88 citations · 460 across the 30 of their papers we have counts for
6 papers · 1 filter
Evidence-Based Text-Conditioned 3D CT Synthesis for Ovarian Cancer
Francesca Pia Panaccione, Eugenio Lomurno, Francesca Fati +11
Ovarian cancer is frequently diagnosed at an advanced stage, making preoperative contrast-enhanced computed tomography (CT) central to staging and surgical planning; yet the scarci…
A Lightweight Fiducial-Based Pipeline for 3D Hyperspectral Mapping of ex-vivo Lumpectomy Specimens
Anna Bicchi, Alberto Rota, Leonardo Passoni +5
Hyperspectral Imaging (HSI) is a promising modality for intraoperative assessment of resection margins in Breast-Conserving Surgery (BCS), but its clinical translation requires ali…
Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep Learning
Francesco Pastori, Francesca Fati, Marina Rosanu +8
Ovarian cancer is the most lethal gynecologic malignancy: around 60% of patients are diagnosed at an advanced stage, with an associated 5-year survival rate of about 30%. Early ide…
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Luca Sestini, Benoit Rosa, Elena De Momi +2
Instance segmentation of surgical instruments is a long-standing research problem, crucial for the development of many applications for computer-assisted surgery. This problem is c…
Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance
Luca Fortini, Mattia Leonori, Juan M. Gandarias +2
Tracking 3D human motion in real-time is crucial for numerous applications across many fields. Traditional approaches involve attaching artificial fiducial objects or sensors to th…
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
S. Moccia, S. J. Wirkert, H. Kenngott +6
Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data…