Luca Mainardi

Associate Professor

Politecnico di Milano

Italy

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About

Dr. Luca Mainardi is an Associate Professor at Politecnico di Milano, Italy. His research areas include medical imaging, artificial intelligence in healthcare, and machine learning applications in cardiology. He has authored several recent articles focusing on topics such as neural decoding from BOLD fMRI signals, radiomics for coronary artery vulnerability prediction, and ECG-based models for cardiac condition detection.

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Collaborators (7)

Andrea Moglia

Assistant Professor of Bioengineeering

Politecnico di Torino

ITALY

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Pietro Cerveri

Professor

Politecnico di Milano

ITALY

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ALFONSO MANZOTTI

Chief Of Dept

Ospedale Casa Sollievo della Sofferenza

ITALY

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Alessia Paglialonga

Adjunct Professor

Politecnico di Milano

ITALY

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Luca Cerina

Eindhoven University of Technology

NETHERLANDS

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Riccardo Barbieri

Professor

Politecnico di Milano - Milano Leonardo

ITALY

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Massimo Rivolta

University of Milan

ITALY

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Luca Mainardi

Research Interests

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About

Articles (24)

Three-dimensional sparse random mode decomposition: From theory to application

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

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

Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach

An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach

Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools

Identification of Electrocardiographic Patterns Related to Mortality with COVID-19

An Interpretable Framework Utilizing Radiomics for Laryngeal Cancer Classification through Narrow Band Imaging

Comparative Assessment of Physiological Responses to Emotional Elicitation by Auditory and Visual Stimuli

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

Lung nodule classification using radiomics model trained on degraded SDCT images

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

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

Domain-Specific Processing Stage for Estimating Single-Trail Evoked Potential Improves CNN Performance in Detecting Error Potential

Analysis of physiological and non-contact signals to evaluate the emotional component in consumer preferences

ARX-Based EEG Data Balancing for Error Potential BCI

Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort

Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance

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

Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves

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

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

Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy

Collaborators (7)

Andrea Moglia

Pietro Cerveri

ALFONSO MANZOTTI

Alessia Paglialonga

Luca Cerina

Riccardo Barbieri

Massimo Rivolta

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