| 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 | 1782 | 2018 |
| ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ... Medical image analysis 35, 250-269, 2017 | 495 | 2017 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 369 | 2019 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 133 | 2022 |
| 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 | 108 | 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 | 59 | 2019 |
| Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion L Pei, S Bakas, A Vossough, SMS Reza, C Davatzikos, KM Iftekharuddin Biomedical signal processing and control 55, 101648, 2020 | 58 | 2020 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain … A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum Springer, 2019 | 49 | 2019 |
| Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI L Pei, SMS Reza, W Li, C Davatzikos, KM Iftekharuddin Medical Imaging 2017: Computer-Aided Diagnosis 10134, 666-674, 2017 | 47 | 2017 |
| Deep neural network analysis of pathology images with integrated molecular data for enhanced glioma classification and grading L Pei, KA Jones, ZA Shboul, JY Chen, KM Iftekharuddin Frontiers in oncology 11, 668694, 2021 | 36 | 2021 |
| 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 | 34 | 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 | 33 | 2020 |
| A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs WW Hsu, JM Guo, L Pei, LA Chiang, YF Li, JC Hsiao, R Colen, P Liu Scientific Reports 12 (1), 6111, 2022 | 23 | 2022 |
| Ischemic stroke lesion segmentation using local gradient and texture features SM Reza, L Pei, K Iftekharuddin ischemic stroke lesion segmentation 23, 23-26, 2015 | 23 | 2015 |
| Improved brain tumor growth prediction and segmentation in longitudinal brain MRI L Pei, SMS Reza, KM Iftekharuddin 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 18 | 2015 |
| A general skull stripping of multiparametric brain MRIs using 3D convolutional neural network L Pei, M Ak, NHM Tahon, S Zenkin, S Alkarawi, A Kamal, M Yilmaz, ... Scientific Reports 12 (1), 10826, 2022 | 17 | 2022 |
| Multimodal brain tumor segmentation using a 3D ResUNet in BraTS 2021 L Pei, Y Liu International MICCAI Brainlesion Workshop, 315-323, 2021 | 12 | 2021 |
| Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet L Pei, AK Murat, R Colen Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 12 | 2021 |
| 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 |
| 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 ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 8* | 2021 |
