Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography I Zyout, J Czajkowska, M Grzegorzek Computerized Medical Imaging and Graphics 46, 95-107, 2015 | 56 | 2015 |
Role of radiologists in CAD life-cycle E Piętka, J Kawa, D Spinczyk, P Badura, W Więcławek, J Czajkowska, ... European journal of radiology 78 (2), 225-233, 2011 | 24 | 2011 |
Automated size-specific dose estimates using deep learning image processing J Juszczyk, P Badura, J Czajkowska, A Wijata, J Andrzejewski, P Bozek, ... Medical Image Analysis 68, 101898, 2021 | 22 | 2021 |
Time-of-flight camera, optical tracker and computed tomography in pairwise data registration B Pycinski, J Czajkowska, P Badura, J Juszczyk, E Pietka Plos one 11 (7), e0159493, 2016 | 22 | 2016 |
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness J Czajkowska, P Badura, S Korzekwa, A Płatkowska-Szczerek Computerized Medical Imaging and Graphics 95, 102023, 2022 | 19 | 2022 |
Deep learning approach to skin layers segmentation in inflammatory dermatoses J Czajkowska, P Badura, S Korzekwa, A Płatkowska-Szczerek Ultrasonics 114, 106412, 2021 | 18 | 2021 |
Chronic wounds multimodal image database M Kręcichwost, J Czajkowska, A Wijata, J Juszczyk, B Pyciński, M Biesok, ... Computerized Medical Imaging and Graphics 88, 101844, 2021 | 16 | 2021 |
A multi-stage approach for automatic classification of environmental microorganisms C Li, K Shirahama, J Czajkowska, M Grzegorzek, F Ma, B Zhou Proceedings of the international conference on image processing, computer …, 2013 | 15 | 2013 |
4d segmentation of ewing’s sarcoma in MR images J Czajkowska, P Badura, E Pietka Information Technologies in Biomedicine: Volume 2, 91-100, 2010 | 15 | 2010 |
High-frequency ultrasound dataset for deep learning-based image quality assessment J Czajkowska, J Juszczyk, L Piejko, M Glenc-Ambroży Sensors 22 (4), 1478, 2022 | 14 | 2022 |
Fuzzy Connectedness in Segmentation of Medical Images P Badura, J Kawa, J Czajkowska, M Rudzki, E Piętka International Conference on Fuzzy Computation Theory and Applications, 2011 | 14 | 2011 |
Computer aided diagnosis of atopic dermatitis J Czajkowska, S Korzekwa, E Pietka Computerized Medical Imaging and Graphics 79, 101676, 2020 | 13 | 2020 |
Skeleton graph matching vs. maximum weight cliques aorta registration techniques J Czajkowska, C Feinen, M Grzegorzek, M Raspe, R Wickenhöfer Computerized Medical Imaging and Graphics 46, 142-152, 2015 | 13 | 2015 |
Wound 3D geometrical feature estimation using Poisson reconstruction JM Juszczyk, A Wijata, J Czajkowska, M Krecichwost, M Rudzki, M Biesok, ... IEEE Access 9, 7894-7907, 2020 | 12 | 2020 |
Biopsy needle tracking technique in US images J Czajkowska, B Pyciński, J Juszczyk, E Pietka Computerized Medical Imaging and Graphics 65, 93-101, 2018 | 12 | 2018 |
HoG feature based detection of tissue deformations in ultrasound data J Czajkowska, B Pycinski, E Pietka 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 12 | 2015 |
Deep learning-based high-frequency ultrasound skin image classification with multicriteria model evaluation J Czajkowska, P Badura, S Korzekwa, A Płatkowska-Szczerek, ... Sensors 21 (17), 5846, 2021 | 10 | 2021 |
Breast cancer segmentation method in ultrasound images M Galińska, W Ogiegło, A Wijata, J Juszczyk, J Czajkowska Innovations in Biomedical Engineering, 23-31, 2018 | 9 | 2018 |
A novel model-based approach to left ventricle segmentation M Bugdol, J Czajkowska, E Piętka 2012 Computing in Cardiology, 561-564, 2012 | 9 | 2012 |
A new fuzzy support vectors machine for biomedical data classification J Czajkowska, M Rudzki, Z Czajkowski 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 9 | 2008 |