Charles D. Smith

According to our database1, Charles D. Smith authored at least 33 papers between 2007 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

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
Individualized Conditioning and Negative Distances for Speaker Separation.
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
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
Distinct patterns of default mode and executive control network circuitry contribute to present and future executive function in older adults.
NeuroImage, 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
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 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
Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease.
Comput. Methods Programs Biomed., 2014

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

2010
Alterations in multiple measures of white matter integrity in normal women at high risk for Alzheimer's disease.
NeuroImage, 2010

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

2008
Mid-fusiform Activation during Object Discrimination Reflects the Process of Differentiating Structural Descriptions.
J. Cogn. Neurosci., 2008

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


  Loading...