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ORCIDJoanna Czajkowska
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2020 – today
- 2023
[c14]Anna Slian, Joanna Czajkowska, Monika Bugdol:
Mobile Application for Learning Polish Sign Language. PCBBE 2023: 95-104- 2022
- [j13]Joanna Czajkowska, Pawel Badura
, Szymon Korzekwa, Anna Platkowska-Szczerek:
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness. Comput. Medical Imaging Graph. 95: 102023 (2022) - [j12]Joanna Czajkowska, Jan Maria Juszczyk, Laura Piejko, Malgorzata Glenc-Ambrozy:
High-Frequency Ultrasound Dataset for Deep Learning-Based Image Quality Assessment. Sensors 22(4): 1478 (2022) - [j11]Joanna Czajkowska, Martyna Borak:
Computer-Aided Diagnosis Methods for High-Frequency Ultrasound Data Analysis: A Review. Sensors 22(21): 8326 (2022) - [c13]Dzesika Szymanska, Joanna Czajkowska, Szymon Korzekwa, Anna Platkowska-Szczerek:
Study on the Impact of Neural Network Architecture and Region of Interest Selection on the Result of Skin Layer Segmentation in High-Frequency Ultrasound Images. ITIB 2022: 208-221 - 2021
- [j10]Jan Maria Juszczyk, Agata Wijata, Joanna Czajkowska, Michal Krecichwost, Marcin Rudzki, Marta Biesok, Bartlomiej Pycinski, Jakub Majewski, Jacek Kostecki, Ewa Pietka:
Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction. IEEE Access 9: 7894-7907 (2021) - [j9]Michal Krecichwost, Joanna Czajkowska, Agata Wijata, Jan Maria Juszczyk, Bartlomiej Pycinski, Marta Biesok, Marcin Rudzki, Jakub Majewski, Jacek Kostecki, Ewa Pietka:
Chronic wounds multimodal image database. Comput. Medical Imaging Graph. 88: 101844 (2021) - [j8]Jan Maria Juszczyk, Pawel Badura, Joanna Czajkowska, Agata Wijata, Jacek Andrzejewski, Pawel Bozek, Michal Smolinski, Marta Biesok, Agata Sage, Marcin Rudzki, Wojciech Wieclawek:
Automated size-specific dose estimates using deep learning image processing. Medical Image Anal. 68: 101898 (2021) - [j7]Joanna Czajkowska, Pawel Badura, Szymon Korzekwa, Anna Platkowska-Szczerek, Monika Slowinska:
Deep Learning-Based High-Frequency Ultrasound Skin Image Classification with Multicriteria Model Evaluation. Sensors 21(17): 5846 (2021) - 2020
- [j6]Joanna Czajkowska, Szymon Korzekwa, Ewa Pietka:
Computer Aided Diagnosis of Atopic Dermatitis. Comput. Medical Imaging Graph. 79: 101676 (2020)
2010 – 2019
- 2019
- [j5]Dominik Spinczyk, Aleksandra Badura, Piotr Sperka, Marcin Stronczek, Bartlomiej Pycinski, Jan Maria Juszczyk, Joanna Czajkowska, Marta Biesok, Marcin Rudzki, Wojciech Wieclawek, Piotr Zarychta, Pawel Badura, Andre Woloshuk, Jaroslaw Zylkowski, Grzegorz Rosiak, Dariusz Konecki, Krzysztof Milczarek, Olgierd Rowinski, Ewa Pietka:
Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation. Comput. Medical Imaging Graph. 78 (2019) - [c12]Joanna Czajkowska, Marta Biesok, Jan Maria Juszczyk, Agata M. Wijata, Bartlomiej Pycinski, Michal Krecichwost, Ewa Pietka:
An Automatic Method of Chronic Wounds Segmentation in Multimodal Images. ITIB 2019: 249-257 - [c11]Jan Maria Juszczyk, Agata M. Wijata, Joanna Czajkowska, Marta Biesok, Bartlomiej Pycinski, Ewa Pietka:
Evaluation of Methods for Volume Estimation of Chronic Wounds. ITIB 2019: 258-267 - 2018
- [j4]Joanna Czajkowska, Bartlomiej Pycinski, Jan Maria Juszczyk, Ewa Pietka:
Biopsy needle tracking technique in US images. Comput. Medical Imaging Graph. 65: 93-101 (2018) - [c10]Bartlomiej Pycinski, Jan Maria Juszczyk, Agata Wijata, Marta Galinska, Joanna Czajkowska, Ewa Pietka:
Image Guided Core Needle Biopsy of the Breast. ITIB 2018: 160-171 - 2016
- [c9]Joanna Czajkowska, Jan Maria Juszczyk, Bartlomiej Pycinski, Ewa Pietka:
Biopsy Needle and Tissue Deformations Detection in Elastography Supported Ultrasound. ITIB (1) 2016: 85-96 - [c8]Jan Maria Juszczyk, Joanna Czajkowska, Bartlomiej Pycinski, Ewa Pietka:
ToF-Data-Based Modelling of Skin Surface Deformation. ITIB (2) 2016: 235-244 - 2015
- [j3]Imad Zyout, Joanna Czajkowska, Marcin Grzegorzek:
Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography. Comput. Medical Imaging Graph. 46: 95-107 (2015) - [j2]Joanna Czajkowska, Christian Feinen, Marcin Grzegorzek, Matthias Raspe, Ralph Wickenhöfer:
Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques. Comput. Medical Imaging Graph. 46: 142-152 (2015) - [c7]Joanna Czajkowska, Bartlomiej Pycinski, Ewa Pietka:
HoG feature based detection of tissue deformations in ultrasound data. EMBC 2015: 6326-6329 - 2014
- [j1]Joanna Czajkowska, Ewa Pietka:
A new parametric model-based technique in bone tumour analysis. Comput. Medical Imaging Graph. 38(5): 315-325 (2014) - [c6]Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, Matthias Raspe, Ralph Wickenhöfer:
Skeleton-based abdominal aorta registration technique. EMBC 2014: 6718-6721 - [c5]Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, Longin Jan Latecki:
3D object retrieval by 3D curve matching. ICIP 2014: 2749-2753 - 2013
- [c4]Joanna Czajkowska:
Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis. IJCCI 2013: 185-192 - [c3]Joanna Czajkowska, Jacek Kawa, Zbigniew Czajkowski, Marcin Grzegorzek:
4-D fuzzy connectedness-based medical image segmentation technique. MIXDES 2013: 519-524 - 2012
- [c2]Joanna Czajkowska, Monika Bugdol, Ewa Pietka:
Kernelized Fuzzy C-Means Method and Gaussian Mixture Model in Unsupervised Cascade Clustering. ITIB 2012: 58-66 - 2011
- [c1]Pawel Badura, Jacek Kawa, Joanna Czajkowska, Marcin Rudzki, Ewa Pietka:
Fuzzy Connectedness in Segmentation of Medical Images - A Look at the Pros and Cons. IJCCI (ECTA-FCTA) 2011: 486-492
Coauthor Index
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