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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerMainardi Luca
QualificationFull professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary GroupIBIO-01/A - Bioengineering
Curriculum VitaeDownload CV (243.5Kb - 29/07/2023)
OrcIDhttps://orcid.org/0000-0002-6276-6314

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
BIOINGEGNERIA - ED. 21IV---MondayFrom 10:00
To 12:00
33473360---
E-mailluca.mainardi@polimi.it
Personal website---

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2026 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Recensioni su riviste
Generalist models in medical image segmentation: A survey and performance comparison with task-specific approaches (Show >>)
Journal Articles
A Novel Imagined Speech Paradigm: Word Classification from Neurophysiological Signals (Show >>)
Explainable self-supervised learning unveils neurophysiological signatures of proficiency in imagined speech (Show >>)
MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Observation and Localization in CT Images (Show >>)
Novel EEG-based signatures of brain connectivity for imagined speech (Show >>)


List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Recensioni su riviste
Deep learning for pancreas segmentation on computed tomography: a systematic review (Show >>)
Patents
HEAD-MOUNTABLE DEVICE, ELECTROENCEPHALOGRAM SIGNAL DETECTION SYSTEM AND SELECTION PROCESS FOR SELECTING ONE OR MORE OPTIMAL SENSING ELECTRODE OF AN ELECTROENCEPHALOGRAM SIGNAL DETECTION SYSTEM (Show >>)
Conference proceedings
A Two-Stage Deep Learning Approach for EEG Artifact Removal and Classification: Towards Reliable Wearable Applications (Show >>)
A feasibility study of an eyewear prototype for detecting head-ECG (Show >>)
Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment (Show >>)
Cardiac Arrhythmia Detection Leveraging Deep Learning Convolutional Neural Network (Show >>)
Development of an Explainable-AI Enabled Decision Support System for Improved Risk Assessment of Atrial Fibrillation in Cardiac Patients during Hospital Stay (Show >>)
ECG-Based Screening of Chagas Disease Using Deep Residual Networks and Feature-Based Machine Learning (Show >>)
Effective 12-Lead ECG Reconstruction from Minimal Lead Sets Using Deep Learning for Advanced Wearable Systems (Show >>)
Evaluation of Autonomic Responses to the Urban Environment Through Traditional Methodologies and Autoencoding Networks (Show >>)
Extraction of Risk Markers from ECG in Patients with Hypertrophic Cardiomyopathy (Show >>)
Leveraging Self-supervised Pretraining Using Transformers for Enhanced Lung Nodule Detection in CT Scans (Show >>)
LocNeXt: Fast Automatic ConvNeXt-based Coronary Ostia Landmarks Detection in 3D CCTA Images (Show >>)
New Echocardiographic Risk Score for HCM Patients Follow-up (Show >>)
Three-Dimensional Sparse Random Mode Decomposition for Mode Disentangling with Crossover Instantaneous Frequencies (Show >>)
Transfer Learning on a Deep Learning Approach to Optimize Laryngeal Cancer Detection on Endoscopic Images (Show >>)
Journal Articles
An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach (Show >>)
An integrative psychophysiological approach for emotional assessment in outdoor urban settings (Show >>)
Artificial intelligence applications in hypertrophic cardiomyopathy: turns and loopholes (Show >>)
Assessment of Clinical and Neurological Alterations Before Radiation Therapy in Children With Malignant Brain Tumours (Show >>)
Capacitive sensing for facial expression recognition and beyond: Materials, architectures, and wearable applications (Show >>)
Cascade learning in multi-task encoder–decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans (Show >>)
Deep learning for automated segmentation of central cartilage tumors on MRI (Show >>)
Editorial: Machine-learning/deep-learning methods in neuromarketing and consumer neuroscience (Show >>)
Eyewear-Based ECG Recording: A Novel Head-Electrode Approach for Reliable Cardiac Signal Acquisition (Show >>)
Finger-to-Chest Style Transfer-Assisted Deep Learning Method for Photoplethysmogram Waveform Restoration With Timing Preservation (Show >>)
Interplay between MRI radiomics and immune gene expression signatures in oral squamous cell carcinoma (Show >>)
Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system (Show >>)
Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach (Show >>)
Three-dimensional sparse random mode decomposition: From theory to application (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
HEAD-MOUNTABLE DEVICE AND ECG DETECTION SYSTEM FOR DETECTING AN ELECTROCARDIOGRAM SIGNAL COMPRISING SAID HEAD-MOUNTABLE DEVICE (Show >>)
Metodo per calcolare una o più isoviste di un ambiente fisico o di realtà estesa (Show >>)
OPERATION OF IMPLANTABLE MEDICAL DEVICE SYSTEM TO DETERMINE ATRIAL FIBRILLATION RECURRENCE LIKELIHOOD (Show >>)
Conference proceedings
A Novel Protocol for the Quantification of Cardiovascular and Autonomic Responses to Urban Environments through Physiological Signals (Show >>)
Are Error Potential response and detection affected by environments? (Show >>)
Assessing the Performance of MRI-Radiomic Prognostic Signatures in Head and Neck Cancer Patients: A Comparative Analysis (Show >>)
Automatic Right Ventricular Hypertrophic Detection Integrating Electrocardiography-based QRS Biomarkers with Machine Learning (Show >>)
Bioelectrical Measurements of Lenses Effect During Esports Training Sessions: Could the Yellow Lenses Enhance Gaming Performance? (Show >>)
Brain-Heart Dynamics: Virtual Reality Explores Theta Band’s Role in Emotion Processing (Show >>)
CTGAN in Augmentation of Radiomics Features Classification from Narrow Band Imaging for Laryngeal Cancer (Show >>)
Emotional State Evaluation in Driving Simulations: PC Versus Virtual Theater (Show >>)
Explainable AI Analysis of a Prediction Model for Detecting Premature Atrial and Ventricular Complexes (Show >>)
Low-Dose CT-Based Radiomic Model to Identify Malignant Lung Nodules (Show >>)
Predicting High-Risk Patients: A Biomechanical-Based Machine Learning Approach for Coronary Vulnerable Plaques Detection (Show >>)
Prediction of In-Hospital Atrial Fibrillation After Acute Myocardial Infarction (Show >>)
Style Transfer–Assisted Deep Learning Method for Photoplethysmogram Denoising (Show >>)
Subject-Specific Feature Identification of Arousal and Valence Based on EEG (Show >>)
Journal Articles
An Interpretable Framework Utilizing Radiomics for Laryngeal Cancer Classification Through Narrow Band Imaging (Show >>)
Assessing the impact of stimulation environment and error probability on ErrP EEG response, detection and subject attention: an explorative study (Show >>)
Comparative Assessment of Physiological Responses to Emotional Elicitation by Auditory and Visual Stimuli (Show >>)
Developing a robust two-step machine learning multiclassification pipeline to predict primary site in head and neck carcinoma from lymph nodes (Show >>)
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review (Show >>)
Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools (Show >>)
Identification of Electrocardiographic Patterns Related to Mortality with COVID-19 (Show >>)
Large language models in healthcare: from a systematic review on medical examinations to a comparative analysis on fundamentals of robotic surgery online test (Show >>)
Lung nodule classification using radiomics model trained on degraded SDCT images (Show >>)
MRI radiomics in head and neck cancer from reproducibility to combined approaches (Show >>)
Mixed Reality and Artificial Intelligence: a Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy (Show >>)
Radiomic features of primary retroperitoneal sarcomas: a prognostic study (Show >>)
The One Health approach in urban ecosystem rehabilitation: An evidence-based framework for designing sustainable cities (Show >>)
Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulation (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
SYSTEM USING HEART RATE VARIABILITY FEATURES FOR PREDICTION OF MEDICAL PROCEDURE EFFICACY (Show >>)
Contributions on scientific books
Error perception in different environments: Monitor vs Augmented Reality (Show >>)
Conference proceedings
A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer (Show >>)
Cardiac Effect of Acupuncture on the Neiguan Point (Show >>)
Deep Learning Coronary Artery Centerlines Mapping from Contrast-Enhanced CT Images of the Heart (Show >>)
Distinguishing lymph nodes in head and neck cancer patients using MRI-based radiomics (Show >>)
Predicting Comatose Patient's Outcome Using Brain Functional Connectivity with a Random Forest Model (Show >>)
The Subspace Regularization Method Improves ErrP Detection by EEGNET in BCI Experiments (Show >>)
Journal Articles
A CHANCE THROUGH SPORT: QUANTITATIVE ASSESSMENT OF PHYSICAL ACTIVITY LEVEL IN JAIL (Show >>)
Atrial fibrillation episode patterns as predictor of clinical outcome of catheter ablation (Show >>)
Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning (Show >>)
Coronary artery plaque rupture and erosion: Role of wall shear stress profiling and biological patterns in acute coronary syndromes (Show >>)
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment (Show >>)
Domain-Specific Processing Stage for Estimating Single-Trail Evoked Potential Improves CNN Performance in Detecting Error Potential (Show >>)
Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data (Show >>)
Investigating the impact of visual perspective in a motor imagery-based brain-robot interaction: A pilot study with healthy participants (Show >>)
MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures (Show >>)
Progettare e monitorare l'attività motoria in spazi difficili (Show >>)
Prognostic radiomic signature for head and neck cancer: Development and validation on a multi-centric MRI dataset (Show >>)
Repeatability and reproducibility of MRI-radiomic features: A phantom experiment on a 1.5 T scanner (Show >>)
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A CNN for Covid Detection Using ECG signals (Show >>)
Analysis of the skin conductance and pupil signals for evaluation of emotional elicitation by images and sounds (Show >>)
CEL-Unet: a novel CNN architecture for 3D Segmentation of Knee Bones affected by Severe Osteoarthritis for PSI-Based Surgical Planning (Show >>)
Cellular Heterogeneity in the Atria: An In Silico Study in the Impact on Reentries (Show >>)
Comparison of different emotion stimulation modalities: an EEG signal analysis (Show >>)
EEG Analysis of Selective Attention during Error Potential BCI experiments (Show >>)
Spectral differences in resting-state EEG associated to individual Emotional Styles (Show >>)
Journal Articles
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction (Show >>)
ARX-based EEG data balancing for error potential BCI (Show >>)
Analysis of physiological and non-contact signals to evaluate the emotional component in consumer preferences (Show >>)
Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort (Show >>)
CEL-Unet: Distance Weighted Maps and Multi-Scale Pyramidal Edge Extraction for Accurate Osteoarthritic Bone Segmentation in CT Scans (Show >>)
Cellular heterogeneity and repolarisation across the atria: an in silico study (Show >>)
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance (Show >>)
Ensemble classification combining ResNet and handcrafted features with three-steps training (Show >>)
Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves (Show >>)
Hybrid Convolutional Networks for End-to-End Event Detection in Concurrent PPG and PCG Signals Affected by Motion Artifacts (Show >>)
Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks (Show >>)
Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy (Show >>)
manifesti v. 3.14.6 / 3.14.6
Area Servizi ICT
14/09/2026