Name: Volodymyr (Vovan) Chapman
Type: User
Company: University of Leeds
Bio: PhD student: AI for subgrouping in non-Hodgkin lymphoma. Right to repairist and all-round tinkerer.
馃嚭馃嚘馃嚜馃嚭馃彺鬆仹鬆仮鬆仴鬆伄鬆仹鬆伩 小谢邪胁邪 校泻褉邪褩薪褨, 袚械褉芯褟屑 小谢邪胁邪!
Location: Leeds, United Kingdom
Volodymyr (Vovan) Chapman's Projects
Compatibility and reproducibility fork of ANHIR_MW
QuPath TIL classifier for Melanoma on HE slides
Clone of AutomaticColorUnmixing by Daan Geijs and RUMC ComputationalPathologyGroup
Collected links to useful digital pathology tools
Cross Validation evaluation of dimensionality reduction methods, as proposed in this Alex Williams blog: http://alexhwilliams.info/itsneuronalblog/2018/02/26/crossval/
Encoding genome sequences as chaos game representations (CGRs).
Methods of encoding text and messages using Chaos Game Representations
A record of my journey from beginner to (hopefully!) wizard of Flutter app development
HistoQC is an open-source quality control tool for digital pathology slides
HoVer-Net inference code for simultaneous nuclear segmentation and classification (PyTorch version)
Scraping jobs into easy to filter dataframes
Using a variety of machine learning strategies to solve classification problem using DNA sequences
Assignments completed for various online courses in Machine Learning and data science (in Python, MatLab, R or Kotlin)
An open-source digital pathology based rapid image annotation tool
Infer on images using a trained QuickAnnotator model
Winning entry to Single Cell RNAseq Hackathon 2022 (University of Leeds: https://conferences.leeds.ac.uk/bad-hackathon/)
SplineDist: Automated Cell Segmentation with Spline Curves
Making shareable and playable files containing every possible scale
DL model agnostic WSI inference