey, Alexander Glandon, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin:
Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot. SSCI 2017: 1-7 - 2016
- [j23]Manar D. Samad, Khan M. Iftekharuddin:
Frenet Frame-Based Generalized Space Curve Representation for Pose-Invariant Classification and Recognition of 3-D Face. IEEE Trans. Hum. Mach. Syst. 46(4): 522-533 (2016) - [c32]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Efficient feature extraction with simultaneous recurrent network for metric learning. IJCNN 2016: 1195-1201 - [c31]Lasitha Vidyaratne, Alexander Glandon, Mahbubul Alam, Khan M. Iftekharuddin:
Deep recurrent neural network for seizure detection. IJCNN 2016: 1202-1207 - [c30]Syed M. S. Reza, Khan M. Iftekharuddin:
Glioma grading using cell nuclei morphologic features in digital pathology images. Computer-Aided Diagnosis 2016: 97852U - 2015
- [j22]Ender Oguslu, Guoqing Zhou, Zezhong Zheng, Khan Iftekharuddin, Jiang Li:
Sparse coding based dense feature representation model for hyperspectral image classification. J. Electronic Imaging 24(6): 063009 (2015) - [j21]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, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke:
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111: 562-579 (2015) - [j20]Jeffrey B. Flora, Darrell F. Lochtefeld, Dustin A. Bruening, Khan M. Iftekharuddin:
Improved Gender Classification Using Nonpathological Gait Kinematics in Full-Motion Video. IEEE Trans. Hum. Mach. Syst. 45(3): 304-314 (2015) - [j19]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, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c29]Manar D. Samad, Jonna L. Bobzien, John W. Harrington, Khan M. Iftekharuddin:
Analysis of facial muscle activation in children with autism using 3D imaging. BIBM 2015: 337-342 - [c28]Linmin Pei, Syed M. S. Reza, Khan M. Iftekharuddin:
Improved brain tumor growth prediction and segmentation in longitudinal brain MRI. BIBM 2015: 421-424 - [c27]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection. IJCNN 2015: 1-7 - [c26]Syed M. S. Reza, Randall Mays, Khan M. Iftekharuddin:
Multi-fractal detrended texture feature for brain tumor classification. Computer-Aided Diagnosis 2015: 941410 - 2014
- [j18]Mohamed I. Elbakary, Khan M. Iftekharuddin:
Shadow Detection of Man-Made Buildings in High-Resolution Panchromatic Satellite Images. IEEE Trans. Geosci. Remote. Sens. 52(9): 5374-5386 (2014) - [c25]Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin:
Improved training of cellular SRN using Unscented Kaiman Filtering for ADP. IJCNN 2014: 993-1000 - [c24]Amr H. Yousef, Khan Iftekharuddin:
Shoreline extraction from the fusion of LiDAR DEM data and aerial images using mutual information and genetic algrithms. IJCNN 2014: 1007-1014 - [c23]Syed M. S. Reza, Khan M. Iftekharuddin:
Multi-fractal texture features for brain tumor and edema segmentation. Computer-Aided Diagnosis 2014: 903503 - 2013
- [j17]Muhammad M. R. Khan, Khan M. Iftekharuddin, Ernest McCracken, Khandakar Islam, Sushil Bhurtel, Lan Wang, Robert Kozma:
Autonomous wireless radar sensor mote for target material classification. Digit. Signal Process. 23(3): 722-735 (2013) - [j16]Mohammed Nazrul Islam, Mohammad A. Karim, Mohammad Abdus Salam, Khan M. Iftekharuddin:
Guest Editorial - - Wireless and Optical Communication Systems. J. Commun. 8(12) (2013) - [j15]Azeddine Beghdadi, Abdesselam Bouzerdoum, Khan M. Iftekharuddin, Mohamed-Chaker Larabi:
Biologically inspired approaches for visual information processing and analysis. Signal Process. Image Commun. 28(8): 809-810 (2013) - [j14]Azeddine Beghdadi, Mohamed-Chaker Larabi, Abdesselam Bouzerdoum, Khan M. Iftekharuddin:
A survey of perceptual image processing methods. Signal Process. Image Commun. 28(8): 811-831 (2013) - [j13]Atiq Islam, Syed M. S. Reza, Khan M. Iftekharuddin:
Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors. IEEE Trans. Biomed. Eng. 60(11): 3204-3215 (2013) - [j12]Paul Kim, Khan M. Iftekharuddin, Pinakin Gunvant Davey, Márta Tóth, Anita Garas, Gabor Holló, Edward A. Essock:
Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction. IEEE J. Biomed. Health Informatics 17(2): 269-276 (2013) - [c22]Keith Anderson, Khan M. Iftekharuddin:
Learning topological image transforms using cellular simultaneous recurrent networks. IJCNN 2013: 1-9 - 2012
- [j11]Khan Mohammad Iftekharuddin, Mohammed Nazrul Islam, Mohammad Ataul Karim, Mohammad Abdus Salam:
Guest Editorial. J. Commun. 7(11): 781-783 (2012) - [j10]Robert Kozma, Lan Wang, Khan M. Iftekharuddin, Ernest McCracken, Muhammad M. R. Khan, Khandakar Islam, Sushil Bhurtel, Rustu Murat Demirer:
A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking. Sensors 12(2): 1336-1351 (2012) - [c21]Shaheen Ahmed, Khan M. Iftekharuddin, E. Olusegun George:
An information theoretic framework for MRI preprocessing, multiclass feature selection and segmentation of PF tumors. ACSCC 2012: 1597-1601 - [c20]Teddy Salan, Khan M. Iftekharuddin:
Large pose invariant face recognition using feature-based recurrent neural network. IJCNN 2012: 1-7 - [c19]Shaheen Ahmed, Khan M. Iftekharuddin:
Multiclass feature selection for improved pediatric brain tumor segmentation. Computer-Aided Diagnosis 2012: 83153J - [c18]Ender Oguslu, Khan Iftekharuddin, Jiang Li:
Sparse coding for hyperspectral images using random dictionary and soft thresholding. Visual Information Processing 2012: 83990A - 2011
- [j9]Atiq Islam, Khan M. Iftekharuddin, E. Olusegun George:
Gene expression based prototype for automatic tumor prediction. BMC Bioinform. 12(S-7): A15 (2011) - [j8]Khan Mohammad Iftekharuddin, Mohammed Nazrul Islam, Mohammad Ataul Karim, Mohammad Abdus Salam:
Guest Editorial. J. Commun. 6(7): 509-511 (2011) - [j7]Shaheen Ahmed, Khan M. Iftekharuddin, Arastoo Vossough:
Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI. IEEE Trans. Inf. Technol. Biomed. 15(2): 206-213 (2011) - [j6]Khan M. Iftekharuddin:
Transformation Invariant On-Line Target Recognition. IEEE Trans. Neural Networks 22(6): 906-918 (2011) - [c17]Khan M. Iftekharuddin, Shaheen Ahmed, Jakir Hossen:
Multiresolution texture models for brain tumor segmentation in MRI. EMBC 2011: 6985-6988 - [c16]Kenneth L. Rice, Tarek M. Taha, Khan M. Iftekharuddin, Keith Anderson, Teddy Salan:
GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals. IJCNN 2011: 2717-2724 - [c15]Pinakin Gunvant Davey, P. Y. Kim, Khan M. Iftekharuddin, Edward A. Essock:
Identifying glaucoma with multi-fractal features from optical coherence tomography (OCT). Computer-Aided Diagnosis 2011: 79633S - [c14]P. Y. Kim, Khan M. Iftekharuddin, Pinakin Gunvant Davey, Márta Tóth, Anita Garas, Gabor Holló, Edward A. Essock:
Feature-based glaucomatous progression prediction using scanning laser polarimetry (SLP) data. Computer-Aided Diagnosis 2011: 79633T - 2010
- [j5]Fatema N. Julia, Khan M. Iftekharuddin, Atiq Islam:
Dialog Act Classification Using Acoustic and Discourse Information of Maptask Data. Int. J. Comput. Intell. Appl. 9(4): 289-311 (2010) - [j4]Khan Mohammad Iftekharuddin, Mohammed Nazrul Islam, Mohammad Ataul Karim, Mohammad Abdus Salam:
Guest Editorial. J. Commun. 5(7): 509-510 (2010) - [j3]Khan Mohammad Iftekharuddin, Mohammed Nazrul Islam, Mohammad Ataul Karim, Mohammad Abdus Salam:
Guest Editorial. J. Commun. 5(8): 581-582 (2010) - [c13]William E. White, Khan M. Iftekharuddin, Abdesselam Bouzerdoum:
Improved learning in grid-to-grid neural network via clustering. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j2]Khan M. Iftekharuddin, Jing Zheng, Mohammad A. Islam, Robert J. Ogg:
Fractal-based brain tumor detection in multimodal MRI. Appl. Math. Comput. 207(1): 23-41 (2009) - [c12]Yong Ren, Khan M. Iftekharuddin, William E. White:
Recurrent network-based face recognition using image sequences. CIMSIVP 2009: 41-46 - [c11]Keith Anderson, Khan M. Iftekharuddin, Eddie White, Paul Kim:
Binary image registration using cellular simultaneous recurrent networks. CIMSIVP 2009: 61-67 - [c10]Khan M. Iftekharuddin:
Tutorial CIMSVP-T advanced image processing. CIMSIVP 2009 - [c9]Yong Ren, Keith Anderson, Khan M. Iftekharuddin, Paul Kim, William E. White:
Pose invariant face recognition using Cellular Simultaneous Recurrent Networks. IJCNN 2009: 2634-2641 - [c8]S. Ahmed, Khan M. Iftekharuddin, Robert J. Ogg, Fred H. Laningham:
Efficacy of texture, shape, and intensity features for robust posterior-fossa tumor segmentation in MRI. Computer-Aided Diagnosis 2009: 726020 - [r2]Atiq Islam, Khan M. Iftekharuddin, E. Olusegun George, David J. Russomanno:
CNS Tumor Prediction Using Gene Expression Data Part I. Encyclopedia of Artificial Intelligence 2009: 304-311 - [r1]Atiq Islam, Khan M. Iftekharuddin, E. Olusegun George, David J. Russomanno:
CNS Tumor Prediction Using Gene Expression Data Part II. Encyclopedia of Artificial Intelligence 2009: 312-317 - 2008
- [c7]Khan M. Iftekharuddin, Yaqin Li:
A biologically-inspired computational model for transformation invariant target recognition. IJCNN 2008: 1049-1056 - [c6]Fatema N. Julia, Khan M. Iftekharuddin:
Dialog Act classification using acoustic and discourse information of MapTask Data. IJCNN 2008: 1472-1479 - [c5]Atiq Islam, Khan M. Iftekharuddin, E. Olusegun George:
Class specific gene expression estimation and classification in microarray data. IJCNN 2008: 1678-1685 - [c4]Atiq Islam, Khan M. Iftekharuddin, Robert J. Ogg, Fred H. Laningham, Bhuvaneswari Sivakumar:
Multifractal modeling, segmentation, prediction, and statistical validation of posterior fossa tumors. Computer-Aided Diagnosis 2008: 69153C - 2006
- [c3]Atiq Islam, Khan M. Iftekharuddin, David J. Russomanno:
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates. BIOCOMP 2006: 172-176 - [c2]Faraz Siddiqui, Khan M. Iftekharuddin:
Multiresolution Object Recognition Using Dual Heuristic Programming. IJCNN 2006: 4262-4268 - 2005
- [c1]Khan M. Iftekharuddin, Mohammad A. Islam, Jahangheer Shaik, Carlos Parra, Robert J. Ogg:
Automatic brain tumor detection in MRI: methodology and statistical validation. Image Processing 2005 - 2003
- [j1]Khan M. Iftekharuddin, Wei Jia, Ronald Marsh:
Fractal analysis of tumor in brain MR images. Mach. Vis. Appl. 13(5): 352-362 (2003)
Coauthor Index
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