-
University of Calgary
- Calgary, Alberta, Canada
-
20:34
(UTC -07:00) - https://orcid.org/0000-0001-8730-3511
- @mattwrkntn
Lists (14)
Sort Name ascending (A-Z)
Causal methods
Computational Imaging
Software and tools for medical imaging processing and analysisData visualization
Packages to help with tabular and graphical visualization of dataDeep learning
Libraries for deep learningGenomics
Tools for molecular and genetic epidemiologyLLMs
Miscellaneous
No other place to live...Python misc
Miscellaneous Python packagesQuarto
Quarto is a multi-language, next generation version of R Markdown from RStudioR misc
Miscellaneous R packagesShell config
Various customizations and configurations for bash and zshShiny things
R packages to improve shiny app developmentTidy modeling
R packages for tidy modelingWeb extensions
Various HTML, CSS, and JavaScript extensionsStars
High-level DICOM abstractions for the Python programming language
Plugin for Orthanc to detect masses in mammograms using deep learning.
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Python library that wrap the Orthanc REST API and facilitate the manipulation of data in Orthanc
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Conquest DICOM server, aiming for complete source code release
Slides for "Measuring LLM Effectiveness" at the The New York Data Science & AI Conference
An extremely fast Python package and project manager, written in Rust.
Python tool for converting files and office documents to Markdown.
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
Run multiple LLM predictions against a data frame with R and Python
A high-throughput and memory-efficient inference and serving engine for LLMs
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Radiomic Extraction and Analysis for DICOM Images (READII)
Transparent and reproducible medical image processing pipelines in Python.
A markup-based typesetting system that is powerful and easy to learn.




