Behavioral macromodeling of analog LSI implementation for automobile intake system. - Zhangcai Huang; Yasuaki Inoue; Quan Zhang; Yuehu Zhou; Long Xie; Harutoshi Ogai (ISCAS, 2006)

Virtual vehicle system development and its application for ABS design based on distributed network. - Long Xie; Qian Tian; Harutoshi Ogai (Int. J. Comput. Appl. Technol., 2006)

An Activity Monitor Design Based on Wavelet Analysis and Wireless Sensor Networks. - Qian Tian; Long Xie; Noriyoshi Yamauchi (J. Adv. Comput. Intell. Intell. Informatics, 2007)

A Two-Tire Index Structure for Approximate String Matching with Block Moves. - Bin Wang 015; Long Xie; Guoren Wang (DASFAA Workshops, 2009)

Pseudo Period Detection on Time Series Stream with Scale Smoothing. - Xiaoguang Li; Long Xie; Baoyan Song; Ge Yu 001; Daling Wang (APWeb/WAIM, 2009)

Utility-Oriented K-Anonymization on Social Networks. - Yazhe Wang; Long Xie; Baihua Zheng; Ken C. K. Lee (DASFAA (1), 2011)

The Application of Spatial Information Technology Based on VR for the River Shoreline Resource Management. - Longhua Gao; Weijian Li; Long Xie (GRMSE, 2014)

Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex. - Long Xie; John Pluta; Hongzhi Wang 002; Sandhitsu R. Das; Lauren Mancuso; Dasha Kliot; Brian B. Avants; Song-Lin Ding; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2014)

High utility K-anonymization for social network publishing. - Yazhe Wang; Long Xie; Baihua Zheng; Ken C. K. Lee (Knowl. Inf. Syst., 2014)

Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images. - Long Xie; Suman Sedai; Xi Liang 001; Colin B. Compas; Hongzhi Wang 002; Paul A. Yushkevich; Tanveer F. Syeda-Mahmood (ISBI, 2015)

Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. - Long Xie; Laura E. M. Wisse; Sandhitsu R. Das; Hongzhi Wang 002; David A. Wolk; José V. Manjón; Paul A. Yushkevich (MICCAI (2), 2016)

Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. - Long Xie; John Pluta; Sandhitsu R. Das; Laura E. M. Wisse; Hongzhi Wang 002; Lauren Mancuso; Dasha Kliot; Brian B. Avants; Song-Lin Ding; José V. Manjón; David A. Wolk; Paul A. Yushkevich (NeuroImage, 2017)

Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. - Long Xie; Laura E. M. Wisse; Sandhitsu R. Das; Ranjit Ittyerah; Jiancong Wang; David A. Wolk; Paul A. Yushkevich (ShapeMI@MICCAI, 2018)

Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. - Daniel H. Adler; Laura E. M. Wisse; Ranjit Ittyerah; John Pluta; Song-Lin Ding; Long Xie; Jiancong Wang; Salmon Kadivar; John L. Robinson; Theresa Schuck; John Q. Trojanowski; Murray Grossman; et al. (Proc. Natl. Acad. Sci. USA, 2018)

Diffeomorphic Medial Modeling. - Paul A. Yushkevich; Ahmed H. Aly; Jiancong Wang; Long Xie; Robert C. Gorman; Laurent Younes; Alison M. Pouch (IPMI, 2019)

Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation. - Long Xie; Jiancong Wang; Mengjin Dong; David A. Wolk; Paul A. Yushkevich (MICCAI (3), 2019)

Barnes-Hut Approximation for Point SetGeodesic Shooting. - Jiancong Wang; Long Xie; Paul A. Yushkevich; James C. Gee (CoRR, 2019)

Emergency monitoring and disposal decision support system for sudden pollution accidents based on multimedia information system. - Yong Lei; Xiaoqing Zhou; Long Xie (Multim. Tools Appl., 2019)

Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology. - Sadhana Ravikumar; Laura E. M. Wisse; Ranjit Ittyerah; Sydney Lim; Madigan Lavery; Long Xie; John L. Robinson; Theresa Schuck; Murray Grossman; Edward B. Lee; M. Dylan Tisdall; Karthik Prabhakaran; et al. (ISBI, 2020)

3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. - Paul A. Yushkevich; Maria Mercedes Iñiguez de Onzoño Martin; Ranjit Ittyerah; Sydney Lim; Madigan Lavery; Jiancong Wang; Alex Ling Yu Hung; Nicolas Vergnet; Sadhana Ravikumar; Long Xie; Mengjin Dong; Robin DeFlores; et al. (ISBI, 2020)

DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (CoRR, 2020)

Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. - Long Xie; Laura E. M. Wisse; Jiancong Wang; Sadhana Ravikumar; Trevor Glenn; Anica Luther; Sydney Lim; David A. Wolk; Paul A. Yushkevich (IPMI, 2021)

Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging. - Sadhana Ravikumar; Laura E. M. Wisse; Sydney Lim; David J. Irwin; Ranjit Ittyerah; Long Xie; Sandhitsu R. Das; Edward B. Lee; M. Dylan Tisdall; Karthik Prabhakaran; John A. Detre; Gabor Mizsei; et al. (MLCN@MICCAI, 2021)

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. - Jeffrey D. Rudie; Jeffrey T. Duda; Michael Tran Duong; Po-Hao Chen 001; Long Xie; Robert Kurtz; Jeffrey B. Ware; Joshua Choi; Raghav R. Mattay; Emmanuel J. Botzolakis; James C. Gee; R. Nick Bryan; et al. (J. Digit. Imaging, 2021)

DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (NeuroImage, 2021)

Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation. - Sadhana Ravikumar; Ranjit Ittyerah; Sydney Lim; Long Xie; Sandhitsu R. Das; Pulkit Khandelwal; Laura E. M. Wisse; Madigan L. Bedard; John L. Robinson; Terry Schuck; Murray Grossman; John Q. Trojanowski; et al. (IPMI, 2023)

Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning. - Michael Tran Duong; Sandhitsu R. Das; Pulkit Khandelwal; Xueying Lyu; Long Xie; Paul A. Yushkevich; David A. Wolk; Ilya M. Nasrallah (MLCN@MICCAI, 2023)

Research on Underwater Acoustic Detection Based on Submarine Cable Distributed Acoustic Sensing. - Lei Zhang; Long Xie; Xutao He; Xiaobo Lin; Jiangzheng Shu; Qile Wang (SPCNC, 2023)

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI. - Mengjin Dong; Long Xie; Sandhitsu R. Das; Jiancong Wang; Laura E. M. Wisse; Robin DeFlores; David A. Wolk; Paul A. Yushkevich (CoRR, 2023)

Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation. - Long Xie; Laura E. M. Wisse; Jiancong Wang; Sadhana Ravikumar; Pulkit Khandelwal; Trevor Glenn; Anica Luther; Sydney Lim; David A. Wolk; Paul A. Yushkevich (Medical Image Anal., 2023)

Towards Better QoS and Lower Costs of P4 EIP Gateway at the Edge. - Ming Yang; Xin Yang; Liang Xu; Yefei Hou; Long Xie; Yong Wang (CCGrid, 2024)

The brain markers of creativity measured by divergent thinking in childhood: Hippocampal volume and functional connectivity. - Wen-Wen Xu; Liyuan Ren; Xiaoxin Hao; Donglin Shi; Yupu Ma; Yuzheng Hu; Long Xie; Fengji Geng (NeuroImage, 2024)

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability. - Reza Eghbali; Pierre Nedelec; David A. Weiss; Radhika Bhalerao; Long Xie; Jeffrey D. Rudie; Chunlei Liu 004; Leo P. Sugrue; Andreas M. Rauschecker (Neuroinformatics, 2025)

Nearly isotropic segmentation for medial temporal lobe subregions in multi-modality MRI. - Yue Li; Pulkit Khandelwal; Long Xie; Laura E. M. Wisse; Nidhi Mundada; Christopher A. Brown; Emily McGrew; Amanda Denning; Sandhitsu R. Das; David A. Wolk; Paul A. Yushkevich (CoRR, 2025)