Khan Iftekharuddin
Affiliations: | 1998-2000 | North Dakota State University, Fargo, ND, United States | |
| 2000- | The University of Memphis, Memphis, TN, United States | ||
| 2011- | Old Dominion University, Norfolk, VA, United States |
Area:
Electronics and Electrical Engineering, Biomedical EngineeringWebsite:
https://www.odu.edu/directory/khan-iftekharuddinGoogle:
"Khan Iftekharuddin"Bio:
https://www.proquest.com/openview/2e76083cffd0cc1b5ac95961699dbf3b/1
Parents
Sign in to add mentor| Mohammed A. Karim | grad student | 1995 | University of Dayton (Computer Science Tree) | |
| (Real time hybrid target recognition using generalized and wavelet pre-processed matched filters) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Reza SMS, Islam A, Iftekharuddin KM. (2024) Texture Estimation for Abnormal Tissue Segmentation in Brain MRI. Advances in Neurobiology. 36: 469-486 |
| Mehta R, Filos A, Baid U, et al. (2023) QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results. The Journal of Machine Learning For Biomedical Imaging. 2022 |
| Yousef A, Flora J, Iftekharuddin K. (2022) Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets. Sensors (Basel, Switzerland). 22 |
| Pei L, Jones KA, Shboul ZA, et al. (2021) Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading. Frontiers in Oncology. 11: 668694 |
| Pei L, Bakas S, Vossough A, et al. (2020) Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion. Biomedical Signal Processing and Control. 55 |
| Pei L, Vidyaratne L, Rahman MM, et al. (2020) Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images. Scientific Reports. 10: 19726 |
| Pei L, Bakas S, Vossough A, et al. (2020) Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion Biomedical Signal Processing and Control. 55: 101648 |
| Kumar N, Verma R, Anand D, et al. (2019) A Multi-organ Nucleus Segmentation Challenge. Ieee Transactions On Medical Imaging |
| Shboul ZA, Alam M, Vidyaratne L, et al. (2019) Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction. Frontiers in Neuroscience. 13: 966 |
| Reza SMS, Samad MD, Shboul ZA, et al. (2019) Glioma grading using structural magnetic resonance imaging and molecular data. Journal of Medical Imaging (Bellingham, Wash.). 6: 024501 |