Stars
A user-guided tool for semi-automated cerebral microbleed detection, labelling, and volume segmentation
Gradient Reversal Layer for Domain Adaptation
Adaptive Latent Diffusion Model for 3D Medical Image
Source code of weakly supervised test time domain adaptation
[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data
Winning solution for CryoET object identification challenge
A 3D bounding box detection model for medical data.
Automated characterisation of CMBs using size and spatial count
[MICCAI 2025 Oral] Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching
Next-generation Albumentations: dual-licensed for open-source and commercial use
A feature-rich browser-based gardening simulation game
[npj Digital Medicine] A generalizable 3D framework and model for self-supervised learning in medical imaging
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
Tiny fast HTML5 game engine with many features and no dependencies.
Extract only the papers that meet your objectives from the exhaustive collection of papers.
MedM-VL is a modular, LLaVA-based codebase for medical LVLMs.
PyTorch implementation of "Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts"
[WACV 2026] An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.
This is the implementation of our paper: MM-UniCMBs: A multimodal unified framework for cerebral microbleeds detection and classification.
improved susceptibility weighted imaging using multi-echo aquisitions
An open source implementation of CLIP.
Towards Scalable Language-Image Pre-training for 3D Medical Imaging