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Titlebook: Information Processing in Medical Imaging; 28th International C Alejandro Frangi,Marleen de Bruijne,Nassir Navab Conference proceedings 202

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31#
發(fā)表于 2025-3-26 20:59:32 | 只看該作者
Jiangchuan Du,Yuan Zhou,for the Alzheimer’s Disease Neuroimaging Initiative
32#
發(fā)表于 2025-3-27 03:57:21 | 只看該作者
Noah Maul,Katharina Zinn,Fabian Wagner,Mareike Thies,Maximilian Rohleder,Laura Pfaff,Markus Kowarschon each concept. This work will be of particular significance to academics and students with an interest in media theory, history, policy and regulation, as well as those disposed to understanding as well as critiquing the neoliberalization of public media.?.978-3-319-84317-9978-3-319-50097-3
33#
發(fā)表于 2025-3-27 05:23:19 | 只看該作者
Jiahong Ouyang,Li Chen,Gary Y. Li,Naveen Balaraju,Shubham Patil,Courosh Mehanian,Sourabh Kulhare,Racon each concept. This work will be of particular significance to academics and students with an interest in media theory, history, policy and regulation, as well as those disposed to understanding as well as critiquing the neoliberalization of public media.?.978-3-319-84317-9978-3-319-50097-3
34#
發(fā)表于 2025-3-27 10:47:07 | 只看該作者
35#
發(fā)表于 2025-3-27 14:39:03 | 只看該作者
36#
發(fā)表于 2025-3-27 17:46:37 | 只看該作者
37#
發(fā)表于 2025-3-28 01:46:22 | 只看該作者
Don’t PANIC: Prototypical Additive Neural Network for?Interpretable Classification of?Alzheimer’s Dik. Our results demonstrate that PANIC achieves state-of-the-art performance in AD classification, while directly providing local and global explanations. Finally, we show that PANIC extracts biologically meaningful signatures of AD, and satisfies a set of desirable desiderata for trustworthy machine learning. Our implementation is available at ..
38#
發(fā)表于 2025-3-28 04:12:24 | 只看該作者
39#
發(fā)表于 2025-3-28 06:18:22 | 只看該作者
Weakly Semi-supervised Detection in?Lung Ultrasound Videos the clinically important task of detecting lung consolidations (seen in respiratory infections such as COVID-19 pneumonia) in medical ultrasound videos. Experiments reveal that our framework improves detection accuracy and robustness compared to baseline semi-supervised models, and improves efficiency in data and annotation usage.
40#
發(fā)表于 2025-3-28 13:31:33 | 只看該作者
0302-9743 ok place in San Carlos de Bariloche, Argentina, in June 2023..The 63 full papers presented in this volume were carefully reviewed and selected from 169 submissions. They were organized in topical sections as follows: biomarkers; brain connectomics; computer-aided diagnosis/surgery; domain adaptation
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