| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2170 | 2018 |
| Survey on deep neural networks in speech and vision systems M Alam, MD Samad, L Vidyaratne, A Glandon, KM Iftekharuddin Neurocomputing 417, 302-321, 2020 | 279 | 2020 |
| Real-time epileptic seizure detection using EEG LS Vidyaratne, KM Iftekharuddin IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017 | 247 | 2017 |
| 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), 19726, 2020 | 135 | 2020 |
| Deep recurrent neural network for seizure detection L Vidyaratne, A Glandon, M Alam, KM Iftekharuddin 2016 International Joint Conference on Neural Networks (IJCNN), 1202-1207, 2016 | 101 | 2016 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru … A Crimi, S Bakas Springer Nature, 2021 | 85 | 2021 |
| Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory C Tennant, A Carpenter, T Powers, A Shabalina Solopova, L Vidyaratne, ... Physical Review Accelerators and Beams 23 (11), 114601, 2020 | 76 | 2020 |
| Feature-guided deep radiomics for glioblastoma patient survival prediction ZA Shboul, M Alam, L Vidyaratne, L Pei, MI Elbakary, KM Iftekharuddin Frontiers in neuroscience 13, 966, 2019 | 68 | 2019 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC … A Crimi, S Bakas, H Kuijf, B Menze, M Reyes Springer, 2018 | 62 | 2018 |
| Sparse simultaneous recurrent deep learning for robust facial expression recognition M Alam, LS Vidyaratne, KM Iftekharuddin IEEE transactions on neural networks and learning systems 29 (10), 4905-4916, 2018 | 58 | 2018 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty 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, ... The journal of machine learning for biomedical imaging 2022, 2022 | 53 | 2022 |
| Glioblastoma and survival prediction ZA Shboul, L Vidyaratne, M Alam, KM Iftekharuddin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 51 | 2018 |
| Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders MI Radaideh, C Pappas, J Walden, D Lu, L Vidyaratne, T Britton, K Rajput, ... Digital Signal Processing 130, 103704, 2022 | 42 | 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 | 42 | 2020 |
| Brain tumor segmentation using UNet-context encoding network MM Rahman, MS Sadique, AG Temtam, W Farzana, L Vidyaratne, ... International MICCAI Brainlesion Workshop, 463-472, 2021 | 18 | 2021 |
| SRF cavity fault classification using machine learning at CEBAF A Solopova, A Carpenter, T Powers, Y Roblin, C Tennant, L Vidyaratne, ... Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA …, 2019 | 17 | 2019 |
| 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 | 16 | 2020 |
| An ensemble of convolution-based methods for fault detection using vibration signals XY Lee, A Kumar, L Vidyaratne, AR Rao, A Farahat, C Gupta 2023 IEEE International Conference on Prognostics and Health Management …, 2023 | 15 | 2023 |
| Deep cellular recurrent network for efficient analysis of time-series data with spatial information LS Vidyaratne, M Alam, AM Glandon, A Shabalina, C Tennant, ... IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6215-6225, 2021 | 15 | 2021 |
| Deep SRN for robust object recognition: A case study with NAO humanoid robot M Alam, L Vidyaratne, T Wash, KM Iftekharuddin SoutheastCon 2016, 1-7, 2016 | 14 | 2016 |
