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ORCIDJundong Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 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
- [j9]Ruixuan Huang
, Jundong Liu, Tsz Kin Wan, Damrongrat Siriwanna, Yat Ming Peter Woo, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan:
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data. Comput. Biol. Medicine 155: 106176 (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 - [i13]Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu:
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
- [j8]Jundong Liu, Peng Ren, Xinrong Lyu, Christos Grecos:
A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images. Remote. Sens. 14(16): 4074 (2022) - [c39]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. 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 - [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
- [c36]Tao Sun, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu:
Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. ICMLA 2021: 992-997 - [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)
2010 – 2019
- 2019
- [c35]Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu:
Residual Pyramid Fcn for Robust Follicle Segmentation. ISBI 2019: 463-467 - [c34]Shuyu Gong, Zhewei Wang, Tao Sun, Yuanhang Zhang, Charles D. Smith, Li Xu, Jundong Liu:
Dilated FCN: Listening Longer to Hear Better. WASPAA 2019: 254-258 - [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
- [j7]Bibo Shi, Jundong Liu:
Nonlinear metric learning for kNN and SVMs through geometric transformations. Neurocomputing 318: 18-29 (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 - [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) - 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) - [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, Charles D. Smith, Jundong Liu:
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 - [i1]Bibo Shi, Jundong Liu:
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. CoRR abs/1508.01534 (2015) - 2014
- [c24]Bibo Shi, Zhewei Wang, Jundong Liu:
Distance-informed metric learning for Alzheimer's disease staging. EMBC 2014: 934-937 - 2013
- [c23]Bibo Shi, Shuisheng Xie, Darlene E. Berryman, Edward O. List, Jundong Liu:
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
- [j4]Robert A. Colvin, Jundong Liu:
Preface. BMC Bioinform. 13(S-2): I1 (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. Medical Imaging: 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
2000 – 2009
- 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
- [j3]Chunming Li, Jundong Liu, Martin D. Fox:
Segmentation of external force field for automatic initialization and splitting of snakes. Pattern Recognit. 38(11): 1947-1960 (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. Medical Imaging: Image Processing 2005 - 2004
- [c6]Mingxiu Wei, Jundong Liu, Junhong Liu:
Artifact reduction in mutual-information-based CT-MR image registration. Medical Imaging: 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 - 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) - 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
Coauthor Index
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