Hanchuan Peng spends much of his time researching Artificial intelligence, Pattern recognition, Bioimage informatics, Neuroscience and Anatomy. His study focuses on the intersection of Artificial intelligence and fields such as Machine learning with connections in the field of Distance transform. His work in the fields of Minimum redundancy feature selection overlaps with other areas such as Brain morphometry.
His Minimum redundancy feature selection research includes elements of Phenotype, Microarray analysis techniques, Naive Bayes classifier, Support vector machine and Linear discriminant analysis. His study in the field of Biological neural network, Nervous system and Neuroanatomical Tract-Tracing Techniques is also linked to topics like Neurite. The Feature extraction study combines topics in areas such as Data mining, Feature selection and Redundancy.
Artificial intelligence, Computer vision, Pattern recognition, Tracing and Neuron are his primary areas of study. His research on Artificial intelligence often connects related topics like Machine learning. The Computer vision study which covers Visualization that intersects with Medical imaging and Computer graphics.
His Convolutional neural network and Feature extraction study in the realm of Pattern recognition connects with subjects such as Structure. His Feature extraction study incorporates themes from Feature selection and Redundancy. His research investigates the connection between Redundancy and topics such as Data mining that intersect with problems in Cluster analysis.
Hanchuan Peng mainly investigates Artificial intelligence, Pattern recognition, Neuron, Tracing and Neuroscience. His research in Artificial intelligence tackles topics such as Computer vision which are related to areas like Morphometric analysis. His Pattern recognition research is multidisciplinary, relying on both Visualization, Image and Skeleton.
His Visualization study combines topics from a wide range of disciplines, such as Image processing and Datasets as Topic. Hanchuan Peng interconnects Machine learning, Inhibitory postsynaptic potential, Excitatory postsynaptic potential and Balance in the investigation of issues within Neuron. He studied Neuroscience and Cell type that intersect with Transcriptome, Visual cortex, Interneuron, GABAergic and Electrophysiology.
His primary areas of investigation include Artificial intelligence, Neuroscience, Transcriptome, Cell type and Image segmentation. Hanchuan Peng combines Artificial intelligence and Tracing in his research. His studies deal with areas such as Cortex and Function as well as Transcriptome.
Image segmentation is the topic of his studies on Segmentation, Computer vision and Pattern recognition. He combines subjects such as Parvalbumin, Cortical neurons and Axon with his study of Electrophysiology. His Iterative reconstruction study incorporates themes from Scale-space segmentation, Segmentation-based object categorization, Deep learning, Voxel and Convolutional neural network.
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Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
Hanchuan Peng;Fuhui Long;C. Ding.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)
Minimum redundancy feature selection from microarray gene expression data.
Chris H. Q. Ding;Hanchuan Peng.
Journal of Bioinformatics and Computational Biology (2005)
A mesoscale connectome of the mouse brain
Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow.
A GAL4-Driver Line Resource for Drosophila Neurobiology
Arnim Jenett;Gerald M. Rubin;Teri-T.B. Ngo;David Shepherd.
Cell Reports (2012)
V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets
Hanchuan Peng;Zongcai Ruan;Fuhui Long;Julie H Simpson.
Nature Biotechnology (2010)
Biological imaging software tools
Kevin W. Eliceiri;Michael R. Berthold;Ilya G. Goldberg;Luis Ibáñez.
Nature Methods (2012)
Hanchuan Peng;Alex Bateman;Alfonso Valencia;Jonathan D. Wren.
Evolving feature selection
H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola.
IEEE Intelligent Systems (2005)
Extensible visualization and analysis for multidimensional images using Vaa3D
Hanchuan Peng;Alessandro Bria;Zhi Zhou;Giulio Iannello.
Nature Protocols (2014)
Classification of electrophysiological and morphological neuron types in the mouse visual cortex.
Nathan W. Gouwens;Staci A. Sorensen;Jim Berg;Changkyu Lee.
Nature Neuroscience (2019)
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