Daisuke Kihara
Orcid: 0000-0003-4091-6614
According to our database1,
Daisuke Kihara
authored at least 76 papers
between 2006 and 2024.
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Bibliography
2024
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling.
CoRR, 2024
2023
Enhancing cryo-EM maps with 3D deep generative networks for assisting protein structure modeling.
Bioinform., August, 2023
Frontiers Bioinform., May, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Using steered molecular dynamic tension for assessing quality of computational protein structure models.
J. Comput. Chem., 2022
OC_Finder: Osteoclast Segmentation, Counting, and Classification Using Watershed and Deep Learning.
Frontiers Bioinform., 2022
Frontiers Bioinform., 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations.
IEEE Trans. Image Process., 2021
Nucleic Acids Res., 2021
Efficient Flexible Fitting Refinement with Automatic Error Fixing for De Novo Structure Modeling from Cryo-EM Density Maps.
J. Chem. Inf. Model., 2021
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties.
Comput. Graph., 2021
Protein contact map refinement for improving structure prediction using generative adversarial networks.
Bioinform., 2021
Proceedings of the 14th Eurographics Workshop on 3D Object Retrieval, 2021
Proceedings of the 14th Eurographics Workshop on 3D Object Retrieval, 2021
2020
Proceedings of the Protein-Protein Interaction Networks, Methods and Protocols., 2020
Source Code Biol. Medicine, 2020
MAINMASTseg: Automated Map Segmentation Method for Cryo-EM Density Maps with Symmetry.
J. Chem. Inf. Model., 2020
Bioinform., 2020
A Simple But Effective Bert Model for Dialog State Tracking on Resource-Limited Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019
Pattern Recognit., 2019
Predicting binding poses and affinity ranking in D3R Grand Challenge using PL-PatchSurfer2.0.
J. Comput. Aided Mol. Des., 2019
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning.
CoRR, 2019
Prediction of protein group function by iterative classification on functional relevance network.
Bioinform., 2019
Phylo-PFP: improved automated protein function prediction using phylogenetic distance of distantly related sequences.
Bioinform., 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019
Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019
2018
IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
PLoS Comput. Biol., 2018
2017
PLoS Comput. Biol., 2017
NaviGO: interactive tool for visualization and functional similarity and coherence analysis with gene ontology.
BMC Bioinform., 2017
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017
2016
Combined Approach of Patch-Surfer and PL-PatchSurfer for Protein-Ligand Binding Prediction in CSAR 2013 and 2014.
J. Chem. Inf. Model., 2016
PL-PatchSurfer2: Improved Local Surface Matching-Based Virtual Screening Method That Is Tolerant to Target and Ligand Structure Variation.
J. Chem. Inf. Model., 2016
Ranking protein-protein docking results using steered molecular dynamics and potential of mean force calculations.
J. Comput. Chem., 2016
Genome-scale prediction of moonlighting proteins using diverse protein association information.
Bioinform., 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
2015
Nucleic Acids Res., 2015
Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0.
Bioinform., 2015
PFP/ESG: automated protein function prediction servers enhanced with Gene Ontology visualization tool.
Bioinform., 2015
Proceedings of the 2015 Information Theory and Applications Workshop, 2015
2014
IEEE Trans. Image Process., 2014
The International Society of Computational Biology presents: the Great Lakes Bioinformatics Conference, May 16-18, 2014, Cincinnati, Ohio.
Bioinform., 2014
2013
In-depth performance evaluation of PFP and ESG sequence-based function prediction methods in CAFA 2011 experiment.
BMC Bioinform., 2013
Proceedings of the IEEE International Conference on Systems, 2013
2012
BMC Bioinform., 2012
Constructing patch-based ligand-binding pocket database for predicting function of proteins.
BMC Bioinform., 2012
BMC Bioinform., 2012
Evaluation of multiple protein docking structures using correctly predicted pairwise subunits.
BMC Bioinform., 2012
Bioinform., 2012
2011
Quantification of Protein Group Coherence and Pathway Assignment Using Functional Association.
BMC Bioinform., 2011
2010
Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map.
Int. J. Knowl. Discov. Bioinform., 2010
Improved protein surface comparison and application to low-resolution protein structure data.
BMC Bioinform., 2010
Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PFP.
BMC Bioinform., 2010
2009
J. Cheminformatics, 2009
BMC Bioinform., 2009
Bioinform., 2009
Bioinform., 2009
2008
Combining gene sequence similarity and textual information for gene function annotation in the literature.
Inf. Retr., 2008
2007
Proceedings of the 2007 ACM Symposium on Solid and Physical Modeling, 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
BMC Bioinform., 2006