8 papers
CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection
Roberto Di Via, Irina Voiculescu, Francesca Odone +1
Anatomical landmark detection is a fundamental task in medical image analysis supporting a wide range of diagnostic and interventional workflows. Although recent methods have achie…
Automated Landmark Detection for assessing hip conditions: A Cross-Modality Validation of MRI versus X-ray
Roberto Di Via, Vito Paolo Pastore, Francesca Odone +2
Many clinical screening decisions are based on angle measurements. In particular, FemoroAcetabular Impingement (FAI) screening relies on angles traditionally measured on X-rays. Ho…
USV Obstacles Detection and Tracking in Marine Environments
Yara AlaaEldin, Enrico Simetti, Francesca Odone
Developing a robust and effective obstacle detection and tracking system for Unmanned Surface Vehicle (USV) at marine environments is a challenging task. Research efforts have been…
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via +3
Deep learning model effectiveness in classification tasks is often challenged by the quality and quantity of training data whenever they are affected by strong spurious correlation…
Disentangled representations of microscopy images
Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti +1
Microscopy image analysis is fundamental for different applications, from diagnosis to synthetic engineering and environmental monitoring. Modern acquisition systems have granted t…
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images
Yara AlaaEldin, Francesca Odone
Understanding the geometric and semantic properties of the scene is crucial in autonomous navigation and particularly challenging in the case of Unmanned Aerial Vehicle (UAV) navig…