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)

Mid-fusiform Activation during Object Discrimination Reflects the Process of Differentiating Structural Descriptions. - Xun Liu 001; Nicholas A. Steinmetz; Alison B. Farley; Charles D. Smith; Jane E. Joseph (J. Cogn. Neurosci., 2008)

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

Alterations in multiple measures of white matter integrity in normal women at high risk for Alzheimer's disease. - Brian T. Gold; David K. Powell; Anders H. Andersen; Charles D. Smith (NeuroImage, 2010)

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)

Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease. - Joseph C. McBride; Xiaopeng Zhao; Nancy B. Munro; Charles D. Smith; Gregory A. Jicha; Lee M. Hively; Lucas S. Broster; Frederick A. Schmitt; Richard J. Kryscio; Yang Jiang 001 (Comput. Methods Programs Biomed., 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 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)

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)

Distinct patterns of default mode and executive control network circuitry contribute to present and future executive function in older adults. - Christopher A. Brown; Frederick A. Schmitt; Charles D. Smith; Brian T. Gold (NeuroImage, 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)

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)

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)

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)

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)