Medicine & Biological Systems
Developing advanced clinical diagnostics while mastering the non-linear dynamics governing life, from cellular networks to systemic health interactions.
THAITI
TrustwortHy Artificial Intelligence for Inversion Time - Patented AI for Cardiac MRI optimization
MiThyCA
Microscopic foci of papillary Thyroid Carcinoma-like nuclear features identification with AI in Whole-Slide Images.
Spatial Proteomics & MALDI-MSI
Advancing digital pathology and biomarker discovery through Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) and machine learning.
USE-Net
Incorporating Squeeze-and-Excitation blocks into U-Net for multi-institutional prostate zonal segmentation.
Assessing Cardiac Functionality via Interpretable AI
A fully interpretable, rule-based machine learning model using myocardial strain data to accurately estimate Left Ventricular Ejection Fraction (LVEF).
Automated Cardiac MR Ischemic Scar Assessment
A deep learning-based system for the accurate, time-efficient segmentation and clinical reporting of left ventricular myocardial infarction scar.
Muscle MR Characterization using Unsupervised Learning
Applying Self-Organizing Maps to radiomic data to automate the identification of fatty replacement and edema in STIM1 tubular aggregate myopathy.
NUTSHELL
A deep learning model for the multiclass segmentation of nuclei to differentiate follicular thyroid lesions and streamline digital pathology workflows.
ProCell
An award-winning stochastic modeling and simulation framework to investigate cell proliferation dynamics using flow cytometry data.
MedGA
A novel evolutionary method for image enhancement in medical imaging systems based on Genetic Algorithms.
We are currently finalizing the digital portfolio for this research pillar. More detailed project descriptions, datasets, and software repositories will be published here soon.