Pregled po CROSBI profilu: Klaudija Višković (CROSBI Profil: 29239, MBZ: 275924)
Pronađeno 168 radova
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1.Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework // Diagnostics, 2 (2023), 13; 37296806, 25 doi:10.3390/diagnostics13111954. (međunarodna recenzija, članak, znanstveni)
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2.Radiološka dijagnostika // COVID-19 Molekularna biologija SARS-COV-2, patogeneza, klinička slika, liječenje i profilaksa bolesti / Vince, Adriana ; Papić, Neven (ur.).
Zagreb: Medicinski fakultet Sveučilišta u Zagrebu, 2023. str. 31-38 -
3.Biološki efekti i sigurnost pri oslikavanju magnetskom rezonancom // Knjiga Sažetaka Drugog hrvatskog kongresa o biosigurnosti i biozaštiti-CROBIB 2023
Zagreb, 2023. str. 79-79 (pozvano predavanje, domaća recenzija, prošireni sažetak, ostalo) -
4.New focus of human alveolar echinococcosis in central continental Croatia: a case series // 33rd ECCMID (European Congress of Clinical Microbiology and Infectious Diseases)
Kopenhagen, Danska, 2023. 1065/P3412, 1 (poster, međunarodna recenzija, sažetak, znanstveni) -
5.Case Report: Amphotericin B and Mefloquine as a Salvage Treatment of Alveolar Echinococcosis // The American Journal of Tropical Medicine and Hygiene, 108 (2023), 3; 581-583 doi:10.4269/ajtmh.22-0465 (međunarodna recenzija, članak, znanstveni)
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6.COVID-19 and Pulmonary Thrombosis—An Unresolved Clinical Puzzle: A Single-Center Cohort Study // Journal of clinical medicine, 11 (2022), 23; 7049, 10 doi:10.3390/jcm11237049 (međunarodna recenzija, članak, znanstveni)
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7.Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review // Diagnostics, 12 (2022), 7; 47, 47 doi:10.3390/diagnostics12071543 (međunarodna recenzija, članak, znanstveni)
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8.Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models // Diagnostics, 12 (2022), 3; 32, 32 (međunarodna recenzija, članak, znanstveni)
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9.Reversibility of Lipoatrophy in HIV-Infected Patients Taking Antiretroviral Therapy: a Cohort Study with Ultrasound Assessment // Acta clinica Croatica, 61 (2022), 1; 11-18 (međunarodna recenzija, članak, znanstveni)
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10.Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review // Metabolites, 12 (2022), 4; 30, 30 doi:10.3390/metabo12040312 (međunarodna recenzija, članak, znanstveni)
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11.Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation // Journal of Medical Systems, 46 (2022), 10; 29, 29 doi:10.1007/s10916-022-01850-y (međunarodna recenzija, članak, znanstveni)
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12.COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans // Diagnostics, 12 (2022), 6; 40, 40 doi:10.3390/diagnostics12061482 (međunarodna recenzija, članak, znanstveni)
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13.COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans // Diagnostics, 12 (2022), 5; 34, 34 doi:10.3390/diagnostics12051283 (međunarodna recenzija, članak, znanstveni)
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14.Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID- 19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review // Diagnostics, 12 (2022), 5; 39, 39 doi:10.3390/diagnostics12051234 (međunarodna recenzija, članak, znanstveni)
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15.Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report // Journal of Cardiovascular Development and Disease, 9 (2022), 8; 51, 51 doi:10.3390/jcdd9080268 (međunarodna recenzija, članak, znanstveni)
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16.Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0 // Computers in Biology and Medicine, 146 (2022), 34, 34 doi:10.1016/j.compbiomed.2022.105571 (međunarodna recenzija, članak, znanstveni)
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17.Splenic infarctions in two patients with infectious mononucleosis due to Epstein-Barr virus // CROCMID 2022 Abstract Book
Šibenik, Hrvatska, 2022. str. PO-91 (poster, domaća recenzija, sažetak, stručni) -
18.Disseminated nocardiosis in a patient with newly diagnosed HIV infection // CROCMID 2022 Abstract Book
Šibenik, Hrvatska, 2022. str. PO-71 (poster, domaća recenzija, sažetak, stručni) -
19.Application of artificial intelligence tools in the diagnosis of COVID-19 pneumonia // CROCMID 2022 Abstract Book
Šibenik, Hrvatska, 2022. str. PL-4 (pozvano predavanje, domaća recenzija, sažetak, znanstveni) -
20.Association of Nonalcoholic Fatty Liver Disease With COVID-19 Severity and Pulmonary Thrombosis: CovidFAT, a Prospective, Observational Cohort Study // Open Forum Infectious Diseases, 9 (2022), 4; ofac073, 8 doi:10.1093/ofid/ofac073 (međunarodna recenzija, članak, znanstveni)
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21.Slikovna dijagnostika encefalitisa // Infekcije središnjeg živčanog sustava ; On-line simpozij
Zagreb, Hrvatska, 2022. (predavanje, domaća recenzija, neobjavljeni rad, stručni) -
22.Endoscopic Endonasal Surgery for a Pterygopalatine Fossa Hydatid Cyst // Journal of Maxillofacial and Oral Surgery, 21 (2022), 1; 93-98 doi:10.1007/s12663-021-01545-w (međunarodna recenzija, članak, znanstveni)
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23.Severe West Nile virus neuroinvasive disease: clinical characteristics, short- and long-term outcomes // Pathogens, 11 (2022), 1; 52, 16 doi:10.3390/pathogens11010052 (međunarodna recenzija, članak, znanstveni)
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24.Diferencijalna dijagnoza intersticijske pneumonije u vrijeme COVID-19 pandemije – prikazi bolesnika // Infektološki glasnik, 41 (2021), 4; 131-137 doi:10.37797/ig.41.4.4 (međunarodna recenzija, članak, znanstveni)
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25.Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography // Diagnostics, 11 (2021), 11; 36, 36 doi:10.3390/diagnostics11112025 (međunarodna recenzija, članak, znanstveni)
