Robust Multimodal Image Registration Using Local Frequency Representations. - Baba C. Vemuri; Jundong Liu; José L. Marroquín (IPMI, 2001)

Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps. - Baba C. Vemuri; Jundong Liu (MICCAI, 2001)

Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration. - Jundong Liu (VMV, 2001)

Efficient multi-modal image registration using local-frequency maps. - Jundong Liu; Baba C. Vemuri; Frank J. Bova (Mach. Vis. Appl., 2002)

Local Frequency Representations for Robust Multimodal Image Registration. - Jundong Liu; Baba C. Vemuri; José L. Marroquín (IEEE Trans. Medical Imaging, 2002)

Artifacts reduction in mutual information-based image registration using prior information. - Jundong Liu (ICIP (1), 2003)

A L2E-Based QoS Forecasting Algorithm for Dynamic, Distributed Real-Time Systems. - Lin Yang; Jundong Liu; Charles Cavanaugh; Lonnie R. Welch (PDPTA, 2003)

Artifact reduction in mutual-information-based CT-MR image registration. - Mingxiu Wei; Jundong Liu; Junhong Liu (Image Processing, 2004)

Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes. - Chunming Li; Jundong Liu; Martin D. Fox (CVPR (1), 2005)

Segmentation guided registration for medical images. - Jundong Liu (Image Processing, 2005)

Segmentation of external force field for automatic initialization and splitting of snakes. - Chunming Li; Jundong Liu; Martin D. Fox (Pattern Recognit., 2005)

A Unified Framework for Segmentation-Assisted Image Registration. - Jundong Liu; Yang Wang; Junhong Liu (ACCV (2), 2006)

Robust Image Segmentation using Local Median. - Jundong Liu (CRV, 2006)

A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation. - Jundong Liu; Charles D. Smith; Hima Chebrolu (ACCV (1), 2007)

Distribution-based Level Set Segmentation for Brain MR Images. - Jundong Liu; David M. Chelberg; Charles D. Smith; Hima Chebrolu (BMVC, 2007)

Automatic Subcortical Structure Segmentation Using Probabilistic Atlas. - Jundong Liu; David M. Chelberg; Charles D. Smith; Hima Chebrolu (ISVC (1), 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 (ISVC (2), 2007)

Automatic Multiple Sclerosis detection based on integrated square estimation. - Jundong Liu; Charles D. Smith; Hima Chebrolu (CVPR Workshops, 2009)

GPU Acceleration of Robust Point Matching. - Chad Mourning; Scott Nykl; Huihui Xu; David M. Chelberg; Jundong Liu (ISVC (3), 2010)

Non-Twist Regularization for Deformation Estimation. - Bibo Shi; Jundong Liu (MIUA, 2011)

Curve skeleton-based shape representation and classification. - Shuisheng Xie; Jundong Liu; Charles D. Smith (ICIP, 2012)

Robust and efficient point registration based on clusters and Generalized Radial Basis Functions (C-GRBF). - Huihui Xu; Jundong Liu; Charles D. Smith (ICIP, 2012)

Riemannian Shape Analysis Based on Meridian Curves. - Shuisheng Xie; Jundong Liu; Charles D. Smith (ICMLA (1), 2012)

Regularity-guaranteed transformation estimation in medical image registration. - Bibo Shi; Jundong Liu (Image Processing, 2012)

Preface. - Robert A. Colvin; Jundong Liu (BMC Bioinform., 2012)

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 (EMBC, 2013)

Spatial-awareness spectral embedding (SASE) for robust shape matching. - Huihui Xu; Jundong Liu (ICASSP, 2013)

Distance-informed metric learning for Alzheimer's disease staging. - Bibo Shi; Zhewei Wang; Jundong Liu (EMBC, 2014)

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 (BMVC, 2015)

Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. - Yani Chen; Bibo Shi; Charles D. Smith; Jundong Liu (MLMI, 2015)

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations. - Bibo Shi; Jundong Liu (CoRR, 2015)

Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. - Pin Zhang; Bibo Shi; Charles D. Smith; Jundong Liu (ICMLA, 2016)

Quad-mesh based radial distance biomarkers for Alzheimer's disease. - Kevin Hobbs; Pin Zhang; Bibo Shi; Charles D. Smith; Jundong Liu (ISBI, 2016)

Hippocampus segmentation through multi-view ensemble ConvNets. - Yani Chen; Bibo Shi; Zhewei Wang; Pin Zhang; Charles D. Smith; Jundong Liu (ISBI, 2017)

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble. - Yani Chen; Bibo Shi; Zhewei Wang; Tao Sun 026; Charles D. Smith; Jundong Liu (MLMI@MICCAI, 2017)

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion. - Pin Zhang; Bibo Shi; Charles D. Smith; Jundong Liu (MICCAI (3), 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)

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 Metric Learning through Geodesic Interpolation within Lie Groups. - Zhewei Wang; Bibo Shi; Charles D. Smith; Jundong Liu (ICPR, 2018)

Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. - Zhewei Wang; Charles D. Smith; Jundong Liu (MLMI@MICCAI, 2018)

Nonlinear metric learning for kNN and SVMs through geometric transformations. - Bibo Shi; Jundong Liu (Neurocomputing, 2018)

Residual Pyramid Fcn for Robust Follicle Segmentation. - Zhewei Wang; Weizhen Cai; Charles D. Smith; Noriko Kantake; Thomas J. Rosol; Jundong Liu (ISBI, 2019)

Dilated FCN: Listening Longer to Hear Better. - Shuyu Gong; Zhewei Wang; Tao Sun 026; Yuanhang Zhang; Charles D. Smith; Li Xu; Jundong Liu (WASPAA, 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 (CoRR, 2019)

Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations. - Tao Sun 026; Shuyu Gong; Zhewei Wang; Charles D. Smith; Xianhui Wang; Li Xu; Jundong Liu (ICMLA, 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)

Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. - Binhua Liao; Yani Chen; Zhewei Wang; Charles D. Smith; Jundong Liu (ICMLA, 2022)

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning. - Sirui Song; Kirk Saunders; Ye Yue; Jundong Liu (ICMLA, 2022)

Individualized Conditioning and Negative Distances for Speaker Separation. - Tao Sun 026; Nidal Abuhajar; Shuyu Gong; Zhewei Wang; Charles D. Smith; Xianhui Wang; Li Xu; Jundong Liu (ICMLA, 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 (CoRR, 2022)

A Gamma-Log Net for Oil Spill Detection in Inhomogeneous SAR Images. - Jundong Liu; Peng Ren 001; Xinrong Lyu; Christos Grecos (Remote. Sens., 2022)

Joint Ann-SNN Co-training for Object Localization and Image Segmentation. - Marc Baltes; Nidal Abuhajar; Ye Yue; Charles D. Smith; Jundong Liu (ICASSP, 2023)

Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation. - Ye Yue; Marc Baltes; Nidal Abujahar; Tao Sun 026; Charles D. Smith; Trevor Bihl; Jundong Liu (ISBI, 2023)

Holistic FOD Detection Via Surface Map and Yolo Networks. - Sirui Song; Xi Qin; Jackson Brengman; Chris Bartone; Jundong Liu (MLSP, 2023)

Vertex-Based Networks to Accelerate Path Planning Algorithms. - Yuanhang Zhang; Jundong Liu (MLSP, 2023)

Comparison and Analysis of PVE Test Methods Based on OBD System. - Wen Zhang; Penghao Jiao; Jundong Liu; Xionghui Zou (SmartIoT, 2023)

Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation. - Ye Yue; Marc Baltes; Nidal Abujahar; Tao Sun 026; Charles D. Smith; Trevor Bihl; Jundong Liu (CoRR, 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)

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, 2023)

Multi-class Prediction of Cognitively Normal / Mild Cognitive Impairment / Alzheimer's Disease Status in Dementia Based on Convolutional Neural Networks with Attention Mechanism. - Mingwei Yao; Jundong Liu; Yuping Pu; Kei Hang Katie Chan (EMBC, 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 (HICSS, 2024)

Semi-Supervised Learning and Focal Masking for Vessel Segmentation in X-Ray Coronary Angiography. - Zhewei Wang; Jundong Liu (ICMLA, 2024)

Enforcing Graph Structures to Enhance Key Information Extraction in Document Analysis. - Rajashree Majumder; Zhewei Wang; Ye Yue; Mukut Kalita; Jundong Liu (VISIGRAPP (3): VISAPP, 2025)

A hybrid inversion algorithm to obtain the resistivity of the uninvaded zone based on the array induction log. - Xinmin Ge; Mohmmed Ishag; Haiyan Li; Jundong Liu; Cuixia Qu; Badreldein Mohamed (Comput. Geosci., 2025)