Full lists of publications (in BPP AGH database):

• Joanna Jaworek-Korjakowska
• Paweł Kłeczek
• Andrzej Brodzicki
• Dariusz Kucharski
• Michał Piekarski

MVG Group IF: 25.7

• Cassidy B., Kendrick C., Brodzicki A., Jaworek-Korjakowska J., Hoon Yap M.: Analysis of the ISIC image datasets: usage, benchmarks and recommendations, Medical Image Analysis, 2022, IF 8.545, 200 pkt

• Wójcicka A., Walusiak Ł., Mroczka K., Jaworek-Korjakowska J., Oprzędkiewicz K., Wróbel Z.: The object segmentation from the microstructure of a FSW dissimilar weld, Materials, 2022, IF 3,748, 140

• Brodzicki A., Kucharski D., Piekarski M., Kostuch A., Jaworek-Korjakowska J.: Deep neural network interpretability methods for supervised and unsupervised problems, PP-RAI'2022: proceedings of the 3rd Polish conference on Artificial intelligence, 2022

• Gorgoń M., et al.: Systemy wizyjne w zastosowaniach przemysłowych, Nauka – technika – technologia : seria wydawnicza AGH, 2022

• Piekarski M.: Deep Neural Network for Beam Profile Classification in Synchrotron, International Beam Instrumentation Conference, 2022

• Kucharski D., Kostuch A., Brodzicki A., Noworolnik F., Jaworek-Korjakowska J.: DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection, Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022

• Jaworek-Korjakowska, J., Wójcicka A., Kucharski D., Brodzicki A., Kendrick C., Cassidy B., Hoon Yap M.: Skin_Hair dataset: Setting the benchmark for effective hair inpainting methods for improving the image quality of dermoscopic images, Proceedings of the 2022 European Conference on Computer Vision (ECCV), 2022

• Jaworek-Korjakowska J., Kostuch A., Skruch P.: SafeSO: interpretable and explainable deep learning approach for seat occupancy classification in vehicle interior, 2021 IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops, 2021

• Brodzicki A., Piekarski M., Jaworek-Korjakowska J.: The whale optimization algorithm approach for deep neural networks, Sensors, 2021, IF 3,847, 100 pkt

• Jaworek-Korjakowska J., Brodzicki A., Cassidy B., Kendrick C., Hoon Yap M.: Interpretability of a deep learning based approach for the classification of skin lesions into main anatomic body sites, Cancers, 2021, IF 6.575, 140 pkt

• Andrzej Brodzicki, Joanna Jaworek-Korjakowska, Paweł Kłeczek, Megan Garland, Matthew Bogyo. Pre-trained deep convolutional neural network for clostridioides difficile bacteria cytotoxicity classification based on fluorescence images, Sensors, 20(23), 2020, 10.3390/s20236713 (HTML)
  [IF5 (2018) = ???]

• Michał Piekarski, Joanna Jaworek-Korjakowska, Adriana I. Wawrzyniak, Marek Gorgon, Convolutional neural network architecture for beam instabilities identification in Synchrotron Radiation Systems as an anomaly detection problem, Measurement, 2020, https://doi.org/10.1016/j.measurement.2020.108116
  [IF5 (2018) = 3.364, Top10]

• Dariusz Kucharski, Pawel Kleczek, Joanna Jaworek-Korjakowska, Grzegorz Dyduch, Marek Gorgon. Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders. Sensors, 2020, vol. 20, issue 6, 1546, doi: 10.3390/s20061546 (HTML)
  [IF (2019): 3.275; IF5 (2018) = 2.737, Top10]

• Joanna Jaworek-Korjakowska, Pawel Kleczek, Marek Gorgon. Melanoma Thickness Prediction Based on Convolutional Neural Network With VGG-19 Model Transfer Learning. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, CA, USA, 2019, pp. 2748–2756, doi: https://doi.org/10.1109/CVPRW.2019.00333
  [Honorable Mention Award; 200 pkt MNiSW]

• 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)
  [IF (2019): 3.750; IF5 (2018) = 2.737, Top10]

• Pawel Kleczek, Grzegorz Dyduch, Agnieszka Graczyk-Jarzynka, Joanna Jaworek-Korjakowska. A New Approach to Border Irregularity Assessment with Application in Skin Pathology. Applied Sciences (Basel), 2019, 9(10), 2022, doi: 10.3390/app9102022 (Abstract, HTML, PDF)
  [IF (2018) = 2.217; IF5 (2018) = 2.287]
• (konferencja) ICALEPCS'19   Michał Piekarski, W.T Kitka, Joanna Jaworek-Korjakowska. Deep Neural Network for Anomaly Detection in Accelerators (PDF, Poster, Web)

• 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)

• Joanna Jaworek-Korjakowska, Pawel Kleczek. 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. (HTML, PDF)
  [IF (2018): 1.396; IF5 (2018) = 1.364]

• Joanna Jaworek-Korjakowska, Pawel Kleczek. Region Adjacency Graph Approach for Acral Melanocytic Lesion Segmentation. Applied Sciences (Basel), 2018, 8(9), 1430, doi: 10.3390/app8091430 (Abstract, HTML, PDF)
  [IF5 (2018) = 2.287]

• Elżbieta Pociask, Krzysztof Piotr Malinowski, Magdalena Ślęzak, Joanna Jaworek-Korjakowska, Wojciech Wojakowski, Tomasz Roleder. Fully automated lumen segmentation method for intracoronary optical coherence tomography. Journal of Healthcare Engineering 2018, art. ID 1414076, pp. 1–13, doi: 10.1155/2018/1414076 (HTML, PDF)
  [IF5 (2018) = 1.261]

• Joanna Jaworek-Korjakowska. A deep learning approach to vascular structure segmentation in dermoscopy colour images. BioMed Research International 2018, art. ID 5049390, pp. 1–8, doi: 10.1155/2018/5049390 (HTML, PDF)
  [IF5 (2018) = 2.583]

• Megan Garland, Joanna Jaworek-Korjakowska, Urszula Libal, Matthew Bogyo, Marcin Sieńczyk. An automatic analysis system for high-throughput Clostridium Difficile toxin activity screening. Applied Sciences (Basel), 2018, 8(9), Art no. 1512, pp. 1–14, doi: 10.3390/app8091512 (HTML, PDF)
  [IF5 (2018) = 2.287]

• 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)

• Joanna Jaworek-Korjakowska, Paweł Kłeczek. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence. BioMed Research International, 2016, Vol. 2016, Article ID 8934242, 17 pages. doi: http://dx.doi.org/10.1155/2016/8934242 (HTML, PDF)
  [IF (2016) = 2.134; IF5 (2016) = 2.587]

• Elżbieta Pociask, Joanna Jaworek-Korjakowska, Krzysztof Piotr Malinowski, Tomasz Roleder, Wojciech Wojakowski. Fully automated lipid pool detection using near infrared spectroscopy. Computational and Mathematical Methods in Medicine, 2016, art. ID 1487859, pp. 1–9, doi: 10.1155/2016/1487859 (HTML, PDF)
  [IF = 1.2]

• Joanna Jaworek-Korjakowska. Computer-aided diagnosis of micro-malignant melanoma lesions applying support vector machines. BioMed Research International, 2016, art. ID 4381972, pp. 1–8, doi: 10.1155/2016/4381972 (HTML, PDF)
  [IF = 2.476]

• Joanna Jaworek-Korjakowska. Novel method for border irregularity assessment in dermoscopic color images. Computational and Mathematical Methods in Medicine, 2015, art. ID 496202, pp. 1–11, doi: 10.1155/2015/496202 (HTML, PDF)
  [IF = 0.887]

• Joanna Jaworek-Korjakowska, Ryszard Tadeusiewicz. Design of a teledermatology system to support the consultation of dermoscopic cases using mobile technologies and cloud platform. Bio-Algorithms and Med-Systems, 2015, 11(1), pp. 53–58, doi: 10.1515/bams-2015-0004 (Abstract)

• Paweł Kłeczek, Jarosław Wąs. Simulation of Pedestrians Behavior in a Shopping Mall. Lecture Notes in Computer Science, 2014, Vol. 8751, pp. 650–659, doi: 10.1007/978-3-319-11520-7_69 (Abstract & preview)

• Joanna Jaworek-Korjakowska, Ryszard Tadeusiewicz. Hair removal from dermoscopic color images. Bio-Algorithms and Med-Systems, 2013, 9(2), pp. 53–58, doi: 10.1515/bams-2013-0013 (Abstract)

• Joanna Jaworek. Wykorzystanie metod przetwarzania obrazów w rozpoznawaniu i diagnostyce czerniaka złośliwego. PAR Pomiary Automatyka Robotyka, 2011, 15(12), pp. 100–101 (Abstract, PDF)

• Tomasz Pięciak, Joanna Jaworek, Marek Gorgoń. Neural networks for medical image processing. Bio-Algorithms and Med-Systems, 2011, 7(4), pp. 101–110 (Abstract)