Linmin Pei
Linmin Pei
Frederick National Laboratory for Cancer Research
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Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
Ischemic stroke lesion segmentation using local gradient and texture features
SM Reza, L Pei, K Iftekharuddin
ischemic stroke lesion segmentation 23, 23-26, 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
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
Multimodal brain tumor segmentation using a 3D ResUNet in BraTS 2021
L Pei, Y Liu
International MICCAI Brainlesion Workshop, 315-323, 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
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
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
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