Yuqian Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 31

Top Topics

Corpus Callosum

Negative Matrix Factorization

Top Venues

Medical Image Anal.

Publications

Ari Tchetchenian, Leo R. Zekelman, Yuqian Chen, Jarrett Rushmore, Fan Zhang, Edward H. Yeterian, Nikos Makris, Yogesh Rathi, Erik Meijering, Yang Song, Lauren J. O'Donnell
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning. CoRR (2024)
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 (2024)
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 (2024)
Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR (2024)
Yui Lo, Yuqian Chen, Fan Zhang, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. CoRR (2024)
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 (2024)
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)
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 (2023)
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 (2023)
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)
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 (2023)
Xiao Xu, Yuqian Chen, Leo R. Zekelman, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell
Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. ISBI (2023)
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)
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)
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 (2023)
Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. CoRR (2023)
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 (2023)
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)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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)
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 (2022)
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 (2022)
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 (2022)
Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. CoRR (2021)
Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (7) (2021)
Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai
Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images. ISBI (2021)
Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images. CoRR (2021)
Yuqian Chen, Yufeng Ke, Guifang Meng, Jin Jiang, Hongzhi Qi, Xuejun Jiao, Minpeng Xu, Peng Zhou, Feng He, Dong Ming
Enhancing performance of P300-Speller under mental workload by incorporating dual-task data during classifier training. Comput. Methods Programs Biomed. 152 (2017)
Yuqian Chen, Yufeng Ke, Guifang Meng, Hongzhi Qi, Feng He, Peng Zhou, Dong Ming
A study of effect of N-back and arithmetic mental workload on performance of P300-Speller. iCAST (2015)
Yufeng Ke, Peiyuan Wang, Yuqian Chen, Bin Gu, Hongzhi Qi, Peng Zhou, Dong Ming
Concurrent mental activities affect ERPs and impair performance of ERP-spellers. NER (2015)