4 papers
Is Self-Pretraining really useful to improve diagnosis in medical Time Series?
Omar Coser, Antonio Orvieto, Paolo Soda +1
Inspired by recent evidence that transformer architectures benefit from Self-PreTraining (SPT) on long-context benchmarks, we investigate whether similar gains extend to multimodal…
SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation
Guido Manni, Clemente Lauretti, Loredana Zollo +1
Deep learning has revolutionized medical imaging, but its effectiveness is severely limited by insufficient labeled training data. This paper introduces a novel GAN-based semi-supe…
Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
Omar Coser, Christian Tamantini, Matteo Tortora +4
Wearable robotics for lower-limb assistance have become a pivotal area of research, aiming to enhance mobility for individuals with physical impairments or augment the performance…
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications
G. Manni, C. Lauretti, F. Prata +3
Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth perception and instrument manipulation. While Monocular Visual Simultaneous Localization…