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Titlebook: Willem Einthoven (1860–1927) Father of electrocardiography; Life and work, ances H. A. Snellen Book 1995 Springer Science+Business Media Do

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21#
發(fā)表于 2025-3-25 05:48:16 | 只看該作者
22#
發(fā)表于 2025-3-25 11:18:07 | 只看該作者
State of the art in ICUS quantitationd for semi-automatic 3D image quantification for volumetric study of series of echo slices has been developed. The semi-automatic contour detection method was tested in-vitro in tubular phantoms of known dimensions. Intra- and interobserver variability was evaluated in-vivo for area and volume measu
23#
發(fā)表于 2025-3-25 14:35:48 | 只看該作者
Evolution of Translation in Mitochondria,deep transformations, including massive gene transfer to the host nucleus and gene losses and rearrangements. Upon eukaryotic origin, the gene content, size and shape of mitochondrial genomes evolved differently throughout eukaryote’s radiation into many lineages. As a consequence of this phenomenon
24#
發(fā)表于 2025-3-25 18:07:40 | 只看該作者
25#
發(fā)表于 2025-3-25 20:01:55 | 只看該作者
Blind MRI Brain Lesion Inpainting Using Deep Learning,ple, performance of classic medical image processing operations such as non-linear registration or segmentation rapidly decreases when dealing with lesions. To minimize their impact, some authors have proposed to inpaint these lesions so classic pipelines can be used. However, this requires to manua
26#
發(fā)表于 2025-3-26 01:10:16 | 只看該作者
27#
發(fā)表于 2025-3-26 06:32:41 | 只看該作者
28#
發(fā)表于 2025-3-26 11:51:41 | 只看該作者
Equations of Fluid Motioninally, the idea of similitude and non-dimensional transport equations is presented, where the transport equations are non-dimensionalized for characterizing their general behaviour. The concept of similarity for two systems involves geometric, kinematic, and/or dynamic similarities between them.
29#
發(fā)表于 2025-3-26 14:39:56 | 只看該作者
Leveraging Generative AI Concepts with Uncertainty of Information Conceptr, UoI considers the challenge of both capturing and communicating uncertainty associated with data. Given that generative AI, like other techniques, requires significant data, tying together these two concepts may uncover new capabilities. This paper will explore how these concepts can be leveraged, possible benefits, and challenges.
30#
發(fā)表于 2025-3-26 19:48:19 | 只看該作者
graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context..978-90-481-6982-5978-1-4020-3858-7Series ISSN 1381-6446
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