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--- research_group:publications [2020/10/22 15:11]
pkleczek [2020]
+++ research_group:publications [2023/12/27 22:09] (current)
macal
@@ Line 8: / Line 8: @@
   * [[https://bpp.agh.edu.pl/autor/piekarski-michal-43242|Michał Piekarski]]
-MVG Group IF: 25.7\\
+MVG Group IF: 25.7\\ FIXME zaktualizować
+===== 2023 =====
+  * **Aleksandrowicz M.** and **Jaworek-Korjakowska J.**: //Metrics for Assessing Generalization of Deep Reinforcement Learning in Parameterized Environments//, Journal of Artificial Intelligence and Soft Computing Research, 2023, **IF 2,8, 140 pkt**, [[https://doi.org/10.2478/jaiscr-2024-0003|10.2478/jaiscr-2024-0003]], [[https://github.com/macmacal/drl_generalization_metrics| GitHub repo]].
+===== 2022 =====
+  * 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 pkt**
+  * **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
+===== 2021 =====
+  * **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
 ===== 2020 =====
-  * (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]] \\ [size=80%][IF5 (2018) = 3.364, Top10][/size]
+  * **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, [[https://doi.org/10.3390/s20236713|10.3390/s20236713]] ([[https://www.mdpi.com/1424-8220/20/23/6713|HTML]]) \\ [size=80%][IF5 (2018) = ???][/size]
+  * **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]] \\ [size=80%][IF5 (2018) = 3.364, Top10][/size]
   * **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: [[https://doi.org/10.3390/s20061546|10.3390/s20061546]]  ([[https://www.mdpi.com/1424-8220/20/6/1546/htm|HTML]])  \\ [size=80%][IF (2019): 3.275; IF5 (2018) = 2.737, Top10][/size]
-  * **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]
+  * **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]] \\ [size=80%][Honorable Mention Award; 200 pkt MNiSW][/size]

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