Agata M. Wijata

发表

An Automatic Method of Chronic Wounds Segmentation in Multimodal Images

Ewa Pietka, Joanna Czajkowska, Michal Krecichwost, 2019, ITIB.

Detection and Tracking of the Biopsy Needle Using Ultrasound Images

Joanna Czajkowska, Marta Galinska, Agata M. Wijata, 2017 .

Pre and Post Menarche - Girls' Bodies Parameters Comparison

Marcin D. Bugdol, Andrzej W. Mitas, Maria J. Bienkowska, 2016, ITIB.

Effective communication of information via variable message signing from the point of view of driver’s basic skills

Monika Bugdol, Agata M. Wijata, Seweryn Piwowarski, 2015 .

Impact of Music on the Effectiveness of Performing Mathematical-Logical Tasks

Andrzej W. Mitas, Maria J. Bienkowska, Anna M. Lipowicz, 2016, ITIB.

Evaluation of Methods for Volume Estimation of Chronic Wounds

Ewa Pietka, Joanna Czajkowska, Jan Juszczyk, 2019, ITIB.

Longitudinal Voice Study (LoVoiS) Methodology and Preliminary Research Results

Marcin D. Bugdol, Andrzej W. Mitas, Maria J. Bienkowska, 2016, ITIB.

Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction

Ewa Pietka, Joanna Czajkowska, Jakub Majewski, 2021, IEEE Access.

Preliminary Development of an Automatic Breast Tumour Segmentation Algorithm from Ultrasound Volumetric Images

Wojciech Wieclawek, Marta Galinska, Marcin Rudzki, 2018, ITIB.

Propozycja walidacji bloczków EduMATRIX jako narzędzia dydaktycznego wspomagającego proces nauczania matematyki w klasach nauczania początkowego

Andrzej W. Mitas, Anita Pollak, Agata M. Wijata, 2016 .

Sprawność przekazu informacji kolorystycznej jako determinanta bezpieczeństwa ruchu drogowego

Andrzej W. Mitas, Agata M. Wijata, Seweryn Piwowarski, 2014 .

Cyfrowy obraz rzeczywistości analogowej – ćwiczenie laboratoryjne z informatyki użytkowej

Andrzej W. Mitas, Agata M. Wijata, Maria J. Bieńkowska, 2015 .

Breast Lesion Segmentation Method Using Ultrasound Images

Dominik Spinczyk, Marta Galinska, Agata M. Wijata, 2018 .

Cycling as the alternative mean of short-range transportation: health benefits and risks

Andrzej W. Mitas, Monika Bugdol, A. Jaździk-Osmólska, 2015 .

Prediction of menarcheal status of girls using voice features

Marcin D. Bugdol, Andrzej W. Mitas, Maria J. Bienkowska, 2017, Comput. Biol. Medicine.

Breast Cancer Segmentation Method in Ultrasound Images

Joanna Czajkowska, Jan Juszczyk, Marta Galinska, 2017 .

A convolutional neural network for an automatic biopsy needle detection and segmentation on ultrasound images

Agata M. Wijata, Bartłomiej Pyciński, Jacek Andrzejewski, 2021 .

Signal to Noise Ratio in Intrauterine Environment During Acoustic Stimulation

Agata M. Wijata, A. Lipowicz, M. Bienkowska, 2017 .

Adolescent age estimation using voice features

Marcin D. Bugdol, Agata M. Wijata, A. Lipowicz, 2020, Biomedizinische Technik. Biomedical engineering.

Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results

Agata M. Wijata, J. Nalepa, B. Ruszczak, 2022, Remote. Sens..

Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies

Agata M. Wijata, J. Nalepa, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

An Automatic Biopsy Needle Detection and Segmentation on Ultrasound Images Using a Convolutional Neural Network

Agata M. Wijata, Bartłomiej Pyciński, Jacek Andrzejewski, 2021, Ultrasonic imaging.

Machine learning predicts cardiovascular events in patients with diabetes: The Silesia Diabetes-Heart Project.

Agata M. Wijata, J. Gumprecht, G. Lip, 2023, Current problems in cardiology.

Automated size-specific dose estimates using deep learning image processing

Pawel Badura, Joanna Czajkowska, Wojciech Wieclawek, 2020, Medical Image Anal..

Evaluation of Puberty in Girls by Spectral Analysis of Voice

Marcin D. Bugdol, Andrzej W. Mitas, Maria J. Bienkowska, 2018, ITIB.

Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions

Agata M. Wijata, F. Gascon, J. Nieke, 2023, IEEE Geoscience and Remote Sensing Magazine.

Machine learning profiles of cardiovascular risk in patients with diabetes mellitus: the Silesia Diabetes-Heart Project

Agata M. Wijata, J. Gumprecht, G. Lip, 2023, Cardiovascular Diabetology.

Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning

Agata M. Wijata, Martyna Kurbiel, Jakub Nalepa, 2024, ICPRAM.

Clinical Trial: Probiotics in Metformin Intolerant Patients with Type 2 Diabetes (ProGasMet).

Agata M. Wijata, I. Łoniewski, K. Nabrdalik, 2023, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

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 Project

Agata M. Wijata, Oliwia Janota, Mirela Hendel, 2023, Cardiovascular Diabetology.