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Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI., , , , и . CoRR, (2017)Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation., , , и . CoRR, (2022)Thermal Infrared Video Stabilization for Aerial Monitoring of Active Wildfires., , , , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images., , , , , , и . J. Imaging, 9 (7): 145 (2023)Comparing ML based Segmentation Models on Jet Fire Radiation Zone., , , , , и . CoRR, (2021)Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones., , , , , и . MICAI (1), том 13067 из Lecture Notes in Computer Science, стр. 161-172. Springer, (2021)Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores., , , , и . CaPTion@MICCAI, том 14295 из Lecture Notes in Computer Science, стр. 83-93. Springer, (2023)Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods., , , , , , и . CoRR, (2022)FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation., , , , и . MICAI (2), том 14392 из Lecture Notes in Computer Science, стр. 165-176. Springer, (2023)Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures., , , , и . MICAI (1), том 13612 из Lecture Notes in Computer Science, стр. 282-296. Springer, (2022)