Jundong Liu

Orcid: 0000-0002-9049-2832

According to our database1, Jundong Liu authored at least 60 papers between 2001 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2025
A hybrid inversion algorithm to obtain the resistivity of the uninvaded zone based on the array induction log.
Comput. Geosci., 2025

2024
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits.
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.
Comput. Biol. Medicine, March, 2023

Joint ANN-SNN Co-training for Object Localization and Image Segmentation.
CoRR, 2023

Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation.
CoRR, 2023

Comparison and Analysis of PVE Test Methods Based on OBD System.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2023

Vertex-Based Networks to Accelerate Path Planning Algorithms.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Holistic FOD Detection Via Surface Map and Yolo Networks.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Joint Ann-SNN Co-training for Object Localization and Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images.
Remote. Sens., 2022

Individualized Conditioning and Negative Distances for Speaker Separation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning.
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.
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.
CoRR, 2021

Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2019
Trace-back Along Capsules and Its Application on Semantic Segmentation.
CoRR, 2019

Dilated FCN: Listening Longer to Hear Better.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Residual Pyramid Fcn for Robust Follicle Segmentation.
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.
Neurocomputing, 2018

Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups.
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].
Pattern Recognit., 2017

Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis.
Pattern Recognit., 2017

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Hippocampus segmentation through multi-view ensemble ConvNets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Quad-mesh based radial distance biomarkers for Alzheimer's disease.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations.
CoRR, 2015

Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis.
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.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Distance-informed metric learning for Alzheimer's disease staging.
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.
Proceedings of the IEEE International Conference on Acoustics, 2013

Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Preface.
BMC Bioinform., 2012

Regularity-guaranteed transformation estimation in medical image registration.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Riemannian Shape Analysis Based on Meridian Curves.
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).
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Curve skeleton-based shape representation and classification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Non-Twist Regularization for Deformation Estimation.
Proceedings of the Medical Image Understanding and Analysis, 2011

2010
GPU Acceleration of Robust Point Matching.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

2009
Automatic Multiple Sclerosis detection based on integrated square estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2007
A Robust Image Segmentation Model Based on Integrated Square Estimation.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Automatic Subcortical Structure Segmentation Using Probabilistic Atlas.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Distribution-based Level Set Segmentation for Brain MR Images.
Proceedings of the British Machine Vision Conference 2007, 2007

A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation.
Proceedings of the Computer Vision, 2007

2006
Robust Image Segmentation using Local Median.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

A Unified Framework for Segmentation-Assisted Image Registration.
Proceedings of the Computer Vision, 2006

2005
Segmentation of external force field for automatic initialization and splitting of snakes.
Pattern Recognit., 2005

Segmentation guided registration for medical images.
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.
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.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003
A L2E-Based QoS Forecasting Algorithm for Dynamic, Distributed Real-Time Systems.
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.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Local Frequency Representations for Robust Multimodal Image Registration.
IEEE Trans. Medical Imaging, 2002

Efficient multi-modal image registration using local-frequency maps.
Mach. Vis. Appl., 2002

2001
Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration.
Proceedings of the 6th International Fall Workshop on Vision, Modeling, and Visualization, 2001

Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Robust Multimodal Image Registration Using Local Frequency Representations.
Proceedings of the Information Processing in Medical Imaging, 2001


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