Brian Y. Chen - RankMe

35 papers A 2B 1C 2Misc 1Journal 15Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation. CoRR Rong Zhou, Houliang Zhou, Yao Su, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2025	J	`jnl`	Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks. IEEE Trans. Medical Imaging Houliang Zhou, Lifang He, Brian Y. Chen, Li Shen, Yu Zhang
2025	J	`jnl`	Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks. CoRR Houliang Zhou, Rong Zhou, Yangying Liu, Kanhao Zhao, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2024	A	`conf`	Personalized Video Summarization by Multimodal Video Understanding. CIKM Brian Y. Chen, Xiangyuan Zhao, Yingnan Zhu
2024	J	`jnl`	Personalized Video Summarization by Multimodal Video Understanding. CoRR Brian Y. Chen, Xiangyuan Zhao, Yingnan Zhu
2023	—	`conf`	A Containerization Framework for Bioinformatics Software to Advance Scalability, Portability, and Maintainability. BCB Justin Z. Tam, Alexandra Chua, Adyn Gallagher, Denice Omene, Danielle Okun, Dominic DiFranzo, Brian Y. Chen
2023	—	`conf`	Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. MICCAI (2) Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He
2023	—	`conf`	Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. BIBM Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He
2023	—	`conf`	Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics. BIBM Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen
2022	J	`jnl`	ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinform. Brian Y. Chen, William Bone, Kim Lorenz, Michael Levin, Marylyn D. Ritchie, Benjamin F. Voight
2022	—	`conf`	Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease. MICCAI (8) Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He
2021	—	`conf`	A Conical Representation of Hydrogen Bond Geometry for Quantifying Bond Interactions. BIBM Chesphongphach Buranasilp, Brian Y. Chen
2021	—	`conf`	DiffBond: A Method for Predicting Intermolecular Bond Formation. BIBM Justin Z. Tam, Talulla Palumbo, Julie M. Miwa, Brian Y. Chen
2020	J	`jnl`	Precise parallel volumetric comparison of molecular surfaces and electrostatic isopotentials. Algorithms Mol. Biol. Georgi D. Georgiev, Kevin F. Dodd, Brian Y. Chen
2019	—	`conf`	A Volumetric Survey of Cavities and Electrostatic Patterns in Protein-RNA Binding Sites. BCB Devan Bicher, Brian Y. Chen
2019	—	`conf`	On Conformations of Peptides Bound to Class I Major Histocompatibility Complexes. BCB Jinbu Wang, Brian Y. Chen
2019	C	`conf`	pClay: A Precise Parallel Algorithm for Comparing Molecular Surfaces. WABI Georgi D. Georgiev, Kevin F. Dodd, Brian Y. Chen
2018	—	`conf`	ACM-BCB 2018 Computational Structural Bioinformatics Workshop (CSBW) Chairs' Welcome. BCB Filip Jagodzinski, Brian Y. Chen, Kevin Molloy
2018	—	`conf`	MAPS: Analyzing Peptide Binding Subsites in Major Histocompatibility Complexes. BCB Jinbu Wang, Brian Y. Chen
2017	J	`jnl`	Influential Mutations in the SMAD4 Trimer Complex Can Be Detected from Disruptions of Electrostatic Complementarity. J. Comput. Biol. Bridget E. Nolan, Emily Levenson, Brian Y. Chen
2017	—	`conf`	Investigating Rigidity Properties of Protein Cavities. BCB Stephanie Mason, Tim Woods, Brian Y. Chen, Filip Jagodzinski
2014	J	`jnl`	VASP-E: Specificity Annotation with a Volumetric Analysis of Electrostatic Isopotentials. PLoS Comput. Biol. Brian Y. Chen
2012	—	`conf`	A volumetric method for representing and comparing regions of electrostatic focusing in molecular structure. BCB Brian Y. Chen, Debdas Paul
2012	—	`conf`	Improving accuracy in binding site comparison with homology modeling. BIBM Workshops Brian G. Godshall, Brian Y. Chen
2011	J	`jnl`	MarkUs: a server to navigate sequence-structure-function space. Nucleic Acids Res. Markus Fischer, Qiangfeng Cliff Zhang, Fabian Dey, Brian Y. Chen, Barry Honig, Donald Petrey
2010	J	`jnl`	Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction. BMC Bioinform. Drew H. Bryant, Mark Moll, Brian Y. Chen, Viacheslav Fofanov, Lydia E. Kavraki
2010	J	`jnl`	VASP: A Volumetric Analysis of Surface Properties Yields Insights into Protein-Ligand Binding Specificity. PLoS Comput. Biol. Brian Y. Chen, Barry Honig
2008	J	`jnl`	Prediction of enzyme function based on 3D templates of evolutionarily important amino acids. BMC Bioinform. David M. Kristensen, R. Matthew Ward, Andreas Martin Lisewski, Serkan Erdin, Brian Y. Chen, Viacheslav Fofanov, Marek Kimmel, Lydia E. Kavraki, Olivier Lichtarge
2007	J	`jnl`	Cavity Scaling: Automated Refinement of Cavity-Aware motifs in protein Function Prediction. J. Bioinform. Comput. Biol. Brian Y. Chen, Drew H. Bryant, Viacheslav Fofanov, David M. Kristensen, Amanda E. Cruess, Marek Kimmel, Olivier Lichtarge, Lydia E. Kavraki
2007	J	`jnl`	The MASH Pipeline for Protein Function Prediction and an Algorithm for the Geometric Refinement of 3D Motifs. J. Comput. Biol. Brian Y. Chen, Viacheslav Fofanov, Drew H. Bryant, Bradley D. Dodson, David M. Kristensen, Andreas Martin Lisewski, Marek Kimmel, Olivier Lichtarge, Lydia E. Kavraki
2006	B	`conf`	Geometric Sieving: Automated Distributed Optimization of 3D Motifs for Protein Function Prediction. RECOMB Brian Y. Chen, Viacheslav Fofanov, Drew H. Bryant, Bradley D. Dodson, David M. Kristensen, Andreas Martin Lisewski, Marek Kimmel, Olivier Lichtarge, Lydia E. Kavraki
2005	Misc	`conf`	Algorithms for Structural Comparison and Statistical Analysis of 3D Protein Motifs. Pacific Symposium on Biocomputing Brian Y. Chen, Viacheslav Fofanov, David M. Kristensen, Marek Kimmel, Olivier Lichtarge, Lydia E. Kavraki
2005	J	`jnl`	Sampling-Based Roadmap of Trees for Parallel Motion Planning. IEEE Trans. Robotics Erion Plaku, Kostas E. Bekris, Brian Y. Chen, Andrew M. Ladd, Lydia E. Kavraki
2003	A	`conf`	Multiple query probabilistic roadmap planning using single query planning primitives. IROS Kostas E. Bekris, Brian Y. Chen, Andrew M. Ladd, Erion Plaku, Lydia E. Kavraki
2003	C	`conf`	Probabilistic Roadmaps of Trees for Parallel Computation of Multiple Query Roadmaps. ISRR Mert Akinc, Kostas E. Bekris, Brian Y. Chen, Andrew M. Ladd, Erion Plaku, Lydia E. Kavraki