Výsledky vyhledávání - "Amal Rannen-Triki"

Autor: Vladimir Kolmogorov, Amal Rannen-Triki, Maxim Berman, Matthew B. Blaschko

Publikováno v: ICCV Workshops

Deep neural networks (DNNs) have become increasingly important due to their excellent empirical performance on a wide range of problems. However, regularization is generally achieved by indirect means, largely due to the complex set of functions defi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73975e6d828456c43031ba1835ddb1da
https://doi.org/10.1109/iccvw.2019.00097

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A Bayesian Optimization Framework for Neural Network Compression

Autor: Jacques Cali, Maxim Berman, Xingchen Ma, Christos Sagonas, Amal Rannen Triki, Matthew B. Blaschko

Publikováno v: ICCV

Neural network compression is an important step for deploying neural networks where speed is of high importance, or on devices with limited memory. It is necessary to tune compression parameters in order to achieve the desired trade-off between size

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b4f34f4f4af18db8ed58291d5ed822d
https://doi.org/10.1109/iccv.2019.01037

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The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Autor: Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko

Publikováno v: CVPR

The Jaccard index, also referred to as the intersection-over-union score, is commonly employed in the evaluation of image segmentation results given its perceptual qualities, scale invariance - which lends appropriate relevance to small objects, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f56b06967e3392a9f726603244ae210
https://lirias.kuleuven.be/handle/123456789/621350

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Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks

Autor: Amal Rannen Triki, Chulmin Joo, Hyun Ju Han, Seung Il Kim, Seungri Song, Yoon Mo Jung, Matthew B. Blaschko

Publikováno v: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 69

Assessing the surgical margin during breast lumpectomy operations can avoid the need for additional surgery. Optical coherence tomography (OCT) is an imaging technique that has been proven to be efficient for this purpose. However, to avoid overloadi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::053eaa6bf5b3c39cde35b567c65ff661
https://pubmed.ncbi.nlm.nih.gov/30172090

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