Titlebook: Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for; 10th Workshop, CLIP Cristina Oyarzun

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On the Fairness of Swarm Learning in Skin Lesion Classification. The bias induced by data itself, such as collecting data in subgroups only, can be mitigated by including more diversified data. Distributed and collaborative learning is an approach to involve training models in massive, heterogeneous, and distributed data sources, also known as nodes. In this wo

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Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Cophy (CT) and ultrasound (US) of the thorax, playing an important role in the diagnosis and management of patients with coronavirus infection. The AI community reacted rapidly to the threat of the coronavirus pandemic by contributing numerous initiatives of developing AI technologies for interpreting

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The Role of Pleura and Adipose in Lung Ultrasound AI when using high-frequency linear (HFL) instead of curvilinear ultrasound probes, showing HFL reveals better pleura detail. We compare the diagnostic utility of the pleura and adipose tissue using an HFL ultrasound probe. Masking the adipose tissue during training and inference (while retaining the

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DuCN: Dual-Children Network for Medical Diagnosis and Similar Case Recommendation Towards COVID-19ead of the disease. In this study, we propose a novel deep learning based detection and similar case recommendation network to help control the epidemic. Our proposed network contains two stages: the first one is a lung region segmentation step and is used to exclude irrelevant factors, and the seco

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CHOIR

https://doi.org/10.1007/978-981-16-4023-0 is the most important one for emotion recognition due to its high temporal resolution. The progress in geometric deep learning provide powerful tool to explore the spatial features between EEG channels. There have been some studies using Graph-based methods, but neither do they reveal the latent st

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The Scandinavian Countries and Finland,ps into three parts with ., . and . convolutions in both encoder and decoder. Concat operator is used to merge the features before being fed to three consecutive transformer blocks with attention mechanism embedded inside it. Skip connections are used to connect encoder and decoder transformer block

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