VIOS

cardiac_dataset_trasformer

This repository has been created to improve the young researchers' experience when using cardiac data for any medical imaging application. It consists of transformers that reorganize a DICOM-based dataset into traditional image dataset structure for better dataloader exploitation.

CMRxRECON_Challenge_EDIPO

Inference code for EDIPO group participating in CMRxRECON challenge by MICCAI

CSDisentanglement_Metrics_Library

This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations.

DAA-GAN

Controllable cardiac synthesis via disentangled anatomy arithmetic

DGNet

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

Diff-SCM

Code for Diff-SCM paper

DiffAN

Diffusion Models for Causal Discovery

disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

multimodal_segmentation

Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation

vMFNet

vMFNet: Compositionality Meets Domain-generalised Segmentation

vios-s/Diff-SCM

Code for Diff-SCM paper

vios-s/DiffAN

Diffusion Models for Causal Discovery

vios-s/disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

vios-s/DGNet

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

vios-s/CSDisentanglement_Metrics_Library

This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations.

vios-s/multimodal_segmentation

Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation

vios-s/vMFNet

vMFNet: Compositionality Meets Domain-generalised Segmentation

vios-s/cardiac_dataset_trasformer

This repository has been created to improve the young researchers' experience when using cardiac data for any medical imaging application. It consists of transformers that reorganize a DICOM-based dataset into traditional image dataset structure for better dataloader exploitation.

vios-s/DAA-GAN

Controllable cardiac synthesis via disentangled anatomy arithmetic

vios-s/BrainAgeing

This is the project about simulating the ageing brain.

vios-s/CMRxRECON_Challenge_EDIPO

Inference code for EDIPO group participating in CMRxRECON challenge by MICCAI

vios-s/Inference_Denoising_MRI_Recon

Office code for "Inference Stage Denoising for Undersampled MRI Reconstruction"

vios-s/vMFNet-Journal

vios-s/ISBI-2024-DiMEDIA-MONAI-Tutorial

vios-s/MFU-Net

MFU-Net

vios-s/multiscale-adversarial-attention-gates

Project page of the paper: "Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates", by Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris (2021) IEEE TMI

vios-s/tsaftarislab.github.io

Github Pages for vios group, forked from mmistakes/minimal-mistakes

vios-s/Erase-to-Enhance-MRI-Recon-Unlearning

Machine Unlearning on MRI Reconstruction Task

vios-s/adversarial-test-time-training

vios-s/anatomy_modality_decomposition

SDNet Keras implementation

vios-s/APDNet

APD-Net

vios-s/inside

INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs

vios-s/Leaf-Counting

Code for the paper Leveraging multiple datasets for deep leaf counting.

vios-s/MRI_Active_Sampling

vios-s/Multi_task_plant_phenotyping

The code for the Doing More With Less: A Multi-Task Deep Learning Approach in Plant Phenotyping paper, Frontiers in Plant Science

vios-s/multiscale-pyag

vios-s/pseudo-healthy-synthesis

vios-s/RA_FA_Cardiac

vios-s/ReconstructionFairness

Code for 'Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction' in FAIMI 2023 of MICCAI

vios-s/sdtnet

Spatial Decomposition and Transformation Network - TensorFlow