Brian Y. Chen
Orcid: 0000-0001-9025-0107
According to our database1,
Brian Y. Chen
authored at least 32 papers
between 2003 and 2025.
Collaborative distances:
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Bibliography
2025
Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks.
IEEE Trans. Medical Imaging, January, 2025
2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
A Containerization Framework for Bioinformatics Software to Advance Scalability, Portability, and Maintainability.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
A Conical Representation of Hydrogen Bond Geometry for Quantifying Bond Interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Precise parallel volumetric comparison of molecular surfaces and electrostatic isopotentials.
Algorithms Mol. Biol., 2020
2019
Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
A Volumetric Survey of Cavities and Electrostatic Patterns in Protein-RNA Binding Sites.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
ACM-BCB 2018 Computational Structural Bioinformatics Workshop (CSBW) Chairs' Welcome.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
Influential Mutations in the SMAD4 Trimer Complex Can Be Detected from Disruptions of Electrostatic Complementarity.
J. Comput. Biol., 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2014
VASP-E: Specificity Annotation with a Volumetric Analysis of Electrostatic Isopotentials.
PLoS Comput. Biol., 2014
2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
A volumetric method for representing and comparing regions of electrostatic focusing in molecular structure.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Nucleic Acids Res., 2011
2010
VASP: A Volumetric Analysis of Surface Properties Yields Insights into Protein-Ligand Binding Specificity.
PLoS Comput. Biol., 2010
Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction.
BMC Bioinform., 2010
2008
Prediction of enzyme function based on 3D templates of evolutionarily important amino acids.
BMC Bioinform., 2008
2007
The MASH Pipeline for Protein Function Prediction and an Algorithm for the Geometric Refinement of 3D Motifs.
J. Comput. Biol., 2007
Cavity Scaling: Automated Refinement of Cavity-Aware motifs in protein Function Prediction.
J. Bioinform. Comput. Biol., 2007
2006
Geometric Sieving: Automated Distributed Optimization of 3D Motifs for Protein Function Prediction.
Proceedings of the Research in Computational Molecular Biology, 2006
2005
IEEE Trans. Robotics, 2005
Proceedings of the Biocomputing 2005, 2005
2003
Proceedings of the Robotics Research, The Eleventh International Symposium, 2003
Multiple query probabilistic roadmap planning using single query planning primitives.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003