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====== Conferences ====== | ====== Conferences ====== | ||
- | ===== 2021 ===== | + | ===== 2022 ===== |
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+ | * **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 | ||
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+ | * **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 | ||
- | * 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Diabetic Foot Ulcer Challenge Workshop | ||
- | * 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, ISIC Workshop | ||
===== 2021 ===== | ===== 2021 ===== |