Pinned Repositories
awesome-python-decorator
A curated list of awesome python decorator resources.
CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
coverage-report-github-pages
A dummy project to publish the coverage report using Github actions and Github Pages
Dash-by-Plotly
Interactive data analytics
DeepXi
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
Dockerfiles
Dockerfiles used to compile Cytomine docker images
python-template
Python Template with some initial setups for code style and linting, as well as pre-commit checks
CellViT
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
PathoPatcher
PathoPatcher is a Python project designed for accelerating Whole Slide Image Preprocessing, employing AI-based preprocessing techniques with features like annotation handling, color normalization, and configurable parameters
valuing-vicinity
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
FabianHoerst's Repositories
FabianHoerst/awesome-python-decorator
A curated list of awesome python decorator resources.
FabianHoerst/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
FabianHoerst/coverage-report-github-pages
A dummy project to publish the coverage report using Github actions and Github Pages
FabianHoerst/Dash-by-Plotly
Interactive data analytics
FabianHoerst/DeepXi
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
FabianHoerst/Dockerfiles
Dockerfiles used to compile Cytomine docker images
FabianHoerst/FabianHoerst.github.io
FabianHoerst/HIPT
Hierarchical Image Pyramid Transformer
FabianHoerst/lucid
A collection of infrastructure and tools for research in neural network interpretability.
FabianHoerst/python-template
Python Template with some initial setups for code style and linting, as well as pre-commit checks
FabianHoerst/hover_next_inference
Inference code for HoVer-NeXt
FabianHoerst/models
Models and examples built with TensorFlow
FabianHoerst/MONAIBootcamp2021
Materials for the 2021 MONAI Bootcamp
FabianHoerst/neural-image-compression
Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis
FabianHoerst/nuclei.io
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
FabianHoerst/Patch-GCN
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
FabianHoerst/PathoPatcher
Fork for testing CI/CD Tools
FabianHoerst/ProjectWeek
Website for NA-MIC Project Weeks
FabianHoerst/pytorch-Deep-Learning
Deep Learning (with PyTorch)
FabianHoerst/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
FabianHoerst/slim
Interoperable zero-footprint slide microscopy viewer for thin clients
FabianHoerst/SurvivalAnalysis
FabianHoerst/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
FabianHoerst/WSI-DICOM-TESTBench