Stars
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch
Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
Easily compute clip embeddings and build a clip retrieval system with them
A Survey on CLIP in Medical Imaging
Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
A curated list of foundation models for vision and language tasks
Evaluation framework for oncology foundation models (FMs)
This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.
A framework for few-shot evaluation of language models.
[MICCAI'23] Text-guided Foundation Model Adaptation for Pathological Image Classification
Official Repository of NeurIPS 2023 - MedFM Challenge
RETFound - A foundation model for retinal image
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…
A curated list of foundation models for vision and language tasks in medical imaging
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
Transformer model based on Kolmogorov–Arnold Network(KAN), which is an alternative of Multi-Layer Perceptron(MLP)