Linmin Pei

Orcid: 0000-0001-6135-9429

According to our database1, Linmin Pei authored at least 14 papers between 2015 and 2024.

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Bibliography

2024
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons.
CoRR, 2024

2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Longitudinal Brain Tumor Tracking, Tumor Grading, and Patient Survival Prediction Using MRI.
PhD thesis, 2020

A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion.
Biomed. Signal Process. Control., 2020

Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet.
Proceedings of the 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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Brain Tumor Classification Using 3D Convolutional Neural Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Glioblastoma Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2015
Improved brain tumor growth prediction and segmentation in longitudinal brain MRI.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015


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