PhD candidates poster session

Toward Precision Medicine: Preliminary Development of Multimodal Deep Learning Models for Pancreatic Cancer TNM Staging

Neural adaptation modeled with Hodgkin-Huxley neurons: a biophysical framework for experience-driven dynamics

Scheduling CT Scans Under Uncertainty via Memory Augumented NSGA II

Association analysis of rare variants in endometriosis

Probabilistic Hierarchical Forecasts Reconciliation: t-Rec vs MinT

Cluster individuals based on their Error Pattern in Emotion Recognition

MOLECULE: Molecular-dynamics and Optimized deep Learning for Entropy-regularized Classification and Uncertainty-aware Ligand Evaluation

FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation

Smart Diagnosis of Brain Tumors Using Convolutional Neural Networks

Generative AI for Fair and Reliable Synthetic Biomedical Data

Genetic associations with endometriosis and its sub-phenotypes: Insights from a multicenter Italian GWAS

T-matrix Approximation with TDG Methods for Dirichlet and Transmission Conditions

Fundamental notions of projective and scale-translation-invariant metrics in coding theory

Multimodal Integration for Survival Prediction in Precision Oncology

Kinetic Models for Consensus-based Segmentation

Mathematical modeling of Multielectrode Arrays (MEAs) with Pluripotent Stem Cell-Derived Cardiomyocytes (hiPSC-CMs)