Jundong Liu

发表

Vector-Valued Local Frequency Representation for Robust Multimodal Image Registration

Jundong Liu, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Nonlinear Metric Learning through Geodesic Polylinear Interpolation (ML-GPI)

Charles D. Smith, Bibo Shi, Jundong Liu, 2018 .

Determination of leg cross-sectional curvatures and application in pressure prediction for lower body compression garments

M. Ying, Jundong Liu, T. Lao, 2018, Textile Research Journal.

A LOCAL LIKELIHOOD ACTIVE CONTOUR MODEL FOR MEDICAL IMAGE SEGEMENTATION A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science

Jundong Liu, Jiebao Zhang, Dennis Irwin, 2007 .

Eigenimage-based Robust Image Segmentation Using Level Sets Eigenimage-based Robust Image Segmentation Using Level Sets Table of Contents

Jundong Liu, 2006 .

Mining Gene Regulatory Motifs Using the Concept of Sequence Coverage

F. Drews, L. Welch, Jundong Liu, 2014 .

Automatic Subcortical Structure Segmentation using Local Likelihood-based Active Contour

Charles D. Smith, H. Chebrolu, Jundong Liu, 2007 .

A NEW SHAPE ANALYSIS FRAMEWORK BASED ON CURVE SKELETONS

Jundong Liu, Shuisheng Xie, 2012 .

A L2E-Based QoS Forecasting Algorithm for Dynamic, Distributed Real-Time Systems

Lonnie R. Welch, Lin Yang, Jundong Liu, 2003, PDPTA.

Evaluating the Causal Effects of Gestational Diabetes Mellitus, Heart Disease, and High Body Mass Index on Maternal Alzheimer’s Disease and Dementia: Multivariable Mendelian Randomization

Jundong Liu, K. K. Chan, Jie Sheng, 2022, Frontiers in Genetics.

A method for calculating gas hydrate saturation by dual parameters of logging

Jundong Liu, Haiyan Li, C. Qu, 2022, Frontiers in Earth Science.

A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images

C. Grecos, Jundong Liu, P. Ren, 2022, Remote. Sens..

Individualized Conditioning and Negative Distances for Speaker Separation

Xianhui Wang, Jundong Liu, Zhewei Wang, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis

Jundong Liu, Bibo Shi, Charles D. Smith, 2015, Pattern Recognit..

Riemannian Shape Analysis Based on Meridian Curves

Jundong Liu, Charles D. Smith, Shuisheng Xie, 2012, 2012 11th International Conference on Machine Learning and Applications.

Distance-informed metric learning for Alzheimer's disease staging

Jundong Liu, Bibo Shi, Zhewei Wang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Segmentation of external force field for automatic initialization and splitting of snakes

Chunming Li, Jundong Liu, Martin D. Fox, 2005, Pattern Recognit..

Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features

Jundong Liu, Bibo Shi, Charles D. Smith, 2015, BMVC.

Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation

Trevor J. Bihl, Jundong Liu, Tao Sun, 2023, ArXiv.

Segmentation of edge preserving gradient vector flow: an approach toward automatically initializing and splitting of snakes

Chunming Li, Martin D. Fox, Jundong Liu, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Regularity-guaranteed transformation estimation in medical image registration

Jundong Liu, Bibo Shi, Bibo Shi, 2012, Medical Imaging.

Automatic Multiple Sclerosis detection based on integrated square estimation

Jundong Liu, Charles D. Smith, Hima Chebrolu, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

TraceCaps: A Capsule-based Neural Network for Semantic Segmentation

Jundong Liu, Tao Sun, Zhewei Wang, 2019 .

Trace-back Along Capsules and Its Application on Semantic Segmentation pdf

Tao Sun, Jundong Liu, Charles D. Smith, 2018, ArXiv.

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble

Tao Sun, Jundong Liu, Bibo Shi, 2017, MLMI@MICCAI.

Hippocampus segmentation through multi-view ensemble ConvNets

Jundong Liu, Pin Zhang, Bibo Shi, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

SIMPLISMA and ALS applied to two-way nonlinear wavelet compressed ion mobility spectra of chemical warfare agent simulants.

Jundong Liu, Libo Cao, Peter de B. Harrington, 2005, Analytical chemistry.

Automatic Subcortical Structure Segmentation Using Probabilistic Atlas

Jundong Liu, David M. Chelberg, Charles D. Smith, 2007, ISVC.

A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation

Jundong Liu, Charles D. Smith, Hima Chebrolu, 2007, ACCV.

Robust Image Segmentation using Local Median

Jundong Liu, Jundong Liu, 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).

A Unified Framework for Segmentation-Assisted Image Registration

Yang Wang, Jundong Liu, Junhong Liu, 2006, ACCV.

Segmentation-Assisted Registration for Brain MR Images

Jundong Liu, Jundong Liu, 2011 .

Quad-mesh based radial distance biomarkers for Alzheimer's disease

Jundong Liu, Pin Zhang, Bibo Shi, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations

Jundong Liu, Bibo Shi, Bibo Shi, 2015, Neurocomputing.

Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning pdf

Jundong Liu, Chi Wah Wong, Kei Hang Katie Chan, 2021, ArXiv.

Vision-guided Collision Avoidance Through Deep Reinforcement Learning

Jundong Liu, Sirui Song, Xi Qin, 2021, National Aerospace and Electronics Conference.

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning

Jundong Liu, Sirui Song, Ye Yue, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models

Jundong Liu, Zhewei Wang, Charles D. Smith, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

Distribution-based Level Set Segmentation for Brain MR Images

Jundong Liu, David M. Chelberg, Charles D. Smith, 2007, BMVC.

Efficient multi-modal image registration using local-frequency maps

Jundong Liu, Baba C. Vemuri, Frank J. Bova, 2002, Machine Vision and Applications.

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups

Jundong Liu, Bibo Shi, Charles D. Smith, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Dilated FCN: Listening Longer to Hear Better

Jundong Liu, Tao Sun, Li Xu, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Residual Pyramid Fcn for Robust Follicle Segmentation

Jundong Liu, Charles D. Smith, Zhewei Wang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).