Conferences

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, Gdynia, 2022

Piekarski M.: Deep Neural Network for Beam Profile Classification in Synchrotron, International Beam Instrumentation Conference, Kraków, 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), Singapore, 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), Tel-Aviv, 2022

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 3rd Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD)
J. Jaworek-Korjakowska, A. Kostuch: SafeSO: Interpretable and Explainable Deep Learning Approach for Seat Occupancy Classification in Vehicle Interior¹⁾

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 - Sixth ISIC Skin Image Analysis Workshop - J. Jaworek-Korjakowska - program committee and serving as a reviewer

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 – A* conference on CORE list
Honorable Mention Award Jaworek-Korjakowska J., Kłeczek P.: Melanoma Thickness Prediction Based on Convolutional Neural Network With VGG-19 Model Transfer Learning²⁾

Tango Meeting 2019
Michał Piekarski: Deep Neural Network for Anomaly Detection in Multivariate Signals

PP-RAI'2019: Polskie Porozumienie na rzecz Rozwoju Sztucznej Inteligencji
Jaworek-Korjakowska J., Brodzicki A., Kucharski D., Piekarski M.: Break the curse of small datasets in computer vision tasks with transfer learning methods³⁾

SPIE Medical Imaging 2018 (Houston, TX, USA)
Paweł Kłeczek: Segmentation of black ink and melanin in skin histopathological images⁴⁾

ICAISC 2017 : International Conference on Artificial Intelligence and Soft Computing (Zakopane, Poland)
Joanna Jaworek-Korjakowska, Paweł Kłeczek (poster): Classification of Physiological Data for Emotion Recognition⁵⁾
Joanna Jaworek-Korjakowska, Paweł Kłeczek (poster): Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature⁶⁾

20-th Polish Conference on Biocybernetics and Biomedical Engineering (Kraków, Poland)
Paweł Kłeczek (poster): The accuracy of H&E stain unmixing techniques when estimating relative stain concentrations⁷⁾

SPIE Medical Imaging 2017 (Orlando, FL, USA)
Paweł Kłeczek (poster): Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin⁸⁾

11th International Conference on Cellular Automata for Research and Industry -- ACRI 2014 (Kraków, Poland)
Paweł Kłeczek: Simulation of Pedestrians Behavior in a Shopping Mall⁹⁾

IEEE International Conference on Image Processing (ICIP 2013) – CORE B
J. Jaworek-Korjakowska: Assessment of dots and globules in dermoscopic color images as one of the 7-point check list criteria ¹⁰⁾