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Jundong Liu
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Journal Articles
- 2023
- [j9]Ruixuan Huang
, Jundong Liu
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data. Comput. Biol. Medicine 155: 106176 (2023) - 2022
- [j8]Jundong Liu
A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images. Remote. Sens. 14(16): 4074 (2022) - 2018
- [j7]Bibo Shi, Jundong Liu
Nonlinear metric learning for kNN and SVMs through geometric transformations. Neurocomputing 318: 18-29 (2018) - 2017
- [j6]Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu:
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. Pattern Recognit. 63: 487-498 (2017) - [j5]Bibo Shi, Yani Chen, Pin Zhang, Charles D. Smith, Jundong Liu:
Erratum to "Nonlinear feature transformation and deep fusion for Alzheimer's disease staging analysis" [Pattern Recognition 63 (2017) 487-498]. Pattern Recognit. 66: 447 (2017) - 2012
- [j4]Robert A. Colvin, Jundong Liu:
Preface. BMC Bioinform. 13(S-2): I1 (2012) - 2005
- [j3]Chunming Li
Segmentation of external force field for automatic initialization and splitting of snakes. Pattern Recognit. 38(11): 1947-1960 (2005) - 2002
- [j2]Jundong Liu, Baba C. Vemuri, Frank J. Bova:
Efficient multi-modal image registration using local-frequency maps. Mach. Vis. Appl. 13(3): 149-163 (2002) - [j1]Jundong Liu, Baba C. Vemuri, José L. Marroquín:
Local Frequency Representations for Robust Multimodal Image Registration. IEEE Trans. Medical Imaging 21(5): 462-469 (2002)
Conference and Workshop Papers
- 2024
- [c45]Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs:
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS 2024: 7561-7570 - 2023
- [c44]Marc Baltes, Nidal Abuhajar, Ye Yue, Charles D. Smith, Jundong Liu:
Joint Ann-SNN Co-training for Object Localization and Image Segmentation. ICASSP 2023: 1-5 - [c43]Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu:
Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation. ISBI 2023: 1-5 - [c42]Sirui Song, Xi Qin, Jackson Brengman, Chris Bartone, Jundong Liu:
Holistic FOD Detection Via Surface Map and Yolo Networks. MLSP 2023: 1-6 - [c41]Yuanhang Zhang, Jundong Liu:
Vertex-Based Networks to Accelerate Path Planning Algorithms. MLSP 2023: 1-6 - [c40]Wen Zhang, Penghao Jiao, Jundong Liu, Xionghui Zou:
Comparison and Analysis of PVE Test Methods Based on OBD System. SmartIoT 2023: 270-274 - 2022
- [c39]Tao Sun
Individualized Conditioning and Negative Distances for Speaker Separation. ICMLA 2022: 687-692 - [c38]Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu:
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. ICMLA 2022: 914-919 - [c37]Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu:
Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. ICMLA 2022: 963-968 - 2021
- [c36]Tao Sun
Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. ICMLA 2021: 992-997 - 2019
- [c35]Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol
Residual Pyramid Fcn for Robust Follicle Segmentation. ISBI 2019: 463-467 - [c34]Shuyu Gong, Zhewei Wang, Tao Sun
Dilated FCN: Listening Longer to Hear Better. WASPAA 2019: 254-258 - 2018
- [c33]Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. ICPR 2018: 898-903 - [c32]Zhewei Wang, Charles D. Smith, Jundong Liu:
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. MLMI@MICCAI 2018: 223-232 - 2017
- [c31]Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu:
Hippocampus segmentation through multi-view ensemble ConvNets. ISBI 2017: 192-196 - [c30]Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. MICCAI (3) 2017: 12-20 - [c29]Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun
Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. MLMI@MICCAI 2017: 88-96 - 2016
- [c28]Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. ICMLA 2016: 314-319 - [c27]Kevin Hobbs, Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Quad-mesh based radial distance biomarkers for Alzheimer's disease. ISBI 2016: 19-23 - 2015
- [c26]Bibo Shi, Yani Chen, Kevin Hobbs, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning for Alzheimer's Disease Diagnosis with Integration of Longitudinal Neuroimaging Features. BMVC 2015: 138.1-138.13 - [c25]Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI 2015: 304-312 - 2014
- [c24]Bibo Shi
Distance-informed metric learning for Alzheimer's disease staging. EMBC 2014: 934-937 - 2013
- [c23]Bibo Shi
Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. EMBC 2013: 2312-2315 - [c22]Huihui Xu, Jundong Liu:
Spatial-awareness spectral embedding (SASE) for robust shape matching. ICASSP 2013: 2075-2079 - 2012
- [c21]Shuisheng Xie, Jundong Liu, Charles D. Smith:
Curve skeleton-based shape representation and classification. ICIP 2012: 529-532 - [c20]Huihui Xu, Jundong Liu, Charles D. Smith:
Robust and efficient point registration based on clusters and Generalized Radial Basis Functions (C-GRBF). ICIP 2012: 1669-1672 - [c19]Shuisheng Xie, Jundong Liu, Charles D. Smith:
Riemannian Shape Analysis Based on Meridian Curves. ICMLA (1) 2012: 532-537 - [c18]Bibo Shi, Jundong Liu:
Regularity-guaranteed transformation estimation in medical image registration. Image Processing 2012: 83141W - 2011
- [c17]Bibo Shi, Jundong Liu:
Non-Twist Regularization for Deformation Estimation. MIUA 2011: 147-152 - 2010
- [c16]Chad Mourning, Scott Nykl, Huihui Xu, David M. Chelberg, Jundong Liu:
GPU Acceleration of Robust Point Matching. ISVC (3) 2010: 417-426 - 2009
- [c15]Jundong Liu, Charles D. Smith, Hima Chebrolu:
Automatic Multiple Sclerosis detection based on integrated square estimation. CVPR Workshops 2009: 31-38 - 2007
- [c14]Jundong Liu, Charles D. Smith, Hima Chebrolu:
A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation. ACCV (1) 2007: 956-964 - [c13]Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu:
Distribution-based Level Set Segmentation for Brain MR Images. BMVC 2007: 1-10 - [c12]Jundong Liu, David M. Chelberg, Charles D. Smith, Hima Chebrolu:
Automatic Subcortical Structure Segmentation Using Probabilistic Atlas. ISVC (1) 2007: 170-178 - [c11]Shuisheng Xie, Jundong Liu, Darlene E. Berryman, Edward O. List, Charles D. Smith, Hima Chebrolu:
A Robust Image Segmentation Model Based on Integrated Square Estimation. ISVC (2) 2007: 643-651 - 2006
- [c10]Jundong Liu, Yang Wang, Junhong Liu:
A Unified Framework for Segmentation-Assisted Image Registration. ACCV (2) 2006: 405-414 - [c9]Jundong Liu:
Robust Image Segmentation using Local Median. CRV 2006: 31 - 2005
- [c8]Chunming Li, Jundong Liu, Martin D. Fox:
Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes. CVPR (1) 2005: 162-167 - [c7]Jundong Liu:
Segmentation guided registration for medical images. Image Processing 2005 - 2004
- [c6]Mingxiu Wei, Jundong Liu, Junhong Liu:
Artifact reduction in mutual-information-based CT-MR image registration. Image Processing 2004 - 2003
- [c5]Jundong Liu:
Artifacts reduction in mutual information-based image registration using prior information. ICIP (1) 2003: 1113-1116 - [c4]Lin Yang, Jundong Liu, Charles Cavanaugh, Lonnie R. Welch:
A L2E-Based QoS Forecasting Algorithm for Dynamic, Distributed Real-Time Systems. PDPTA 2003: 424-429 - 2001
- [c3]Baba C. Vemuri, Jundong Liu, José L. Marroquín:
Robust Multimodal Image Registration Using Local Frequency Representations. IPMI 2001: 176-182 - [c2]Baba C. Vemuri, Jundong Liu:
Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps. MICCAI 2001: 1363-1365 - [c1]Jundong Liu:
Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration. VMV 2001: 507-514
Informal and Other Publications
- 2023
- [i13]Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation. CoRR abs/2302.07328 (2023) - [i12]Marc Baltes, Nidal Abujahar, Ye Yue, Charles D. Smith, Jundong Liu:
Joint ANN-SNN Co-training for Object Localization and Image Segmentation. CoRR abs/2303.12738 (2023) - [i11]Yuanhang Zhang, Jundong Liu:
Vertex-based Networks to Accelerate Path Planning Algorithms. CoRR abs/2307.07059 (2023) - 2022
- [i10]Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu:
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models. CoRR abs/2210.06362 (2022) - [i9]Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu:
Individualized Conditioning and Negative Distances for Speaker Separation. CoRR abs/2210.06368 (2022) - [i8]Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu:
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. CoRR abs/2210.06377 (2022) - 2021
- [i7]Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan:
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning. CoRR abs/2109.09129 (2021) - 2019
- [i6]Tao Sun, Zhewei Wang, Charles D. Smith, Jundong Liu:
Trace-back Along Capsules and Its Application on Semantic Segmentation. CoRR abs/1901.02920 (2019) - [i5]Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu:
Residual Pyramid FCN for Robust Follicle Segmentation. CoRR abs/1901.03760 (2019) - [i4]Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu:
Dilated FCN: Listening Longer to Hear Better. CoRR abs/1907.11956 (2019) - 2018
- [i3]Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups. CoRR abs/1805.04784 (2018) - [i2]Zhewei Wang, Charles D. Smith, Jundong Liu:
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. CoRR abs/1807.09298 (2018) - 2015
- [i1]Bibo Shi, Jundong Liu:
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR abs/1508.01534 (2015)
Coauthor Index
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