Results 1 to 10 of about 4,468 (119)
Immobilization for treatment after an injury can lead to disuse atrophy, resulting in reduced functionality and strength of the immobilized limb. In our study, we utilized infrared thermography (IR) and computed tomography (CT) ex vivo to assess both ...
Berenice Martínez-Gutiérrez +3 more
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Efficient and accurate radiology reporting is critical in modern healthcare for timely diagnosis and patient care. In this paper, we present a novel deep learning approach that leverages BioGPT and co-attention mechanisms for automatic chest X-ray report
Mohammed Yasser Ouis, Moulay A. Akhloufi
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Presentation Attack Detection using iris periocular visual spectrum images
In this work, we analyse the comparison between using the periocular area instead of the full face area for Presentation Attack Detection (PAD) in the visual spectrum (RGB). The analysis was carried out by evaluating the performance of five Convolutional
Andrés Valenzuela +3 more
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Motion representations for privacy-aware cross-domain action recognition
Video captured for action recognition often contains sensitive appearance cues such as faces, skin color, and clothing. Models trained on such data may exploit these cues rather than the underlying motion, raising privacy concerns in real-world ...
Pascal Benschop +4 more
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We have developed a novel approach for high-resolution confocal imaging across multiple tissue planes simultaneously. By combining confocal microscopy, piezo actuators, and optogenetic sensors, we can simultaneously capture images of dynamic fluorescence
Salah A. Baker +3 more
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IntroductionHomomorphic encryption (HE) enables privacy-preserving face recognition by allowing encrypted facial embeddings to be compared without decryption.
Amina Bassit +9 more
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BackgroundPresurgical evaluation of the histopathological grade of soft tissue sarcoma (STS) is important for enacting treatment strategies. In this study, we plan to investigate the correlation of high-output ultrasound (US) radiomic features and the ...
Chenyang Zhao +13 more
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Electroanatomic mapping reconstruction with photogrammetry across different mapping systems
BackgroundAutomatic digital photogrammetry produces digital reproductions of objects using photographs. The aim of this study is to analyze feasibility of photogrammetry for electroanatomic map (EAM) reconstruction from different mapping systems ...
Giacomo Talevi +15 more
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Intra-video positive pairs in self-supervised learning for ultrasound
IntroductionSelf-supervised learning (SSL) is a strategy for addressing the paucity of labelled data in medical imaging by learning representations from unlabelled images.
Blake VanBerlo +3 more
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IntroductionMultidrug-resistant Enterobacteriaceae are among the most urgent global public health threats associated with various life-threatening infections.
Kristel C. Tjandra +11 more
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