Analysis of the ISIC image datasets: Usage, benchmarks and recommendations B Cassidy, C Kendrick, A Brodzicki, J Jaworek-Korjakowska, MH Yap Medical image analysis 75, 102305, 2022 | 202 | 2022 |
Melanoma thickness prediction based on convolutional neural network with VGG-19 model transfer learning J Jaworek-Korjakowska, P Kleczek, M Gorgon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 109 | 2019 |
Automatic classification of specific melanocytic lesions using artificial intelligence J Jaworek-Korjakowska, P Kłeczek BioMed research international 2016 (1), 8934242, 2016 | 69 | 2016 |
Computer‐aided diagnosis of micro‐malignant melanoma lesions applying support vector machines J Jaworek-Korjakowska BioMed research international 2016 (1), 4381972, 2016 | 65 | 2016 |
The whale optimization algorithm approach for deep neural networks A Brodzicki, M Piekarski, J Jaworek-Korjakowska Sensors 21 (23), 8003, 2021 | 61 | 2021 |
A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images P Kleczek, J Jaworek-Korjakowska, M Gorgon Computerized Medical Imaging and Graphics 79, 101686, 2020 | 50 | 2020 |
Transfer learning methods as a new approach in computer vision tasks with small datasets A Brodzicki, M Piekarski, D Kucharski, J Jaworek-Korjakowska, M Gorgon Foundations of Computing and Decision Sciences 45 (3), 179-193, 2020 | 47 | 2020 |
Determination of border irregularity in dermoscopic color images of pigmented skin lesions. J Jaworek-Korjakowska, R Tadeusiewicz Conference proceedings:... Annual International Conference of the IEEE …, 2014 | 45 | 2014 |
Semi-supervised nests of melanocytes segmentation method using convolutional autoencoders D Kucharski, P Kleczek, J Jaworek-Korjakowska, G Dyduch, M Gorgon Sensors 20 (6), 1546, 2020 | 42 | 2020 |
Novel method for border irregularity assessment in dermoscopic color images J Jaworek-Korjakowska Computational and mathematical methods in medicine 2015 (1), 496202, 2015 | 38 | 2015 |
Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation S Jain, R Atale, A Gupta, U Mishra, A Seal, A Ojha, ... IEEE Transactions on Medical Imaging 42 (12), 3987-4000, 2023 | 35 | 2023 |
Eskin: study on the smartphone application for early detection of malignant melanoma J Jaworek-Korjakowska, P Kleczek Wireless Communications and Mobile Computing 2018 (1), 5767360, 2018 | 33 | 2018 |
Single image dehazing via fusion of multilevel attention network for vision-based measurement applications G Sahu, A Seal, J Jaworek-Korjakowska, O Krejcar IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2023 | 30 | 2023 |
Convolutional neural network architecture for beam instabilities identification in Synchrotron Radiation Systems as an anomaly detection problem M Piekarski, J Jaworek-Korjakowska, AI Wawrzyniak, M Gorgon Measurement 165, 108116, 2020 | 27 | 2020 |
Pre-trained deep convolutional neural network for clostridioides difficile bacteria cytotoxicity classification based on fluorescence images A Brodzicki, J Jaworek-Korjakowska, P Kleczek, M Garland, M Bogyo Sensors 20 (23), 6713, 2020 | 27 | 2020 |
Hair removal from dermoscopic color images J Jaworek-Korjakowska, R Tadeusiewicz Bio-Algorithms and Med-Systems 9 (2), 53-58, 2013 | 26 | 2013 |
Automatic detection of melanomas: an application based on the ABCD criteria J Jaworek-Korjakowska Information Technologies in Biomedicine: Third International Conference …, 2012 | 26 | 2012 |
Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin P Kłeczek, G Dyduch, J Jaworek-Korjakowska, R Tadeusiewicz Medical Imaging 2017: Digital Pathology 10140, 140-158, 2017 | 25 | 2017 |
Facial Expression Recognition in-the-wild using Blended Feature Attention Network M Karnati, A Seal, J Jaworek-Korjakowska, O Krejcar IEEE Transactions on Instrumentation and Measurement, 2023 | 24 | 2023 |
A deep learning approach to vascular structure segmentation in dermoscopy colour images J Jaworek-Korjakowska BioMed research international 2018 (1), 5049390, 2018 | 23 | 2018 |