Stars
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
MSHub: Medical Image Segmentation Hub with Pre-trained nnUNets
[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
Edit, preview and share mermaid charts/diagrams. New implementation of the live editor.
Fusing Histology and Genomics via Deep Learning - IEEE TMI
links to conference publications in graph-based deep learning
A graph-transformer for whole slide image classification
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
MediSwarm is an open-source project for advancing medical deep learning using swarm intelligence and NVFlare. Developed by the Odelia consortium, it ensures data privacy through federated learning,…
The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
A library for hidden semi-Markov models with explicit durations
A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration, and Beyond
SwarmDeepSurv: Swarm Intelligence Advances Deep Survival Network for Prognostic Radiomics Signatures in Four Solid Cancers
A python library for self-supervised learning on images.
Bayesian learning and inference for state space models
Uplift modeling and causal inference with machine learning algorithms
Survival analysis built on top of scikit-learn
Data sets used by the IBSI for benchmarking and standardisation
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
Topological data analysis (TDA) in medical image analysis