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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 sul docente
DocenteMainardi Luca
QualificaProfessore ordinario a tempo pieno
Dipartimento d'afferenzaDipartimento di Elettronica, Informazione e Bioingegneria
Settore Scientifico DisciplinareING-INF/06 - Bioingegneria Elettronica E Informatica
Curriculum VitaeScarica il CV (243.5Kb - 29/07/2023)
OrcIDhttps://orcid.org/0000-0002-6276-6314

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Orario di ricevimento
DipartimentoPianoUfficioGiornoOrarioTelefonoFaxNote
BIOINGEGNERIA - ED. 21IV--LunedìDalle 10:00
Alle 12:00
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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 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
Assessing the Performance of MRI-Radiomic Prognostic Signatures in Head and Neck Cancer Patients: A Comparative Analysis (Mostra >>)
Emotional State Evaluation in Driving Simulations: PC Versus Virtual Theater (Mostra >>)
Articoli su riviste
Comparative Assessment of Physiological Responses to Emotional Elicitation by Auditory and Visual Stimuli (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
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 >>)
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 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 >>)
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 >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2020 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
An In-Silico Study into the Impact of Electrophysiological Variability at the Cellular Level on the Re-entry Patterns in Atrial Fibrillation (Mostra >>)
Analysis of physiological and non-contact signals for the assessment of emotional components in consumer preference (Mostra >>)
Assessing an Automatic Procedure of Extraction of Physiological Parameters from Skin using Video Photoplethysmography (Mostra >>)
Atrial fibrillation detection using photoplethysmographic signal: The effect of the observation window (Mostra >>)
Beat-to-beat P-wave Variability Increases from Paroxysmal to Persistent Atrial Fibrillation (Mostra >>)
Brain MRI Tumor Segmentation with Adversarial Networks (Mostra >>)
ECG Morphological Decomposition for Automatic Rhythm Identification (Mostra >>)
Emotion assessment using Machine Learning and low-cost wearable devices (Mostra >>)
Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patients (Mostra >>)
Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor Data (Mostra >>)
Articoli su riviste
A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology (Mostra >>)
A simple model to detect atrial fibrillation via visual imaging (Mostra >>)
Anodal transcranial direct current stimulation and intermittent theta-burst stimulation improve deglutition and swallowing reproducibility in elderly patients with dysphagia (Mostra >>)
Application of an OCT-based 3D reconstruction framework to the hemodynamic assessment of an ulcerated coronary artery plaque (Mostra >>)
Assessment of spatial heterogeneity of ventricular repolarization after multi-channel blocker drugs in healthy subjects (Mostra >>)
Baseline mri-radiomics can predict overall survival in non-endemic ebv-related nasopharyngeal carcinoma patients (Mostra >>)
Chest Wearable Apparatus for Cuffless Continuous Blood Pressure Measurements Based on PPG and PCG Signals (Mostra >>)
Deep 3D Convolutional Networks to Segment Bones Affected by Severe Osteoarthritis in CT Scans for PSI-Based Knee Surgical Planning (Mostra >>)
Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project (Mostra >>)
Heart Rate Variability Triangular Index as a Predictor of Cardiovascular Mortality in Patients With Atrial Fibrillation (Mostra >>)
Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection (Mostra >>)
Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer (Mostra >>)
Response to "Electrocardiographic sexual differences in patients with atrial fibrillation" (Mostra >>)
Sex-related electrocardiographic differences in patients with different types of atrial fibrillation: Results from the SWISS-AF study (Mostra >>)
manifesti v. 3.5.13 / 3.5.13
Area Servizi ICT
05/03/2024