Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
☆86Jan 3, 2022Updated 4 years ago
Alternatives and similar repositories for OAProgression
Users that are interested in OAProgression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach☆78Mar 6, 2025Updated last year
- Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.☆15Nov 27, 2018Updated 7 years ago
- Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation☆52Feb 11, 2026Updated 2 months ago
- Assessing Knee OA Severity with CNN attention-based end-to-end architectures☆20Jun 26, 2019Updated 6 years ago
- Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthriti…☆27Mar 11, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Knee Osteoarthritis Analysis with X-ray Images using CNN☆50Feb 9, 2022Updated 4 years ago
- Grading individual knee osteoarthritis features using Deep Learning☆23Oct 25, 2020Updated 5 years ago
- Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography☆43Aug 30, 2019Updated 6 years ago
- 3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fas…☆50Oct 31, 2020Updated 5 years ago
- Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs☆15Oct 3, 2023Updated 2 years ago
- Deep learning for mortality prediction from low-dose CT images☆13Aug 30, 2020Updated 5 years ago
- Image analysis approaches to analyze the OAI magnetic resonance images☆30Dec 19, 2024Updated last year
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Oct 24, 2019Updated 6 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Jul 3, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A fork of the official TPU models repo with fixes and a solution of the Kaggle Open Images 2019 Object Detection Challenge☆49Oct 15, 2019Updated 6 years ago
- SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI☆29Nov 21, 2022Updated 3 years ago
- Just another DL library☆183Mar 9, 2021Updated 5 years ago
- Simple Reinforcement Learning Framework☆33Dec 16, 2017Updated 8 years ago
- ADIT (Automated DICOM Transfer) is a swiss army knife to exchange DICOM data between various systems by using a convenient web frontend a…☆19Updated this week
- Shiny application implementing Consensus Clustering for various clustering algorithms.☆13Jul 6, 2018Updated 7 years ago
- Repository in Support of EAGLE Submission☆23Oct 11, 2025Updated 6 months ago
- Code related to my Bachelor's Thesis Project☆13Jun 17, 2016Updated 9 years ago
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆20Feb 23, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Examples☆54Jan 23, 2019Updated 7 years ago
- ☆11Nov 13, 2025Updated 5 months ago
- python code for BRLTM model☆14Jan 17, 2021Updated 5 years ago
- Our solution for ICIAR 2018 Grand Challenge☆193Dec 16, 2020Updated 5 years ago
- INSPECT dataset/benchmark paper, accepted by NeurIPS 2023☆50May 20, 2025Updated 11 months ago
- ☆21Aug 3, 2023Updated 2 years ago
- Streaming over lightweight data transformations☆266Apr 13, 2026Updated 2 weeks ago
- Algorithm to simulate resection surgery on brain MRI scans. Published in MICCAI 2020, extended in IJCARS.☆14Jan 22, 2026Updated 3 months ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Перевод книги Себастьяна Труна на русский язык☆93Jun 10, 2019Updated 6 years ago
- Official implementation of "Weakly-supervised positional contrastive learning: application to cirrhosis classification", MICCAI 2023☆11Dec 16, 2025Updated 4 months ago
- Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening☆890Dec 14, 2023Updated 2 years ago
- This repository contains the code to our Paper: Medical Transformer for Multimodal Survival Prediction in Intensive Care - Integration of…☆19May 15, 2023Updated 2 years ago
- Code accompanying our WWW 2020 paper☆14Dec 8, 2022Updated 3 years ago
- CLIMATv2: Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data☆20Nov 1, 2022Updated 3 years ago
- Tutorial about combining PyTorch and NiftyNet for deep learning and medical image computing☆15Aug 24, 2019Updated 6 years ago