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Publications

Full lists of publications (in BPP AGH database):

MVG Group IF: 25.7

2020

  • 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) = ???]
  • (In Press) 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]

2019

  • 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)

2018

  • 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]

2017

  • 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)

2016

  • 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]

2015

  • 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)

2014

2013

  • 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)

2011

  • 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)
research_group/publications.txt · Last modified: 2020/12/04 11:40 by pkleczek