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Jakub Nalepa

Showing results (11-20 of 27) with videos related to

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Computers in Biology and Medicine|December 13, 2022
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic featuresKrzysztof Kotowski, Damian Kucharski, Bartosz Machura, et al.
Computer Methods and Programs in Biomedicine|June 16, 2019
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networksPablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, et al.
Scientific Reports|May 22, 2026
Machine-learning-based cardiovascular mortality prediction using a cumulative PM<sub>2.5</sub> exposure metric in high risk groups: a retrospective cohort studyAgata M Wijata, Gregory Y H Lip, Anna Kurasz, et al.
Cardiovascular Diabetology|November 12, 2022
Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approachKarolina Drożdż, Katarzyna Nabrdalik, Hanna Kwiendacz, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|October 9, 2023
Clinical Trial: Probiotics in Metformin Intolerant Patients with Type 2 Diabetes (ProGasMet)Katarzyna Nabrdalik, Karolina Drożdż, Hanna Kwiendacz, et al.
Cardiovascular Diabetology|November 21, 2023
Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart ProjectKatarzyna Nabrdalik, Hanna Kwiendacz, Krzysztof Irlik, et al.
The Journal of Clinical Endocrinology and Metabolism|February 8, 2024
Machine Learning Identifies Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients With Diabetes MellitusKatarzyna Nabrdalik, Hanna Kwiendacz, Krzysztof Irlik, et al.
Computers in Biology and Medicine|July 8, 2025
Artificial intelligence and digital twins for the personalised prediction of hypertension riskAkhil Naik, Jakub Nalepa, Agata M Wijata, et al.
Polish Archives of Internal Medicine|March 1, 2023
Relationship of vitamin D deficiency with cardiovascular disease and glycemic control in patients with type 2 diabetes mellitus: the Silesia Diabetes-Heart ProjectHanna Kwiendacz, Katarzyna Nabrdalik, Agata M Wijata, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 25, 2024
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studiesBartosz Machura, Damian Kucharski, Oskar Bozek, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Computers in Biology and Medicine|December 13, 2022
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic featuresKrzysztof Kotowski, Damian Kucharski, Bartosz Machura, et al.
Computer Methods and Programs in Biomedicine|June 16, 2019
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networksPablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, et al.
Scientific Reports|May 22, 2026
Machine-learning-based cardiovascular mortality prediction using a cumulative PM<sub>2.5</sub> exposure metric in high risk groups: a retrospective cohort studyAgata M Wijata, Gregory Y H Lip, Anna Kurasz, et al.
Cardiovascular Diabetology|November 12, 2022
Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approachKarolina Drożdż, Katarzyna Nabrdalik, Hanna Kwiendacz, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|October 9, 2023
Clinical Trial: Probiotics in Metformin Intolerant Patients with Type 2 Diabetes (ProGasMet)Katarzyna Nabrdalik, Karolina Drożdż, Hanna Kwiendacz, et al.
Cardiovascular Diabetology|November 21, 2023
Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart ProjectKatarzyna Nabrdalik, Hanna Kwiendacz, Krzysztof Irlik, et al.
The Journal of Clinical Endocrinology and Metabolism|February 8, 2024
Machine Learning Identifies Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients With Diabetes MellitusKatarzyna Nabrdalik, Hanna Kwiendacz, Krzysztof Irlik, et al.
Computers in Biology and Medicine|July 8, 2025
Artificial intelligence and digital twins for the personalised prediction of hypertension riskAkhil Naik, Jakub Nalepa, Agata M Wijata, et al.
Polish Archives of Internal Medicine|March 1, 2023
Relationship of vitamin D deficiency with cardiovascular disease and glycemic control in patients with type 2 diabetes mellitus: the Silesia Diabetes-Heart ProjectHanna Kwiendacz, Katarzyna Nabrdalik, Agata M Wijata, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 25, 2024
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studiesBartosz Machura, Damian Kucharski, Oskar Bozek, et al.
Pageof 3