EIDOSLAB / AnatCLLinks
Anatomical Foundation Models for Brain MRIs
☆11Updated last month
Alternatives and similar repositories for AnatCL
Users that are interested in AnatCL are comparing it to the libraries listed below
Sorting:
- ☆34Updated 3 weeks ago
- Large Medical Image Foundation Model☆16Updated last year
- This is the repository of Quality Sentinel, a label quality evaluation model for medical image segmentation.☆21Updated 10 months ago
- Torch utilities for 3D medical imaging☆45Updated 2 months ago
- LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.☆51Updated 2 weeks ago
- [In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than …☆15Updated last year
- Official implementation of "Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic r…☆20Updated 2 weeks ago
- ☆50Updated last month
- Prostate cancer detection from ultrasound using foundation models and domain knowledge☆12Updated 5 months ago
- [MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging …☆44Updated 10 months ago
- ☆24Updated last week
- [MedIA'25] Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation.☆38Updated last month
- [MICCAI 2022] The official repository of Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac…☆35Updated last year
- CT-FM: A 3D Image-Based Foundation Model for Computed Tomography☆38Updated 4 months ago
- Official repository for the paper "Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis"☆28Updated last year
- ☆17Updated 2 years ago
- ☆19Updated 3 weeks ago
- TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction☆34Updated 2 years ago
- ☆15Updated 8 months ago
- ☆18Updated 2 months ago
- One-line code to get SoTA pre-trained Medical Image Models ready in PyTorch.☆38Updated 2 months ago
- Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…☆27Updated last year
- ☆39Updated 10 months ago
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆29Updated 9 months ago
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆41Updated last year
- Repository for the Universal Lesion Segmentation Challenge '23☆35Updated last month
- An offcial implementation for UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training☆31Updated 3 months ago
- [MedIA 2023] The official implementation of MIA paper "Dive into the details of Self-supervised Learning for Medical Image Analysis"☆30Updated last year
- Official repository for "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation"☆11Updated last year
- BME-X: A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks☆37Updated 2 months ago