Fuzzy Connectedness in Segmentation of Medical Images - A Look at the Pros and Cons. - Pawel Badura; Jacek Kawa; Joanna Czajkowska; Marcin Rudzki; Ewa Pietka (IJCCI (ECTA-FCTA), 2011)

Kernelized Fuzzy C-Means Method and Gaussian Mixture Model in Unsupervised Cascade Clustering. - Joanna Czajkowska; Monika Bugdol; Ewa Pietka (ITIB, 2012)

Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis. - Joanna Czajkowska (IJCCI, 2013)

4-D fuzzy connectedness-based medical image segmentation technique. - Joanna Czajkowska; Jacek Kawa; Zbigniew Czajkowski; Marcin Grzegorzek (MIXDES, 2013)

Skeleton-based abdominal aorta registration technique. - Christian Feinen; Joanna Czajkowska; Marcin Grzegorzek; Matthias Raspe; Ralph Wickenhöfer (EMBC, 2014)

3D object retrieval by 3D curve matching. - Christian Feinen; Joanna Czajkowska; Marcin Grzegorzek; Longin Jan Latecki (ICIP, 2014)

A new parametric model-based technique in bone tumour analysis. - Joanna Czajkowska; Ewa Pietka (Comput. Medical Imaging Graph., 2014)

HoG feature based detection of tissue deformations in ultrasound data. - Joanna Czajkowska; Bartlomiej Pycinski; Ewa Pietka (EMBC, 2015)

Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques. - Joanna Czajkowska; Christian Feinen; Marcin Grzegorzek; Matthias Raspe; Ralph Wickenhöfer (Comput. Medical Imaging Graph., 2015)

Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography. - Imad Zyout; Joanna Czajkowska; Marcin Grzegorzek (Comput. Medical Imaging Graph., 2015)

Biopsy Needle and Tissue Deformations Detection in Elastography Supported Ultrasound. - Joanna Czajkowska; Jan Maria Juszczyk; Bartlomiej Pycinski; Ewa Pietka (ITIB (1), 2016)

ToF-Data-Based Modelling of Skin Surface Deformation. - Jan Maria Juszczyk; Joanna Czajkowska; Bartlomiej Pycinski; Ewa Pietka (ITIB (2), 2016)

Image Guided Core Needle Biopsy of the Breast. - Bartlomiej Pycinski; Jan Maria Juszczyk; Agata Wijata; Marta Galinska; Joanna Czajkowska; Ewa Pietka (ITIB, 2018)

Biopsy needle tracking technique in US images. - Joanna Czajkowska; Bartlomiej Pycinski; Jan Maria Juszczyk; Ewa Pietka (Comput. Medical Imaging Graph., 2018)

An Automatic Method of Chronic Wounds Segmentation in Multimodal Images. - Joanna Czajkowska; Marta Biesok; Jan Maria Juszczyk; Agata M. Wijata; Bartlomiej Pycinski; Michal Krecichwost; Ewa Pietka (ITIB, 2019)

Evaluation of Methods for Volume Estimation of Chronic Wounds. - Jan Maria Juszczyk; Agata M. Wijata; Joanna Czajkowska; Marta Biesok; Bartlomiej Pycinski; Ewa Pietka (ITIB, 2019)

Supporting diagnostics and therapy planning for percutaneous ablation of liver and abdominal tumors and pre-clinical evaluation. - 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; et al. (Comput. Medical Imaging Graph., 2019)

Computer Aided Diagnosis of Atopic Dermatitis. - Joanna Czajkowska; Szymon Korzekwa; Ewa Pietka (Comput. Medical Imaging Graph., 2020)

Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction. - Jan Maria Juszczyk; Agata Wijata; Joanna Czajkowska; Michal Krecichwost; Marcin Rudzki; Marta Biesok; Bartlomiej Pycinski; Jakub Majewski; Jacek Kostecki; Ewa Pietka (IEEE Access, 2021)

Chronic wounds multimodal image database. - Michal Krecichwost; Joanna Czajkowska; Agata Wijata; Jan Maria Juszczyk; Bartlomiej Pycinski; Marta Biesok; Marcin Rudzki; Jakub Majewski; Jacek Kostecki; Ewa Pietka (Comput. Medical Imaging Graph., 2021)

Automated size-specific dose estimates using deep learning image processing. - Jan Maria Juszczyk; Pawel Badura; Joanna Czajkowska; Agata Wijata; Jacek Andrzejewski; Pawel Bozek; Michal Smolinski; Marta Biesok; Agata Sage; Marcin Rudzki; Wojciech Wieclawek (Medical Image Anal., 2021)

Deep Learning-Based High-Frequency Ultrasound Skin Image Classification with Multicriteria Model Evaluation. - Joanna Czajkowska; Pawel Badura; Szymon Korzekwa; Anna Platkowska-Szczerek; Monika Slowinska (Sensors, 2021)

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. - Dzesika Szymanska; Joanna Czajkowska; Szymon Korzekwa; Anna Platkowska-Szczerek (ITIB, 2022)

Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness. - Joanna Czajkowska; Pawel Badura; Szymon Korzekwa; Anna Platkowska-Szczerek (Comput. Medical Imaging Graph., 2022)

Computer-Aided Diagnosis Methods for High-Frequency Ultrasound Data Analysis: A Review. - Joanna Czajkowska; Martyna Borak (Sensors, 2022)

High-Frequency Ultrasound Dataset for Deep Learning-Based Image Quality Assessment. - Joanna Czajkowska; Jan Maria Juszczyk; Laura Piejko; Malgorzata Glenc-Ambrozy (Sensors, 2022)

Mobile Application for Learning Polish Sign Language. - Anna Slian; Joanna Czajkowska; Monika Bugdol (PCBBE, 2023)

Segmentation of skin layers on HFUS images using the attention mechanism. - Anna Slian; Katarzyna Korecka; Adriana Polanska; Joanna Czajkowska (Comput. Methods Programs Biomed., 2025)