Name: Daisuke Komura
Type: User
Company: Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo
Bio: Assistant professor at the Department of Preventive Medicine, The University of Tokyo. Interest: Computer vision for histopathology, Bioinformatics
Location: Japan
Blog: https://scholar.google.com/citations?hl=en&user=k7DqR0EAAAAJ
Daisuke Komura's Projects
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
🏞 A content-based image retrieval (CBIR) system
individual repository
docker files
Conda environment for dtr analysis
A command-line interface and python module for R's GSVA bioconductor package
Patch extraction from whole slide images
High-resolution representation learning (HRNets) for Semantic Segmentation
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
A pipeline to segment tissue from the background in histological images (tifffile is used instead of openslide)
Image-to-Image Translation in PyTorch
Segmentation models with pretrained backbones. PyTorch.
Dataset for the semantic segmentation of H&E images for eight major cell types in tumor tissue.
R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
Viola is a flexible and powerful python package designed specifically for analysis of genomic structural variant (SV) signatures.