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Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
Informazioni
DocenteMainardi Luca
QualificaProfessore ordinario a tempo pieno
Dipartimento d'afferenzaDipartimento di Elettronica, Informazione e Bioingegneria
Settore Scientifico DisciplinareIBIO-01/A - Bioingegneria
Curriculum VitaeScarica il CV (243.5Kb - 29/07/2023)
OrcIDhttps://orcid.org/0000-0002-6276-6314

Contatti
Orario di ricevimento
DipartimentoPianoUfficioGiornoOrarioTelefonoFaxNote
BIOINGEGNERIA - ED. 21IV---LunedìDalle 10:00
Alle 12:00
33473360---
E-mailluca.mainardi@polimi.it
Pagina web redatta a cura del docente---

Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2025 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach (Mostra >>)
Eyewear-Based ECG Recording: A Novel Head-Electrode Approach for Reliable Cardiac Signal Acquisition (Mostra >>)
Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Brevetti
OPERATION OF IMPLANTABLE MEDICAL DEVICE SYSTEM TO DETERMINE ATRIAL FIBRILLATION RECURRENCE LIKELIHOOD (Mostra >>)
Contributo in Atti di convegno
A Novel Protocol for the Quantification of Cardiovascular and Autonomic Responses to Urban Environments through Physiological Signals (Mostra >>)
Are Error Potential response and detection affected by environments? (Mostra >>)
Assessing the Performance of MRI-Radiomic Prognostic Signatures in Head and Neck Cancer Patients: A Comparative Analysis (Mostra >>)
Automatic Right Ventricular Hypertrophic Detection Integrating Electrocardiography-based QRS Biomarkers with Machine Learning (Mostra >>)
Bioelectrical Measurements of Lenses Effect During Esports Training Sessions: Could the Yellow Lenses Enhance Gaming Performance? (Mostra >>)
CTGAN in Augmentation of Radiomics Features Classification from Narrow Band Imaging for Laryngeal Cancer (Mostra >>)
Emotional State Evaluation in Driving Simulations: PC Versus Virtual Theater (Mostra >>)
Explainable AI Analysis of a Prediction Model for Detecting Premature Atrial and Ventricular Complexes (Mostra >>)
Low-Dose CT-Based Radiomic Model to Identify Malignant Lung Nodules (Mostra >>)
Predicting High-Risk Patients: A Biomechanical-Based Machine Learning Approach for Coronary Vulnerable Plaques Detection (Mostra >>)
Prediction of In-Hospital Atrial Fibrillation After Acute Myocardial Infarction (Mostra >>)
Style Transfer–Assisted Deep Learning Method for Photoplethysmogram Denoising (Mostra >>)
Articoli su riviste
An Interpretable Framework Utilizing Radiomics for Laryngeal Cancer Classification Through Narrow Band Imaging (Mostra >>)
Assessing the impact of stimulation environment and error probability on ErrP EEG response, detection and subject attention: an explorative study (Mostra >>)
Comparative Assessment of Physiological Responses to Emotional Elicitation by Auditory and Visual Stimuli (Mostra >>)
Developing a robust two-step machine learning multiclassification pipeline to predict primary site in head and neck carcinoma from lymph nodes (Mostra >>)
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review (Mostra >>)
Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools (Mostra >>)
Identification of Electrocardiographic Patterns Related to Mortality with COVID-19 (Mostra >>)
Large language models in healthcare: from a systematic review on medical examinations to a comparative analysis on fundamentals of robotic surgery online test (Mostra >>)
Lung nodule classification using radiomics model trained on degraded SDCT images (Mostra >>)
MRI radiomics in head and neck cancer from reproducibility to combined approaches (Mostra >>)
Mixed Reality and Artificial Intelligence: a Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy (Mostra >>)
Radiomic features of primary retroperitoneal sarcomas: a prognostic study (Mostra >>)
The One Health approach in urban ecosystem rehabilitation: An evidence-based framework for designing sustainable cities (Mostra >>)
Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulation (Mostra >>)


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


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
A CNN for Covid Detection Using ECG signals (Mostra >>)
Analysis of the skin conductance and pupil signals for evaluation of emotional elicitation by images and sounds (Mostra >>)
CEL-Unet: a novel CNN architecture for 3D Segmentation of Knee Bones affected by Severe Osteoarthritis for PSI-Based Surgical Planning (Mostra >>)
Cellular Heterogeneity in the Atria: An In Silico Study in the Impact on Reentries (Mostra >>)
Comparison of different emotion stimulation modalities: an EEG signal analysis (Mostra >>)
EEG Analysis of Selective Attention during Error Potential BCI experiments (Mostra >>)
Spectral differences in resting-state EEG associated to individual Emotional Styles (Mostra >>)
Articoli su riviste
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction (Mostra >>)
ARX-based EEG data balancing for error potential BCI (Mostra >>)
Analysis of physiological and non-contact signals to evaluate the emotional component in consumer preferences (Mostra >>)
Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort (Mostra >>)
CEL-Unet: Distance Weighted Maps and Multi-Scale Pyramidal Edge Extraction for Accurate Osteoarthritic Bone Segmentation in CT Scans (Mostra >>)
Cellular heterogeneity and repolarisation across the atria: an in silico study (Mostra >>)
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance (Mostra >>)
Ensemble classification combining ResNet and handcrafted features with three-steps training (Mostra >>)
Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves (Mostra >>)
Hybrid Convolutional Networks for End-to-End Event Detection in Concurrent PPG and PCG Signals Affected by Motion Artifacts (Mostra >>)
Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks (Mostra >>)
Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2021 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
A Poincaré Image-Based Detector of ECG Segments Containing Atrial and Ventricular Beats (Mostra >>)
Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data (Mostra >>)
Effect of Ischemia on the Spatial Heterogeneity of Ventricular Repolarization: A Simulation Study (Mostra >>)
Ensemble Learning of Modified Residual Networks for Classifying ECG with Different Set of Leads (Mostra >>)
Error perception classification in Brain-Computer Interfaces using CNN (Mostra >>)
Impacts of Cellular Electrophysiological Variability on Conduction Velocity Within Isolated Tissue and Depolarization and Repolarization Across the Whole Atrial Model (Mostra >>)
It's a Question of Methods: Computational Factors Influencing the Frontal Asymmetry in Measuring the Emotional Valence (Mostra >>)
Yellow (Lens) Better: Bioelectrical and Biometrical Measures to Assess Arousing and Focusing Effects (Mostra >>)
Articoli su riviste
A CT-based radiomic signature can be prognostic for 10-months overall survival in metastatic tumors treated with nivolumab: An exploratory study (Mostra >>)
A Detector for Premature Atrial and Ventricular Complexes (Mostra >>)
A comparison of regional classification strategies implemented for the population based approach to modelling atrial fibrillation (Mostra >>)
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI (Mostra >>)
Heart Rate Variability and Clinical Features as Predictors of Atrial Fibrillation Recurrence After Catheter Ablation: A Pilot Study (Mostra >>)
MOS Sensors Array for the Discrimination of Lung Cancer and At-Risk Subjects With Exhaled Breath Analysis (Mostra >>)
Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection (Mostra >>)
Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients (Mostra >>)
Retrospective study of late radiation-induced damages after focal radiotherapy for childhood brain tumors (Mostra >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
23/04/2025