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ProfessorCorino Valentina
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/06 - Electronic And Informatics Bioengineering
Curriculum VitaeDownload CV (208.47Kb - 22/05/2023)

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

List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Assessing the Performance of MRI-Radiomic Prognostic Signatures in Head and Neck Cancer Patients: A Comparative Analysis (Show >>)

List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Cardiac Effect of Acupuncture on the Neiguan Point (Show >>)
Distinguishing lymph nodes in head and neck cancer patients using MRI-based radiomics (Show >>)
Journal Articles
A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography (Show >>)
Atrial fibrillation episode patterns as predictor of clinical outcome of catheter ablation (Show >>)
Combining deep learning and machine learning for the automatic identification of hip prosthesis failure: Development, validation and explainability analysis (Show >>)
Editorial: Atrial Fibrillation: Technologies for Investigation, Monitoring and Treatment, Volume II (Show >>)
Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data (Show >>)
Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture (Show >>)
MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures (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 >>)

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 >>)
Journal Articles
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction (Show >>)
Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort (Show >>)
Automatic Identification of Failure in Hip Replacement: An Artificial Intelligence Approach (Show >>)
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance (Show >>)
Editorial: Atrial Fibrillation: Technology for Diagnosis, Monitoring, and Treatment (Show >>)
Ensemble classification combining ResNet and handcrafted features with three-steps training (Show >>)
Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy (Show >>)

List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Poincaré Image-Based Detector of ECG Segments Containing Atrial and Ventricular Beats (Show >>)
Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data (Show >>)
Effect of Ischemia on the Spatial Heterogeneity of Ventricular Repolarization: A Simulation Study (Show >>)
Ensemble Learning of Modified Residual Networks for Classifying ECG with Different Set of Leads (Show >>)
Impacts of Cellular Electrophysiological Variability on Conduction Velocity Within Isolated Tissue and Depolarization and Repolarization Across the Whole Atrial Model (Show >>)
Journal Articles
A CT-based radiomic signature can be prognostic for 10-months overall survival in metastatic tumors treated with nivolumab: An exploratory study (Show >>)
A Detector for Premature Atrial and Ventricular Complexes (Show >>)
Heart Rate Variability and Clinical Features as Predictors of Atrial Fibrillation Recurrence After Catheter Ablation: A Pilot Study (Show >>)
Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients (Show >>)

List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
An In-Silico Study into the Impact of Electrophysiological Variability at the Cellular Level on the Re-entry Patterns in Atrial Fibrillation (Show >>)
Atrial fibrillation detection using photoplethysmographic signal: The effect of the observation window (Show >>)
Beat-to-beat P-wave Variability Increases from Paroxysmal to Persistent Atrial Fibrillation (Show >>)
ECG Morphological Decomposition for Automatic Rhythm Identification (Show >>)
Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patients (Show >>)
Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor Data (Show >>)
Journal Articles
A simple model to detect atrial fibrillation via visual imaging (Show >>)
Assessment of spatial heterogeneity of ventricular repolarization after multi-channel blocker drugs in healthy subjects (Show >>)
Baseline mri-radiomics can predict overall survival in non-endemic ebv-related nasopharyngeal carcinoma patients (Show >>)
Heart Rate Variability Triangular Index as a Predictor of Cardiovascular Mortality in Patients With Atrial Fibrillation (Show >>)
Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection (Show >>)
Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer (Show >>)
Remote health diagnosis and monitoring in the time of COVID-19 (Show >>)
Response to "Electrocardiographic sexual differences in patients with atrial fibrillation" (Show >>)
Sex-related electrocardiographic differences in patients with different types of atrial fibrillation: Results from the SWISS-AF study (Show >>)
manifesti v. 3.5.17 / 3.5.17
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