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Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke., , , , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 231-243. (2016)AI-human interactive pipeline with feedback to accelerate medical image annotation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF)., , , , and . ISBI, page 1777-1780. IEEE, (2021)Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Learning from Nested Data with Ornstein Auto-Encoders., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1943-1952. PMLR, (2021)Ornstein Auto-Encoders., and . IJCAI, page 2172-2178. ijcai.org, (2019)Individual Sub-Band Estimation Approach to Bandwidth Extension and Enhancement of Coded Speech., , , and . ICASSP, page 1-5. IEEE, (2023)Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment., , , , , , , and . NeSy, volume 3432 of CEUR Workshop Proceedings, page 195-203. CEUR-WS.org, (2023)