• digital image analysis (focus on: microscopic images)
• machine learning
• computer aided histopathology
  • histopatology of skin (Polish only)

• Skin diagnosis by analyzing the epidermal region (PhD thesis)

List of publications in BPP AGH database

• Pawel Kleczek, Joanna Jaworek-Korjakowska, Marek Gorgon. A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images. Computerized Medical Imaging and Graphics, 2020, vol. 79, 2022, Art. ID 101686, doi: 10.1016/j.compmedimag.2019.101686 (HTML)
• Pawel Kleczek, Grzegorz Dyduch, Agnieszka Graczyk-Jarzynka, Joanna Jaworek-Korjakowska. A New Approach to Border Irregularity Assessment with Application in Skin Pathology. Applied Sciences 2019, 9(10), 2022, doi: https://doi.org/10.3390/app9102022 (Abstract, Full HTML, Full PDF)

• Paweł Kłeczek, Martyna Lech, Grzegorz Dyduch, Joanna Jaworek-Korjakowska, Ryszard Tadeusiewicz. Segmentation of black ink and melanin in skin histopathological images. Proc. SPIE 10581, Medical Imaging 2018: Digital Pathology, 105811A (2018); doi: 10.1117/12.2292859. (Abstract)
• Jaworek-Korjakowska J., Kleczek P. eSkin: Study on the Smartphone Application for Early Detection of Malignant Melanoma. Wireless Communications and Mobile Computing, vol. 2018, Article ID 5767360, pp. 1–11, (2018). doi:10.1155/2018/5767360. (Full HTML, Full PDF)
• Joanna Jaworek-Korjakowska, Pawel Kleczek. Region Adjacency Graph Approach for Acral Melanocytic Lesion Segmentation. Applied Sciences 2018, 8(9), 1430, doi: https://doi.org/10.3390/app8091430 (Abstract, Full HTML, Full PDF)

• Paweł Kłeczek, Grzegorz Dyduch, Joanna Jaworek-Korjakowska, Ryszard Tadeusiewicz. Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin. Proc. SPIE 10140, Medical Imaging 2017: Digital Pathology, 101400M (2017). doi:10.1117/12.2249018. (Abstract, Poster PDF)
• Philip Gouverneur, Joanna Jaworek-Korjakowska, Lukas Köping, Kimiaki Shirahama, Paweł Kłeczek, Marcin Grzegorzek. Classification of Physiological Data for Emotion Recognition. ICAISC 2017: Artificial Intelligence and Soft Computing (2017), doi: 10.1007/978-3-319-59063-9_55, pp. 619–627 (Abstract)
• Joanna Jaworek-Korjakowska, Paweł Kłeczek, Marcin Grzegorzek, Kimiaki Shirahama. Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature. ICAISC 2017: Artificial Intelligence and Soft Computing (2017), doi: 10.1007/978-3-319-59063-9_55, pp. 649–657 (Abstract)
• Paweł Kłeczek, Sylwia Mól, Joanna Jaworek-Korjakowska. The Accuracy of H&E Stain Unmixing Techniques When Estimating Relative Stain Concentrations. PCBBE 2017: Advances in Intelligent Systems and Computing, Springer (2017), doi: 10.1007/978-3-319-66905-2_7, pp. 87–97 (Abstract)
• Joanna Jaworek-Korjakowska, Paweł Kłeczek, Ryszard Tadeusiewicz. Detection and classification of pigment network in dermoscopic color images as one of the 7-point checklist criteria. PCBBE 2017: Advances in Intelligent Systems and Computing, Springer (2017). pp. 174–181 (Abstract)

• Jaworek-Korjakowska J, Kłeczek P. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence. BioMed Research International. Volume 2016, Article ID 8934242, 17 pages. doi: http://dx.doi.org/10.1155/2016/8934242 (Full HTML, Full PDF)

• Kłeczek, Paweł; Wąs, Jarosław. Simulation of Pedestrians Behavior in a Shopping Mall. Lecture Notes in Computer Science. Vol. 8751. pp. 650-659. 2014. (Abstract & preview)

• IX edycja konkursu Polskiego Towarzystwa Inżynierii Biomedycznej na najlepszą pracę magisterską z dziedziny inżynierii biomedycznej obronioną w roku 2015
  — wyróżnienie (wyniki)

• 46. edycja “Konkursu na najlepszą pracę dyplomową I i II stopnia uczelni Krakowa w dziedzinie transportu” za rok 2014
  — I miejsce (wyniki)