Jundong Liu

According to our database, Jundong Liu authored at least 59 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits.

Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Stroke mortality prediction based on ensemble learning and the combination of structured and textual data.

Ruixuan Huang, Jundong Liu, Tsz Kin Wan, Damrongrat Siriwanna, Yat Ming Peter Woo, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan

Comput. Biol. Medicine, March, 2023

Joint ANN-SNN Co-training for Object Localization and Image Segmentation.

Marc Baltes, Nidal Abujahar, Ye Yue, Charles D. Smith, Jundong Liu

CoRR, 2023

Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation.

Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu

CoRR, 2023

Comparison and Analysis of PVE Test Methods Based on OBD System.

Wen Zhang, Penghao Jiao, Jundong Liu, Xionghui Zou

Proceedings of the IEEE International Conference on Smart Internet of Things, 2023

Vertex-Based Networks to Accelerate Path Planning Algorithms.

Yuanhang Zhang, Jundong Liu

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Holistic FOD Detection Via Surface Map and Yolo Networks.

Sirui Song, Xi Qin, Jackson Brengman, Chris Bartone, Jundong Liu

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation.

Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Joint Ann-SNN Co-training for Object Localization and Image Segmentation.

Marc Baltes, Nidal Abuhajar, Ye Yue, Charles D. Smith, Jundong Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

Jundong Liu, Peng Ren, Xinrong Lyu, Christos Grecos

Remote. Sens., 2022

Individualized Conditioning and Negative Distances for Speaker Separation.

Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning.

Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

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

Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

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

Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan

CoRR, 2021

Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations.

Tao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2019

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

Tao Sun, Zhewei Wang, Charles D. Smith, Jundong Liu

CoRR, 2019

Dilated FCN: Listening Longer to Hear Better.

Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Residual Pyramid Fcn for Robust Follicle Segmentation.

Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Nonlinear metric learning for <i>k</i>NN and SVMs through geometric transformations.

Bibo Shi, Jundong Liu

Neurocomputing, 2018

Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation.

Zhewei Wang, Charles D. Smith, Jundong Liu

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups.

Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498].

Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu

Pattern Recognit., 2017

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

Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu

Pattern Recognit., 2017

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion.

Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble.

Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Hippocampus segmentation through multi-view ensemble ConvNets.

Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

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

Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting.

Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations.

Bibo Shi, Jundong Liu

CoRR, 2015

Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis.

Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

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

Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Distance-informed metric learning for Alzheimer's disease staging.

Bibo Shi, Zhewei Wang, Jundong Liu

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Spatial-awareness spectral embedding (SASE) for robust shape matching.

Huihui Xu, Jundong Liu

Proceedings of the IEEE International Conference on Acoustics, 2013

Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice.

Bibo Shi, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Preface.

Robert A. Colvin, Jundong Liu

BMC Bioinform., 2012

Regularity-guaranteed transformation estimation in medical image registration.

Bibo Shi, Jundong Liu

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Riemannian Shape Analysis Based on Meridian Curves.

Shuisheng Xie, Jundong Liu, Charles D. Smith

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Robust and efficient point registration based on clusters and Generalized Radial Basis Functions (C-GRBF).

Huihui Xu, Jundong Liu, Charles D. Smith

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Curve skeleton-based shape representation and classification.

Shuisheng Xie, Jundong Liu, Charles D. Smith

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Non-Twist Regularization for Deformation Estimation.

Bibo Shi, Jundong Liu

Proceedings of the Medical Image Understanding and Analysis, 2011

2010

GPU Acceleration of Robust Point Matching.

Chad Mourning, Scott Nykl, Huihui Xu, David M. Chelberg, Jundong Liu

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

2009

Automatic Multiple Sclerosis detection based on integrated square estimation.

Jundong Liu, Charles D. Smith, Hima Chebrolu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2007

A Robust Image Segmentation Model Based on Integrated Square Estimation.

Shuisheng Xie, Jundong Liu, Darlene E. Berryman, Edward O. List, Charles D. Smith, Hima Chebrolu

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Automatic Subcortical Structure Segmentation Using Probabilistic Atlas.

Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Distribution-based Level Set Segmentation for Brain MR Images.

Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu

Proceedings of the British Machine Vision Conference 2007, 2007

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

Jundong Liu, Charles D. Smith, Hima Chebrolu

Proceedings of the Computer Vision, 2007

2006

Robust Image Segmentation using Local Median.

Jundong Liu

Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

A Unified Framework for Segmentation-Assisted Image Registration.

Jundong Liu, Yang Wang, Junhong Liu

Proceedings of the Computer Vision, 2006

2005

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

Chunming Li, Jundong Liu, Martin D. Fox

Pattern Recognit., 2005

Segmentation guided registration for medical images.

Jundong Liu

Proceedings of the Medical Imaging 2005: Image Processing, 2005

Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes.

Chunming Li, Jundong Liu, Martin D. Fox

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Artifact reduction in mutual-information-based CT-MR image registration.

Mingxiu Wei, Jundong Liu, Junhong Liu

Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003

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

Lin Yang, Jundong Liu, Charles Cavanaugh, Lonnie R. Welch

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003

Artifacts reduction in mutual information-based image registration using prior information.

Jundong Liu

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Local Frequency Representations for Robust Multimodal Image Registration.

Jundong Liu, Baba C. Vemuri, José L. Marroquín

IEEE Trans. Medical Imaging, 2002

Efficient multi-modal image registration using local-frequency maps.

Jundong Liu, Baba C. Vemuri, Frank J. Bova

Mach. Vis. Appl., 2002

2001

Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration.

Jundong Liu

Proceedings of the 6th International Fall Workshop on Vision, Modeling, and Visualization, 2001

Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps.

Baba C. Vemuri, Jundong Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Robust Multimodal Image Registration Using Local Frequency Representations.

Baba C. Vemuri, Jundong Liu, José L. Marroquín

Proceedings of the Information Processing in Medical Imaging, 2001