Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

3D image classification using CNN (Convolutional Neural Network)

Processing and visualization tools for quantitative MRI data

R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data for individuals and groups.

The Blue Brain BioExplorer (BBBE) is a tool for data visualization experts and scientists to extract and analyze scientific data from visualization and interactive exploration

An official Molecule Transformer Drug Target Interaction (MT-DTI) model

:electron: command-line electron devtools installer

Single Shell Free Water Elimination Model for Diffusion Tensor Imaging

ElikoPy is Python library aiming at easing the processing of diffusion imaging for microstructural analysis.

GNU R package for reading and writing neuroimaging file formats. Not limited to FreeSurfer anymore, despite its name.

MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness

Reusable neuroimaging pipelines using nipype

Handling of structural neuroimaging file formats for Julia.

Predict whether the protien sequence and the drug SMILES will be interact with each other

An application to dump DTI type information from Monster Hunter: World

A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder

OSINT: come iniziare. Strumenti e idee per raccogliere e analizzare fonti aperte.

Scripts for MRI preprocessing

Weakly Object Localization on brain dMRI using CAM

Preprocess and analyze DTI (3D medical image)

:brain: DTI-NODDI: Create NODDI maps from DTI (either "FA and MD" or "L1, L2, and L3")

Download and organize MRI data efficiently in shell

diffusion tensor image analysis along the perivascular space (DTI‐ALPS) ：a program package for calculating DTI-ALPS

Rat Fenton-Karma C code and 3D DTI-based geometry files

cDWI, cDTI, cardiacDTI, design of DWI sequences (SE, STEAM, TRSE), gradient sampling shells, processing helix angle (HA), sheet angle (E2A, SA), transverse angle (TA)

Alzheimer disease is one of the most common neuro-degenerative diseases, with an estimated 6.2 million cases in the United States. This research investigates the potential of Transformer-based deep learning techniques to accelerate the processing of diffusion tensor imaging (DTI) measures and improve the early diagnosis of AD using Sparse Data

Predictive Modelling of Drug Target Interaction: CNN/MPNN/Transformer

📔 Online Kurz Vedenie Bakalárskych a Diplomových Prác + DPŠ

DATA Incubator challenge 2019 - DATA SCIENCE