| 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), 1-11, 2020 | 111 | 2020 |
| Important Feature Selection & Accuracy Comparisons of Different Machine Learning Models for Early Diabetes Detection SY Rubaiat, MM Rahman, MK Hasan 2018 International Conference on Innovation in Engineering and Technology …, 2018 | 48 | 2018 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... Journal of Machine Learning for Biomedical Imaging 1, 2022 | 38 | 2022 |
| Brain tumor classification using 3d convolutional neural network L Pei, L Vidyaratne, WW Hsu, MM Rahman, KM Iftekharuddin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 34 | 2020 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore … S Bakas, A Crimi, U Baid, S Malec, M Pytlarz, B Baheti, M Zenk, R Dorent Springer Nature, 2023 | 14 | 2023 |
| Multimodal brain tumor segmentation and survival prediction using hybrid machine learning L Pei, L Vidyaratne, M Monibor Rahman, ZA Shboul, KM Iftekharuddin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 12 | 2020 |
| Brain Tumor Segmentation Using UNet-Context Encoding Network MM Rahman, MS Sadique, AG Temtam, W Farzana, L Vidyaratne, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2022 | 9 | 2022 |
| Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction L Pei, L Vidyaratne, MM Rahman, KM Iftekharuddin Medical Imaging 2020: Computer-Aided Diagnosis 11314, 102-109, 2020 | 7 | 2020 |
| Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network MS Sadique, MM Rahman, W Farzana, A Temtam, KM Iftekharuddin International MICCAI Brainlesion Workshop, 205-215, 2022 | 3 | 2022 |
| Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory L Vidyaratne, A Carpenter, T Powers, C Tennant, KM Iftekharuddin, ... Frontiers in artificial intelligence 4, 718950, 2022 | 3 | 2022 |
| Solid state transformer based on cascade multilevel converter for distribution network MM Rana, R Rahman, MM Rahman 2016 9th International Conference on Electrical and Computer Engineering …, 2016 | 3 | 2016 |
| Real-Time Cavity Fault Prediction in CEBAF Using Deep Learning M Rahman, KM Iftekharuddin, A Carpenter, TS McGuckin, C Tennant, ... Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA …, 2022 | 2 | 2022 |
| Initial Studies of Cavity Fault Prediction at Jefferson Laboratory LS Vidyaratne, A Carpenter, R Suleiman, C Tennant, D Turner, ... | 2 | 2021 |
| InN-based dual channel high electron mobility transistor MT Hasan, MM Rahman, ANM Shamsuzzaman, MS Islam, AG Bhuiyan 2008 International Conference on Electrical and Computer Engineering, 452-455, 2008 | 2 | 2008 |
| Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters W Farzana, AG Temtam, ZA Shboul, MM Rahman, MS Sadique, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2022 | 1 | 2022 |
| Using AI for Management of Field Emission in SRF Linacs A Carpenter, P Degtiarenko, R Suleiman, C Tennant, D Turner, ... | 1 | 2021 |
| Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory M Rahman, A Carpenter, K Iftekharuddin, C Tennant arXiv preprint arXiv:2404.15829, 2024 | | 2024 |
| Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals MM Rahman, L Vidyaratne, A Carpenter, C Tennant, K Iftekharuddin 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | | 2023 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... arXiv preprint arXiv:2112.10074, 2021 | | 2021 |
| Unsupervised Multivariate Time Series Clustering MM Rahman, L Vidyaratne, A Glandon, K Iftekharuddin | | 2021 |
Khan IftekharuddinProfessor of Electrical & Computer Engineering, Old Dominion UniversityVerified email at odu.edu
