Training and Tuning Strategies for Foundation Models in Medical Imaging

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

Image-to-Image Translation in PyTorch

Collection of data readers for several medical imaging segmentation datasets

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Code for the paper: Rotating Features for Object Discovery

Official implementation of the paper “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning”（SIGGRAPH 2022）

[ECCV'20] Convolutional Occupancy Networks

Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)

DomainBed is a suite to test domain generalization algorithms

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

Official implementation of ProCST image-to-image translation for UDA-SS.

CDS: Cross-Domain Self-supervised Pre-training

Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020

The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclide…

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of dr…

The challenge projects for Inferencing machine learning models on iOS

The example of running Pose Estimation using Core ML

Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Learning error bars for neural network predictions

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth