Wyszukiwarka
magister Krystian Zieliński
Zatrudnienie
- Doktorant w Katedra Inżynierii Biomedycznej
Publikacje
Filtry
wszystkich: 12
Katalog Publikacji
Rok 2024
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Exploring gonadotropin dosing effects on MII oocyte retrieval in ovarian stimulation
Publikacja -
Serum levels of stem cell factor for predicting embryo quality
Publikacja
Rok 2023
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Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires
PublikacjaBackground Endometriosis is a condition that significantly affects the quality of life of about 10 % of reproductive-aged women. It is characterized by the presence of tissue similar to the uterine lining (endometrium) outside the uterus, which can lead lead scarring, adhesions, pain, and fertility issues. While numerous factors associated with endometriosis are documented, a wide range of symptoms may still be undiscovered. Methods In...
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Federated Learning in Healthcare Industry: Mammography Case Study
PublikacjaThe paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...
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O-256 Evaluation of the fertility potential of semen using Proton NMR
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P-544 Biochemical markers as a predictor of clinical pregnancy on day 6 after embryo transfer
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P-674 Automatizing ovarian follicle counting and measurement with artificial intelligence
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublikacjaControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
Rok 2022
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Analysing the Residential Market Using Self-Organizing Map
PublikacjaAlthough the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial...
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P-653 The impact of clinical factors on the number of MII oocytes
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P-666 Detecting gene variants correlated with MII oocytes developed during ovarian stimulation
Publikacja
Rok 2021
wyświetlono 1169 razy