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Tengfei Xue
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2020 – today
- 2024
- [j6]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Anal. 94: 103120 (2024) - [c21]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt. MedAGI@MICCAI 2024: 71-80 - [i19]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data. CoRR abs/2401.04579 (2024) - [i18]Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. CoRR abs/2407.08883 (2024) - [i17]Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Tom Weidong Cai:
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module. CoRR abs/2407.10806 (2024) - [i16]Tengfei Xue, Xuefeng Li, Roman Smirnov, Tahir Azim, Arash Sadrieh, Babak Pahlavan:
NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2. CoRR abs/2407.12057 (2024) - [i15]Tengfei Xue, Xuefeng Li, Tahir Azim, Roman Smirnov, Jianhui Yu, Arash Sadrieh, Babak Pahlavan:
Multi-Programming Language Ensemble for Code Generation in Large Language Model. CoRR abs/2409.04114 (2024) - [i14]Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Tom Weidong Cai:
Enhancing Advanced Visual Reasoning Ability of Large Language Models. CoRR abs/2409.13980 (2024) - 2023
- [j5]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. Medical Image Anal. 85: 102759 (2023) - [j4]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage 273: 120086 (2023) - [j3]Xiangyun Tang, Meng Shen, Qi Li, Liehuang Zhu, Tengfei Xue, Qiang Qu:
PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations. IEEE Trans. Dependable Secur. Comput. 20(6): 5005-5023 (2023) - [c20]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. ISBI 2023: 1-5 - [c19]Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. ISBI 2023: 1-5 - [c18]Nabil Vindas, Nicole Labra Avila, Fan Zhang, Tengfei Xue, Lauren J. O'Donnell, Jean-François Mangin:
GeoLab: Geometry-Based Tractography Parcellation of Superficial White Matter. ISBI 2023: 1-5 - [c17]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. ISBI 2023: 1-5 - [c16]Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi:
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. ISBI 2023: 1-5 - [c15]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. CDMRI@MICCAI 2023: 165-176 - [c14]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. MICCAI (8) 2023: 409-419 - [i13]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. CoRR abs/2301.01911 (2023) - [i12]Nabil Vindas, Nicole Labra Avila, Fan Zhang, Tengfei Xue, Lauren J. O'Donnell, Jean-François Mangin:
GeoLab: Geometry-based Tractography Parcellation of Superficial White Matter. CoRR abs/2303.01147 (2023) - [i11]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject. CoRR abs/2303.14371 (2023) - [i10]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. CoRR abs/2307.03982 (2023) - [i9]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. CoRR abs/2307.09000 (2023) - 2022
- [j2]Leo R. Zekelman, Fan Zhang, Nikos Makris, Jianzhong He, Yuqian Chen, Tengfei Xue, Daniela Liera, Daniel L. Drane, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. NeuroImage 246: 118739 (2022) - [j1]Tengfei Xue, Yongliang Qiao, He Kong, Daobilige Su, Shirui Pan, Khalid Rafique, Salah Sukkarieh:
One-Shot Learning-Based Animal Video Segmentation. IEEE Trans. Ind. Informatics 18(6): 3799-3807 (2022) - [c13]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI 2022: 1-5 - [c12]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. MICCAI (1) 2022: 174-184 - [c11]Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell:
TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. MICCAI (1) 2022: 196-206 - [i8]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. CoRR abs/2201.12528 (2022) - [i7]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. CoRR abs/2205.00627 (2022) - [i6]Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell:
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. CoRR abs/2207.02327 (2022) - [i5]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. CoRR abs/2207.02402 (2022) - [i4]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions. CoRR abs/2207.08975 (2022) - [i3]Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin Karayumak, Steven D. Pieper, William M. Wells III, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell:
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR abs/2210.07411 (2022) - [i2]Yuxiang Wei, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell:
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections. CoRR abs/2211.07398 (2022) - [i1]Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography. CoRR abs/2211.08119 (2022) - 2021
- [c10]Dingning Liu, Yuyu Yuan, Tengfei Xue, Lei Chen:
An Efficient Batch Verification Scheme for SM2 Signatures. DSA 2021: 208-212
2010 – 2019
- 2018
- [c9]Tengfei Xue, Yuyu Yuan, Zahir Ahmed, Krishna Moniz, Ganyuan Cao, Cong Wang:
Proof of Contribution: A Modification of Proof of Work to Increase Mining Efficiency. COMPSAC (1) 2018: 636-644 - [c8]Chenxi Dong, Tengfei Xue, Cong Wang:
The Feature Representation Ability of Variational AutoEncoder. DSC 2018: 680-684 - [c7]Tengfei Xue, Yuyu Yuan, Cong Wang:
An Approach for Evaluating User Participation in Bitcoin. DSC 2018: 858-864 - 2017
- [c6]Hongbo Jiang, Qiang Li, Qisong Jiao, Tengfei Xue, Qingyun Zhang:
Quantitative extraction of wall cracks information of earthquake damaged buildings based on ground-based lidar. IGARSS 2017: 1712-1715 - 2014
- [c5]Tengfei Xue, Yuyu Yuan, Qunchao Fu, Heng Gu, Siyue Zhang, Cong Wang:
The application of text similarity computing in the Clinical Decision Support System. CCIS 2014: 357-361 - [c4]Qunchao Fu, Wanheng Liu, Tengfei Xue, Heng Gu, Siyue Zhang, Cong Wang:
A big data processing methods for visualization. CCIS 2014: 571-575 - 2011
- [c3]Ranran Yang, Zhanqiang Chang, Tengfei Xue:
3D Terrain visualization for Mountain Taishan. ICSDM 2011: 285-290 - [c2]Zhanqiang Chang, Xiaomeng Liu, Tengfei Xue, Ranran Yang:
Investigating ground subsidence in Beijing by using interferogram stacking InSAR. ICSDM 2011: 378-380 - [c1]Tengfei Xue, Zhanqiang Chang, Ranran Yang:
Location selection of ecological zone based on Geoprocessing server. ICSDM 2011: 540-543
Coauthor Index
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last updated on 2024-10-16 20:34 CEST by the dblp team
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