Leila Lea Boulos on Muck Rack

Leila Lea Boulos

As seen in: PLOS, Radiological Society of North America
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Articles

Deep convolutional and conditional neural networks for large-scale genomic data generation

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By Burak Yelmen, Aurelien Decelle, Leila Lea Boulos
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Yelmen B, Decelle A, Boulos LL, Szatkownik A, Furtlehner C, Charpiat G, et al. (2023) Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Comput Biol 19(10): e1011584.
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Deep convolutional and conditional neural networks for large-scale genomic data generation

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By Burak Yelmen, Aurelien Decelle, Leila Lea Boulos, Antoine Szatkownik
| biorxiv.org
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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Imaging of Atypical Hemangiomas of the Liver with Pathologic Correlation

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By Valérie Vilgrain, Leila Lea Boulos, Marie-Pierre Vullierme, Alban Denys
| Radiological Society of North America
Compared with the imaging features of typical hepatic hemangiomas, the imaging features of atypical hepatic hemangiomas have not been well studied or well described. Knowledge of the entire spectrum of atypical hepatic hemangiomas is important and can help one avoid most diagnostic errors. A frequent type of atypical hepatic hemangioma is a lesion with an echoic border at ultrasonography.
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