DEPICT consists of several projects based on artificial intelligence and medical image analysis. The projects work with imaging and automatic analysis, ensuring better and faster examinations and descriptions. Below, you can see examples of current projects.

2024
project thumbnail

Automatic Brain Tumor Segmentation
project thumbnail

AI-Based Support System for Chest X-ray Report Annotation - Exploring Annotator Performance Across Experience Levels
project thumbnail

Automated Brown Adipose Tissue Segmentation in CT Images of Lymphoma Patients
project thumbnail

Feasibility of Multiparametric PET/MRI as a One-Stop Shop for RT Planning for Patients with HNC
project thumbnail

Deep Learning-Driven Improvements in Low-Activity PET Imaging for Neurodegenerative Diseases
project thumbnail

Attenuation Correction in PET Scans Using Synthetic CT Images from the Emission Data
project thumbnail

Clinical significance of combined density and texture analysis for stratifying the risk breast cancer in screening
project thumbnail

Deep Learning for Tumor Delineation on PET/CT of Head and Neck Cancer
project thumbnail

Automatic Lesion Segmentation on MRI Scans of Patients with Multiple Sclerosis
project thumbnail

Digital Twin for PET Scanning

2023