Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction. - Li Zhao 001; Samuel W. Fielden; Xue Feng 001; Max Wintermark; John P. Mugler III; Craig H. Meyer (NeuroImage, 2015)

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. - Xue Feng 001; Nicholas J. Tustison; Craig H. Meyer (BrainLes@MICCAI (2), 2018)

A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols. - Yushan Feng; Huitong Pan; Craig H. Meyer; Xue Feng 001 (CoRR, 2018)

Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction. - Xue Feng 001; Quan Dou; Nicholas J. Tustison; Craig H. Meyer (BrainLes@MICCAI (1), 2019)

A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences. - Yushan Feng; Huitong Pan; Craig H. Meyer; Xue Feng 001 (ISBI, 2019)

Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure. - Huitong Pan; Yushan Feng; Quan Chen; Craig H. Meyer; Xue Feng 001 (ISBI, 2019)

Choroid Plexus Segmentation Using Optimized 3D U-Net. - Li Zhao 001; Xue Feng 001; Craig H. Meyer; David C. Alsop (ISBI, 2020)

Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation. - Xue Feng 001; Christopher M. Kramer; Michael Salerno; Craig H. Meyer (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Patch-Based 3D UNet for Head and Neck Tumor Segmentation with an Ensemble of Conventional and Dilated Convolutions. - Kanchan Ghimire; Quan Chen; Xue Feng 001 (HECKTOR@MICCAI, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong 002; et al. (CoRR, 2020)

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features. - Xue Feng 001; Nicholas J. Tustison; Sohil H. Patel; Craig H. Meyer (Frontiers Comput. Neurosci., 2020)

Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI. - Xue Feng 001; Harrison X. Bai; Daniel Kim; Georgios Maragkos; Jan Machaj; Ryan Kellogg (BrainLes@MICCAI (2), 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)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. - Zhenxi Zhang; Chunna Tian; Xinbo Gao 001; Cui Wang; Xue Feng 001; Harrison X. Bai; Zhicheng Jiao (Neurocomputing, 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images. - Quan Dou; Kang Yan; Sheng Chen; Zhixing Wang; Xue Feng 001; Craig H. Meyer (STACOM@MICCAI, 2023)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. - Xue Feng 001; Kanchan Ghimire; Daniel D. Kim; Rajat S. Chandra; Helen Zhang; Jian Peng; Binghong Han; Gaofeng Huang; Quan Chen; Sohil H. Patel; Chetan Bettagowda; Haris I. Sair; et al. (J. Imaging Inform. Medicine, 2023)

A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024. - Xue Feng 001; Gaofeng Huang (DFUC@MICCAI, 2024)

EXACT-Net: EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy. - Hamed Hooshangnejad; Xue Feng 001; Gaofeng Huang; Rui Zhang; Quan Chen; Kai Ding 003 (CoRR, 2024)

Morphological changes of the choroid plexus in the lateral ventricle across the lifespan: 5551 subjects from fetus to elderly. - Jiaxin Li; Yuxuan Gao; Yunzhi Xu; Weiying Dai; Yueqin Hu; Xue Feng 001; Dan Wu; Li Zhao 001 (NeuroImage, 2025)

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. - Zhusi Zhong; Yuli Wang; Jing Wu; Wen-Chi Hsu; Vin Somasundaram; Lulu Bi; Shreyas Kulkarni; Zhuoqi Ma; Scott Collins; Grayson Baird; Sun Ho Ahn; Xue Feng 001; et al. (npj Digit. Medicine, 2025)

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology. - Yi Luo; Hamed Hooshangnejad; Xue Feng 001; Gaofeng Huang; Xiaojian Chen; Rui Zhang; Quan Chen; Wil Ngwa; Kai Ding 003 (CoRR, 2025)