Valentina D. A. Corino
Polytechnic University of Milan
Internal medicineRhythmArtificial intelligenceCardiologyP wavePattern recognitionSinus rhythmAtrioventricular nodeProlongationHeart rateAtrial fibrillationElectrocardiographyIn patientMathematicsComputer scienceAnesthesiaRefractory periodHeart rate variabilityMedicineBlood pressure
105Publications
15H-index
606Citations
Publications 104
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#1Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
#2Marco Bologna (Polytechnic University of Milan)H-Index: 6
Last. Paolo Bossi (University of Brescia)H-Index: 39
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Baseline clinical prognostic factors for recurrent and/or metastatic (RM) head and neck squamous cell carcinoma (HNSCC) treated with immunotherapy are lacking. CT-based radiomics may provide additional prognostic information. A total of 85 patients with RM-HNSCC were enrolled for this study. For each tumor, radiomic features were extracted from the segmentation of the largest tumor mass. A pipeline including different feature selection steps was used to train a radiomic signature prognostic for ...
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#1Salvatore AlfieriH-Index: 14
Last. Lisa Licitra (University of Milan)H-Index: 67
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To identify and validate baseline magnetic resonance imaging (b-MRI) radiomic features (RFs) as predictors of disease outcomes in effectively cured head and neck squamous cell carcinoma (HNSCC) pat...
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#1Javier Saiz-Vivo (Polytechnic University of Milan)H-Index: 1
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Luca T. Mainardi (Polytechnic University of Milan)H-Index: 36
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Single-procedure catheter ablation success rate is as low as 52% in atrial fibrillation (AF) patients. This study evaluated the feasibility of using clinical data and heart rate variability (HRV) features extracted from an implantable cardiac monitor (ICM) to predict recurrences in patients prior to undergoing catheter ablation for atrial fibrillation (AF). HRV derived features were extracted from the 500 beats preceding the AF onset and from the first 2 minutes of the last AF episode recorded b...
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A detector based only on RR intervals capable of classifying other tachyarrhythmias in addition to atrial fibrillation (AF) could improve cardiac monitoring. In this paper a new classification method based in a 2D non-linear RRI dynamics representation is presented. For this aim, the concepts of Poincar Images and Atlases are introduced. Three cardiac rhythms were targeted: Normal sinus rhythm (NSR), AF and atrial bigeminy (AB). Three Physionet open source databases were used. Poincar images wer...
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#1Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
#2Luca Iozzia (Polytechnic University of Milan)H-Index: 3
Last. Federico Lombardi (Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico)H-Index: 63
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Automatic detection of atrial fibrillation (AF) is a challenging issue. In this study we proposed and validated a model to identify AF by using facial video recordings. We analyzed photoplethysmographic imaging (PPGi) signals, extracted from video of a subject's face. Sixty-eight patients were included: 30 in sinus rhythm (SR), 25 in AF and 13 presenting with atrial flutter or frequent ectopic beats (ARR). Twenty-six indexes were computed. The dataset was divided in three subsets: the training, ...
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#1Joachim Behar (University of Oxford)H-Index: 23
#2Chengyu Liu (SEU: Southeast University)H-Index: 32
Last. Gari D. Clifford (Emory University)H-Index: 66
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Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia requires early detection and monitoring, within a clinical environment for critical cases and remotely for mild cases, with a large spectrum of symptoms. The fear of contamination in clinical environments has led to a dramatic reduction in on-site referrals for routine care. There has also been a perceived...
7 CitationsSource
#1Marco Bologna (Polytechnic University of Milan)H-Index: 6
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Ester OrlandiH-Index: 22
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Advanced stage nasopharyngeal cancer (NPC) shows highly variable treatment outcomes, suggesting the need for independent prognostic factors. This study aims at developing a magnetic resonance imaging (MRI)-based radiomic signature as a prognostic marker for different clinical endpoints in NPC patients from non-endemic areas. A total 136 patients with advanced NPC and available MRI imaging (T1-weighted and T2-weighted) were selected. For each patient, 2144 radiomic features were extracted from th...
1 CitationsSource
#1Guadalupe García-Isla (Charles III University of Madrid)H-Index: 1
#2Rita Laureanti (Polytechnic University of Milan)H-Index: 3
Last. Luca T. Mainardi (Polytechnic University of Milan)H-Index: 36
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Manual rhythm classification in 12-lead ECGs is time-consuming and operator-biased. We present an automatic ECG classifier using CinC's 2020 challenge dataset. In the first phase of the Challenge, 9 categories were targeted with an ensemble of 4 classifiers. In the second phase, 7 classifiers were implemented to detect 24 cardiac electrophysiological disorders. Five classifiers identified abnormalities in different specific regions of the heart's conducting system. Two classifiers were dedicated...
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