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A toy example of VAE-regression network
Normative modeling for psychiatry based on deep learning models.
Code for paper "Diffusion Deep Learning for Brain Age Prediction and Longitudinal Tracking in Children through Adulthood
Towards Scalable Language-Image Pre-training for 3D Medical Imaging
The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"
A PyTorch implementation of the MMD-VAE, an Information-Maximizing Variational Autoencoder (InfoVAE) based off of the TensorFlow implementation published by the author of the original InfoVAE paper.
The official codes for "AutoRG-Brain: Grounded Report Generation for Brain MRI".
Dataset Condensation (ICLR21 and ICML21)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Code for our TMLR '24 Journal: MMD-Regularized UOT.
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)
a collection of AWESOME things about Optimal Transport in Deep Learning
Alignment between clustered datasets via hierarchical Wasserstein distance
A comprehensive review of techniques to address the missing-modality problem for medical images
This is the official code for NeurIPS 2023 paper "Learning Unseen Modality Interaction"
Experiments with supervised contrastive learning methods with different loss functions
[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
PennShenLab / AD-SIMLR
Forked from BatzoglouLabSU/SIMLRClustering Alzheimer’s Disease Subtypes via Similarity Learning and Graph Diffusion. Building on top of and forked from the implementation of the SIMLR method: https://www.nature.com/articles/nmeth…
Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval
Compare a statistical map of a brain with gene expression patterns from Allen Human Brain Atlas.