Pietro Cerveri

Professor

Politecnico di Milano

Italy

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About

Professor Pietro Cerveri is a faculty member at Politecnico di Milano, Italy. His research areas include the application of AI in medical imaging, respiratory measurement technologies, and the development of computational models for tumor progression and therapy response. Recent articles authored by him focus on topics such as digital twins in biomedical research, advanced imaging techniques in lung cancer, and novel sensor technologies for gas analysis.

Articles (22)

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2025

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2020

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ITALY

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Pietro Cerveri

Research Interests

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About

Articles (22)

Breath-by-Breath Measurement of Respiratory Frequency and Tidal Volume with a Multiple-Camera Motion Capture System During Cycling Incremental Exercise

From COPD to Smoke-Related Arteriopathy: The Mechanical and Immune–Inflammatory Landscape Underlying Lung Cancer Distant Spreading—A Narrative Review

In silico Digital Twins of Bone Metastasis Enable Investigation of Tumor Progression and Therapy Response

Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system

AI-Based Quantification of Volatile Organic Compounds in Gas Mixtures Exploiting Temperature Modulation of MOS Sensor Array

Cascade learning in multi-task encoder–decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans

Gaseous Ammonia Sensing from Liquids via a Portable Chemosensor with Signal Correction for Humidity

Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning

Eyewear-Based ECG Recording: A Novel Head-Electrode Approach for Reliable Cardiac Signal Acquisition

Finger-to-Chest Style Transfer-Assisted Deep Learning Method for Photoplethysmogram Waveform Restoration With Timing Preservation

Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy

SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography

Temperature Modulation of MOS Sensors for Enhanced Detection of Volatile Organic Compounds

Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning

Analytical Challenges in Diabetes Management: Towards Glycated Albumin Point-of-Care Detection

Hybrid Convolutional Networks for End-to-End Event Detection in Concurrent PPG and PCG Signals Affected by Motion Artifacts

Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks

MOS Sensors Array for the Discrimination of Lung Cancer and At-Risk Subjects with Exhaled Breath Analysis

Comparison of Supervised and Unsupervised Approaches for the Generation of Synthetic CT from Cone-Beam CT

Chest Wearable Apparatus for Cuffless Continuous Blood Pressure Measurements Based on PPG and PCG Signals

Deep 3D Convolutional Networks to Segment Bones Affected by Severe Osteoarthritis in CT Scans for PSI-Based Knee Surgical Planning

Analysis of Upper-Limb and Trunk Kinematic Variability: Accuracy and Reliability of an RGB-D Sensor

Collaborators (8)

Andrea Moglia

Massimo Sacchetti

FRANCESCO CELLESI

ALFONSO MANZOTTI

Lorenzo Spaggiari

Sergio Silvestri

Luca Mainardi

Chandra Bortolotto

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