Autori: Filipovic Nenad D
Naslov | Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study (Article) |
Autori | Charman Sarah J ... Preveden Andrej P ![]() ![]() ![]() ![]() |
Info | BMJ OPEN, (2025), vol. 15 br. 1, str. - |
Projekat | European Union [101080905, 23.00202]; Federal Department of Economic Affairs, Education and Research (EAER); State Secretariat for Education, Research and Innovation (SERI); Finance Research and Innovation/European Framework Programmes, for Suisse Confederation; UK Research and Innovation [10073472] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes (Article) |
Autori | Geroski Tijana ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Info | BIOMEDICAL SIGNAL PROCESSING AND CONTROL, (2025), vol. 100 br. , str. - |
Projekat | European Union [101016834]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-47/2023-01/200107, 451-03-47/2023 01/200378] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | The ventilatory efficiency parameters outperform peak oxygen consumption in monitoring the therapy effects in patients with hypertrophic cardiomyopathy (Review) |
Autori | Seman Stefan Tesic Milorad B ![]() ![]() ![]() ![]() ![]() ![]() |
Info | PROGRESS IN CARDIOVASCULAR DISEASES, (2024), vol. 87 br. , str. 90-96 |
Projekat | European Union [777204] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
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Naslov | ACE2 and TMPRSS2 genetic polymorphisms as potential predictors of COVID-19 severity and outcome in females (Article) |
Autori | Matic Sanja D ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Info | FRONTIERS IN MEDICINE, (2024), vol. 11 br. , str. - |
Projekat | Science Fund of the Republic of Serbia [7749739] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Accuracy of analytically determined fractional flow reserve derived from coronary angiography for non-invasive assessment of coronary artery stenosis (Article) |
Autori | Milovanovic Aleksandar ![]() ![]() ![]() ![]() |
Info | TECHNOLOGY AND HEALTH CARE, (2024), vol. 32 br. 6, str. 4613-4626 |
Projekat | Ministry of Science, Technological Development and Inovation of the Republic of Serbia [451-03-65/2024-03/200107]; Faculty of Engineering, University of Kragujevac |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Application of biogenic silver nanoparticle incorporated nanofibers in biomedical science (Article) |
Autori | Qamar Safi Ur Rehman ![]() ![]() ![]() ![]() ![]() |
Info | INORGANIC CHEMISTRY COMMUNICATIONS, (2024), vol. 170 br. , str. - |
Projekat | European Union's Horizon 2020 research and innovation program [956470] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy (Article) |
Autori | Pavic Jelena N ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Info | PHARMACEUTICALS, (2024), vol. 17 br. 10, str. - |
Projekat | European Union's Horizon Europe research and innovation programme; [101080905] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images (Article) |
Autori | Geroski Tijana ![]() ![]() ![]() ![]() ![]() ![]() |
Info | JOURNAL OF BIG DATA, (2024), vol. 11 br. 1, str. - |
Projekat | European Union's Horizon 2020 research and innovation programme under grant agreement No 101016834 (HOSMARTAI) |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | From imaging to personalized 3D printed molds in cranioplasty (Article) |
Autori | Geroski Tijana ![]() ![]() ![]() ![]() |
Info | MEDICAL ENGINEERING & PHYSICS, (2024), vol. 130 br. , str. - |
Projekat | Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-47/2023-01/200107]; European Union [952603] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging (Article) |
Autori | Tomasevic Smiljana ![]() ![]() ![]() ![]() ![]() |
Info | TECHNOLOGY AND HEALTH CARE, (2024), vol. 32 br. 4, str. 2553-2574 |
Projekat | European Union [755320-2 - TAXINOMISIS]; Serbian Ministry of Education, Science, and Technological Development [451-03-47/2023-01/200378, 451-03-47/2023-01/200107] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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