Simone Balocco

Associate Professor at the UB, and researcher of the Computer Vision Center, Bellaterra

Profile summary

Dr. Balocco Simone is Associate Professor at the University of Barcelona (Spain), a department of mathematics and computer science and researcher at the Center for Computer Vision (CVC), Bellaterra. He received the title of doctor in Acoustics in the CREATIS laboratory, Lyon1 University (France) and Electronics and Telecommunications obtained in the MSD Lab of the University of Florence (Italy).

His main lines of research are the study of deep machine learning, artificial intelligence, computer vision and automated pattern recognition, applied to the medical imaging. In particular, cerebro- and cardio-vascular applications, with different imaging modalities (MR, Ultrasound and CT).

Latest publications

Simone Balocco has 112 publications on Google Scholar.
Only the last 20 publications are shown here. Access Simone Balocco Google Scholar Profile

From data to treatment plan: An AI‐driven path for automated breast radiotherapy planning

2026 | P Gallego, E Ambroa, J Pérez‐Alija, JC Julià, N Jornet, A Matas, C Anson, A Mera, N Tejedor, H Vivancos, A Ruiz, M Barceló, A Dominguez, V Riu, J Roda, P Carrasco, S Balocco, O Díaz | Journal of Applied Clinical Medical Physics 27 (3), e70491, 2026

Simone Balocco

Profile summary

Latest publications

From data to treatment plan: An AI‐driven path for automated breast radiotherapy planning

Breast radiotherapy planning: A decision‐making framework using deep learning

Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy

Clinically-guided data synthesis for laryngeal lesion detection

Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability

One-size-fits-all strategy in carotid artery treatment using CGuard stent, feasibility and clinical pilot study

1792 Deep learning decision-making framework for optimal technique selection in breast radiotherapy: predicting dose distributions for IMRT and 3D-CRT

PROCRASTINATION AND STRESS PATTERNS IN UNIVERSITY STUDENTS: A DATA-DRIVEN ANALYSIS

Ivus Challenge 2011: diseño e implementación de la web

PP02. 04 DEEP NEURAL NETWORK FOR DVH PREDICTION FOR 3DCRT BREASTCANCER TREATMENT

PS01. 08 AUTOMATION OF 3D-CRT BREAST TREATMENT PLANNING

Acute thrombosis induced by drug-coated balloons dilation in neoatherosclerosis plaque, successfully treated with a MicroNet-covered stent: A Case Report and Literature Review

Case Report Not peer-reviewed version

Carotid artery revascularization using second generation stents versus surgery: a meta-analysis of clinical outcomes.

Vascular surgery study of the CGuard MicroNet-covered stent in patients with indication to carotid revascularization: POLGUARD

Vascular surgery study of the CGuard MicroNet-covered stent in patients with indication to carotid revascularization: POLGUARD

A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning

The role of post-dilatation in carotid MicroNet-covered stent implantation, evaluated using 3D cone-beam CT angiography.

Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy

Abstract Number‐11: Automated Measurement Of Vascular Tortuosity: Association With Baseline Clinical Characteristics And Impact On Mechanical Thrombectomy

Research lines

Medical Imaging

Bio-Mechanics