Improved brain tumor growth prediction and segmentation in longitudinal brain MRI. - Linmin Pei; Syed M. S. Reza; Khan M. Iftekharuddin (BIBM, 2015)

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. - Linmin Pei; Syed M. S. Reza; Wei Li; Christos Davatzikos; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2017)

Glioblastoma Survival Prediction. - Zeina A. Shboul; Mahbubul Alam; Lasitha Vidyaratne; Linmin Pei; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2018)

Brain Tumor Classification Using 3D Convolutional Neural Network. - Linmin Pei; Lasitha Vidyaratne; Wei-Wen Hsu; Md Monibor Rahman; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Zeina A. Shboul; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

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. Iftekharuddin; Rivka Colen (BrainLes@MICCAI (2), 2020)

Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet. - Linmin Pei; A. K. Murat; Rivka Colen (BrainLes@MICCAI (1), 2020)

Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2020)

Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion. - Linmin Pei; Spyridon Bakas; Arastoo Vossough; Syed M. S. Reza; Christos Davatzikos; Khan M. Iftekharuddin (Biomed. Signal Process. Control., 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Longitudinal Brain Tumor Tracking, Tumor Grading, and Patient Survival Prediction Using MRI. - Linmin Pei (2020)

Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021. - Linmin Pei; Yanling Liu (BrainLes@MICCAI (1), 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation. - Ahmed G. Temtam; Linmin Pei; Khan Iftekharuddin (CoRR, 2023)

AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons. - Gowtham Krishnan Murugesan; Diana McCrumb; Rahul Soni; Jithendra Kumar; Leonard Nuernberg; Linmin Pei; Ulrike Wagner; Sutton Granger; Andrey Y. Fedorov; Stephen Moore 008; Jeff VanOss (CoRR, 2024)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)

Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation. - Michael W. Rutherford; Tracy S. Nolan; Linmin Pei; Ulrike Wagner; Qinyan Pan; Phillip Farmer; Kirk E. Smith; Benjamin Kopchick; Laura Opsahl-Ong; Sutton Granger; David A. Clunie; Keyvan Farahani; et al. (CoRR, 2025)