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ORCIDTengfei Li 0001
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology, Biomedical Research Imaging Center, USA
Other persons with the same name
- Tengfei Li — disambiguation page
- Tengfei Li 0002
![[0000-0002-9531-7128]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9531-7128")
— East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China - Tengfei Li 0003 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Tengfei Li 0004 — Jilin University, College of Computer Science and Technology, Changchun, China
- Tengfei Li 0005 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
- Tengfei Li 0006 — Academy of Space Technology, CAST, Institute of Spacecraft Systems Engineering, Beijing, China
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2020 – today
- 2022
[j4]Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu:
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal. 77: 102343 (2022)- [j3]Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, Fenqiang Zhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li, Yuyu Niu:
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage 247: 118799 (2022) - 2021
- [c10]Celia Le, Romain Deleat-Besson, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Winston Zhang, Marcela Gurgel, Hina Shah, Juan Prieto, Tengfei Li:
TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 78-87 - 2020
- [j2]Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu:
(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. NeuroImage 223: 117368 (2020) - [c9]Jiarui Tang, Tengfei Li, Hai Shu, Hongtu Zhu:
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 431-440 - [c8]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, Marcela Lima Gurgel, Cauby Maia Chaves Junior, Camila Massaro, Daniela Gamba Garib, Lorena Vilanova, Jose Fernando Castanha Henriques, Aron Aliaga Del Castillo, Guilherme Janson, Laura R. Iwasaki, Jeffrey C. Nickel, Karine Evangelista, Lucia H. S. Cevidanes:
3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research. ML-CDS/CLIP@MICCAI 2020: 44-53
2010 – 2019
- 2019
- [j1]Weiyan Yin, Meng-Hsiang Chen, Sheng-Che Hung, Kristine Baluyot, Tengfei Li, Weili Lin:
Brain functional development separates into three distinct time periods in the first two years of life. NeuroImage 189: 715-726 (2019) - [c7]Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu:
A Powerful Global Test Statistic for Functional Statistical Inference. AAAI 2019: 5765-5772 - [c6]Tengfei Li, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang, Ziliang Zhu, Hongtu Zhu:
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost. ABCD-NP@MICCAI 2019: 167-175 - [c5]Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye:
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. NeurIPS 2019: 7013-7023 - 2018
- [c4]Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu:
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. ISBI 2018: 692-695 - [c3]Rongjie Liu, Chao Huang, Tengfei Li, Liuqing Yang, Hongtu Zhu:
Statistical disease mapping for heterogeneous neuroimaging studies. ISBI 2018: 1415-1418 - [c2]Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong, Haipeng Shen, Hongtu Zhu:
Automatic Brain Tumor Segmentation with Domain Adaptation. BrainLes@MICCAI (2) 2018: 380-392 - 2017
- [c1]Fan Zhou, Tengfei Li, Heng Li, Hongtu Zhu:
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI 2017: 274-286
Coauthor Index
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