eloydelas's Projects
Bash script to compute DTI-ALPS
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data
AssemblyNet: 3D Whole Brain MRI segmentation pipeline
Brain Lesion Analysis and Segmentation Tool for Computed Tomography
Command-line tool to perform MRI upsampling via SuperResolution GANS
Code for "Deep Attention Super-Resolution of Brain Magnetic Resonance Images Acquired Under Clinical Protocols".
CNN_UCL_MSSG
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
DeepBleed: 3D Volumetric Intracranial Hemorrhage Segmentation for Clinical Trials
DeepDTI Tutorial
Deep Learning courses, tutorials and examples with TensorFlow and PyTorch
A deep learning python package for neuroimaging data. Made by:
Deep-learning Tool for White Matter (WM) lesions and Claustrum structure segmentation in brain magnetic resonance imaging (MRI).
Reproducible and efficient diffusion kurtosis imaging in Python.
DL+DiReCT - Direct Cortical Thickness Estimation using Deep Learning-based Anatomy Segmentation and Cortex Parcellation
Diffusion MRI Recurrent CNN for Angular Super-resolution
Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers
DTI-NODDI: Create NODDI maps from DTI (FA and MD or L1, L2, and L3)
preprocessing scripts for diffusion imaging
Brain Imaging Accessoires: Fully automatic tilting of brainscans to Anterior Commissure - Posterior Commissure line (fatbACPC).
Project at Harvard (HMS and MGH) for Deep Learning-powered WMH quantification. Please refer to the official website for more recent information.
Gray matter microstructure models estimator for diffusion MRI
This is the official site of HACA3 harmonization algorithm.
Automated deep learning based Multiple Sklerosis brain lesions segmentation
The keras implementation for HDnGAN (Hybrid Denoising Generative Adversarial Network)
normalize the intensities of various MR image modalities
In this group project of deep-learning course, we demonstrate implementation of CycleGan on upper airway and brain imaging. By applying GAN, we generate synthetic T2 weighted image from T1 weighted images.
[Early Accepted at MICCAI 2023] Pytorch Code of "InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model"