Zobrazeno 1 - 10
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pro vyhledávání: '"Radwan, Ahmed"'
Autor:
Radwan, Ahmed, Shehata, Mohamed S.
Federated Domain Generalization (FedDG), aims to tackle the challenge of generalizing to unseen domains at test time while catering to the data privacy constraints that prevent centralized data storage from different domains originating at various cl
Externí odkaz:
http://arxiv.org/abs/2407.14792
Achieving domain generalization in medical imaging poses a significant challenge, primarily due to the limited availability of publicly labeled datasets in this domain. This limitation arises from concerns related to data privacy and the necessity fo
Externí odkaz:
http://arxiv.org/abs/2407.14719
Generative artificial intelligence (GenAI) has ushered in a new era for storytellers, providing a powerful tool to ignite creativity and explore uncharted narrative territories. As technology continues to advance, the synergy between human creativity
Externí odkaz:
http://arxiv.org/abs/2403.01575
Aerial robots play a vital role in various applications where the situational awareness of the robots concerning the environment is a fundamental demand. As one such use case, drones in GPS-denied environments require equipping with different sensors
Externí odkaz:
http://arxiv.org/abs/2402.07537
Addressing biases in AI models is crucial for ensuring fair and accurate predictions. However, obtaining large, unbiased datasets for training can be challenging. This paper proposes a comprehensive approach using multiple methods to remove bias in A
Externí odkaz:
http://arxiv.org/abs/2402.00910
Autor:
Rahimpour, Masoomeh, Radwan, Ahmed, Vandermeulen, Henri, Sunaert, Stefan, Goffin, Karolien, Koole, Michel
Brain tumor imaging has been part of the clinical routine for many years to perform non-invasive detection and grading of tumors. Tumor segmentation is a crucial step for managing primary brain tumors because it allows a volumetric analysis to have a
Externí odkaz:
http://arxiv.org/abs/2212.01235