TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. - Fan Zhou 003; Tengfei Li 001; Heng Li; Hongtu Zhu (BrainLes@MICCAI, 2017)

A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. - Tengfei Li 001; Fan Zhou 003; Ziliang Zhu; Hai Shu; Hongtu Zhu (ISBI, 2018)

Statistical disease mapping for heterogeneous neuroimaging studies. - Rongjie Liu; Chao Huang 005; Tengfei Li 001; Liuqing Yang; Hongtu Zhu (ISBI, 2018)

Automatic Brain Tumor Segmentation with Domain Adaptation. - Lutao Dai; Tengfei Li 001; Hai Shu; Liming Zhong; Haipeng Shen; Hongtu Zhu (BrainLes@MICCAI (2), 2018)

A Powerful Global Test Statistic for Functional Statistical Inference. - Jingwen Zhang; Joseph G. Ibrahim; Tengfei Li 001; Hongtu Zhu (AAAI, 2019)

Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost. - Tengfei Li 001; Xifeng Wang; Tianyou Luo; Yue Yang; Bingxin Zhao; Liuqing Yang; Ziliang Zhu; Hongtu Zhu (ABCD-NP@MICCAI, 2019)

Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. - Fan Zhou 003; Tengfei Li 001; Haibo Zhou; Hongtu Zhu; Jieping Ye (NeurIPS, 2019)

Brain functional development separates into three distinct time periods in the first two years of life. - Weiyan Yin; Meng-Hsiang Chen; Sheng-Che Hung; Kristine Baluyot; Tengfei Li 001; Weili Lin (NeuroImage, 2019)

Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation. - Jiarui Tang; Tengfei Li 001; Hai Shu; Hongtu Zhu (BrainLes@MICCAI (2), 2020)

3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research. - Jonas Bianchi; Beatriz Paniagua; Antonio Carlos Ruellas; Jean-Christophe Fillion-Robin; Juan C. Prietro; João Roberto Gonçalves; James Hoctor; Marilia Yatabe; Martin Styner; Tengfei Li 001; Marcela Lima Gurgel; Cauby Maia Chaves Junior; et al. (ML-CDS/CLIP@MICCAI, 2020)

(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. - Liming Zhong; Tengfei Li 001; Hai Shu; Chao Huang 005; Jason M. Johnson; Donald F. Schomer; Ho-Ling Liu; Qianjin Feng 003; Wei Yang 006; Hongtu Zhu (NeuroImage, 2020)

TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis. - Celia Le; Romain Deleat-Besson; Najla Al Turkestani; Lucia H. S. Cevidanes; Jonas Bianchi; Winston Zhang; Marcela Gurgel; Hina Shah; Juan Prieto 001; Tengfei Li 001 (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. - Chao Huang 005; Zhenlin Xu; Zhengyang Shen; Tianyou Luo; Tengfei Li 001; Daniel Nissman; Amanda Nelson; Yvonne Golightly; Marc Niethammer; Hongtu Zhu (Medical Image Anal., 2022)

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. - Tao Zhong 002; Jingkuan Wei; Kunhua Wu; Liangjun Chen; Fenqiang Zhao; Yuchen Pei; Ya Wang; Hongjiang Zhang; Zhengwang Wu; Ying Huang 007; Tengfei Li 001; Li Wang 026; et al. (NeuroImage, 2022)

Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering. - Ying Huang 007; Zhengwang Wu; Ya Wang; Tengfei Li 001; Xifeng Wang; Hongtu Zhu; Weili Lin; Li Wang 026; Jun Feng; John H. Gilmore; Gang Li 001 (EMBC, 2024)

A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation. - Xiaoyang Chen; Hao Zheng 006; Yifang Xie; Yuncong Ma; Tengfei Li 001 (CoRR, 2024)

AI-Driven Multimodal TMJ Patient Modeling: From Unstructured Notes to Precision Treatment. - Alban Gaydamour; Enzo Tulissi; Claudia Mattos; Rodrigo Teixeira; Maxwell Shin; Adam Hershey; Anabelle Kwon; Felicia Miranda; Marcela Gurgel; Selene Barone; Aron Aliaga; Marilia Yatabe; et al. (CLIP@MICCAI, 2025)