Kyle Coleman

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Magnetic Resonance Imaging

Anaerobic Digestion

Top Venues

bioRxiv : the preprint server for biology

Communications biology

This page only lists publications with an associated author ORCID identifier.

Publications

Kyle Coleman, Amelia Schroeder, Mingyao Li
Unlocking the power of spatial omics with AI. Nature methods 21 (8) (2024)
Kyle Coleman, Amelia Schroeder, Mingyao Li
Unlocking the power of spatial omics with AI. Nature methods 21 (8) (2024)
Kyle Coleman, Jian Hu, Amelia Schroeder, Edward B Lee, Mingyao Li
SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning. Communications biology 6 (1) (2023)
Fengling Hu, Alfredo Lucas, Andrew A Chen, Kyle Coleman, Hannah Horng, Raymond W S Ng, Nicholas James Tustison, Kathryn Adamiak Davis, Haochang Shou, Mingyao Li, Russell Taki Shinohara, null null
DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data. bioRxiv : the preprint server for biology (2023)
Fengling Hu, Alfredo Lucas, Andrew A Chen, Kyle Coleman, Hannah Horng, Raymond W S Ng, Nicholas James Tustison, Kathryn Adamiak Davis, Haochang Shou, Mingyao Li, Russell Taki Shinohara, null null
DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data. bioRxiv : the preprint server for biology (2023)
Fengling Hu, Alfredo Lucas, Andrew A Chen, Kyle Coleman, Hannah Horng, Raymond W S Ng, Nicholas James Tustison, Kathryn Adamiak Davis, Haochang Shou, Mingyao Li, Russell Taki Shinohara, null null
DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data. bioRxiv : the preprint server for biology (2023)
Jian Hu, Xiangjie Li, Kyle Coleman, Amelia Schroeder, Nan Ma, David John Irwin, Edward B Lee, Russell T Shinohara, Mingyao Li
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network. Nature methods 18 (11) (2021)