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Ivan Lorencin

Showing results (1-10 of 13) with videos related to

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Artificial Intelligence in Medicine|January 26, 2020
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosisIvan Lorencin, Nikola Anđelić, Josip Španjol, et al.
Biomedicines|February 25, 2023
On Approximating the <i>pIC</i><sub>50</sub> Value of COVID-19 Medicines In Silico with Artificial Neural NetworksSandi Baressi Šegota, Ivan Lorencin, Zoran Kovač, et al.
Sensors (Basel, Switzerland)|February 11, 2023
Localization and Classification of Venusian Volcanoes Using Image Detection AlgorithmsDaniel Đuranović, Sandi Baressi Šegota, Ivan Lorencin, et al.
Sensors (Basel, Switzerland)|January 8, 2023
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion DataNikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Computational and Mathematical Methods in Medicine|June 23, 2020
Modeling the Spread of COVID-19 Infection Using a Multilayer PerceptronZlatan Car, Sandi Baressi Šegota, Nikola Anđelić, et al.
Health Informatics Journal|January 18, 2021
Estimation of COVID-19 epidemic curves using genetic programming algorithmNikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology|March 3, 2021
On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data AugmentationIvan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
Frontiers in Public Health|November 15, 2021
Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux UnionTijana Šušteršič, Andjela Blagojević, Danijela Cvetković, et al.
International Journal of Environmental Research and Public Health|January 27, 2021
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming AlgorithmNikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology|November 27, 2021
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning ApproachSandi Baressi Šegota, Ivan Lorencin, Klara Smolić, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|January 26, 2020
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosisIvan Lorencin, Nikola Anđelić, Josip Španjol, et al.
Biomedicines|February 25, 2023
On Approximating the <i>pIC</i><sub>50</sub> Value of COVID-19 Medicines In Silico with Artificial Neural NetworksSandi Baressi Šegota, Ivan Lorencin, Zoran Kovač, et al.
Sensors (Basel, Switzerland)|February 11, 2023
Localization and Classification of Venusian Volcanoes Using Image Detection AlgorithmsDaniel Đuranović, Sandi Baressi Šegota, Ivan Lorencin, et al.
Sensors (Basel, Switzerland)|January 8, 2023
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion DataNikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Computational and Mathematical Methods in Medicine|June 23, 2020
Modeling the Spread of COVID-19 Infection Using a Multilayer PerceptronZlatan Car, Sandi Baressi Šegota, Nikola Anđelić, et al.
Health Informatics Journal|January 18, 2021
Estimation of COVID-19 epidemic curves using genetic programming algorithmNikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology|March 3, 2021
On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data AugmentationIvan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
Frontiers in Public Health|November 15, 2021
Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux UnionTijana Šušteršič, Andjela Blagojević, Danijela Cvetković, et al.
International Journal of Environmental Research and Public Health|January 27, 2021
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming AlgorithmNikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology|November 27, 2021
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning ApproachSandi Baressi Šegota, Ivan Lorencin, Klara Smolić, et al.
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