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Karolinska Institutet
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These confs are pulled into our fail2ban image: https://github.com/linuxserver/docker-fail2ban
This is an unofficial LaTeX template for the PhD's half-time report at Karolinska Institutet.
😎 A curated list of awesome GitHub Profile which updates in real time
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
[Arxiv-2024] CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation
Multimodal prototyping for cancer survival prediction - ICML 2024
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Blazing fast nuclei segmentation for brightfield Whole Slide Images
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification (CVPR 2024)
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
NVR with realtime local object detection for IP cameras
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Official repository for the code of "SparseXMIL: Leveraging spatial context for classifying whole slide images in digital pathology"
TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer,…
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
A generalizable application framework for segmentation, regression, and classification using PyTorch
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
MICCAI 2023 & Dental Enumeration and Diagnosis on Panoramic X-rays Challenge
An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.