Zobrazeno 1 - 10
of 19 096
pro vyhledávání: '"Soyer"'
Autor:
Tribolet Anaïs, Barat Maxime, Fuks David, Aissaoui Mathilde, Soyer Philippe, Marchese Ugo, Gaillard Martin, Nassar Alexandra, Hardwigsen Jean, Tzedakis Stylianos
Publikováno v:
Radiology and Oncology, Vol 58, Iss 3, Pp 376-385 (2024)
Other than location of the primary colorectal cancer (CRC), a few factors are known to influence the intrahepatic distribution of colorectal cancer liver metastases (CRLM). We aimed to assess whether the anatomy of the portal vein (PV) could influenc
Externí odkaz:
https://doaj.org/article/b6c5f0bb453446928b56b1a290f75070
Autor:
Clairet, Colin, Lapalu, Nicolas, Simon, Adeline, Soyer, Jessica L., Viaud, Muriel, Zehraoui, Enric, Dalmais, Berengère, Fudal, Isabelle, Ponts, Nadia
Publikováno v:
Peer Community Journal, Vol 3, Iss , Pp - (2023)
Fungal pathogens represent a serious threat towards agriculture, health, and environment. Control of fungal diseases on crops necessitates a global understanding of fungal pathogenicity determinants and their expression during infection. Genomes of p
Externí odkaz:
https://doaj.org/article/0f8a08aa675b42a19462eb5d659ed8ec
Autor:
Manquat Elsa, Le Dorze Matthieu, Pean De Ponfilly Gauthier, Benmansour Hanaa, Amarsy Rishma, Cambau Emmanuelle, Soyer Benjamin, Chousterman Benjamin Glenn, Jacquier Hervé
Publikováno v:
Annals of Intensive Care, Vol 10, Iss 1, Pp 1-10 (2020)
Abstract Background Empirical antimicrobial therapy (EAT) is a challenge for community-acquired, hospital-acquired and ventilator-associated pneumonia, particularly in the context of the increasing occurrence of third-generation cephalosporin-resista
Externí odkaz:
https://doaj.org/article/ff56ffa9cce541f4b6aa113225608710
Publikováno v:
Psihologija, Vol 53, Iss 3, Pp 291-305 (2020)
This study aimed to examine whether there is a mediating role of emotion regulation difficulties in the relationship between social anxiety and problematic Internet use (PIU). The sample consisted of 297 participants (147 [49%] males; aged from 18 to
Externí odkaz:
https://doaj.org/article/8c5b7c3ff536431fa86318c4270ff6e8
Autor:
SIMA Team, Raad, Maria Abi, Ahuja, Arun, Barros, Catarina, Besse, Frederic, Bolt, Andrew, Bolton, Adrian, Brownfield, Bethanie, Buttimore, Gavin, Cant, Max, Chakera, Sarah, Chan, Stephanie C. Y., Clune, Jeff, Collister, Adrian, Copeman, Vikki, Cullum, Alex, Dasgupta, Ishita, de Cesare, Dario, Di Trapani, Julia, Donchev, Yani, Dunleavy, Emma, Engelcke, Martin, Faulkner, Ryan, Garcia, Frankie, Gbadamosi, Charles, Gong, Zhitao, Gonzales, Lucy, Gupta, Kshitij, Gregor, Karol, Hallingstad, Arne Olav, Harley, Tim, Haves, Sam, Hill, Felix, Hirst, Ed, Hudson, Drew A., Hudson, Jony, Hughes-Fitt, Steph, Rezende, Danilo J., Jasarevic, Mimi, Kampis, Laura, Ke, Rosemary, Keck, Thomas, Kim, Junkyung, Knagg, Oscar, Kopparapu, Kavya, Lawton, Rory, Lampinen, Andrew, Legg, Shane, Lerchner, Alexander, Limont, Marjorie, Liu, Yulan, Loks-Thompson, Maria, Marino, Joseph, Cussons, Kathryn Martin, Matthey, Loic, Mcloughlin, Siobhan, Mendolicchio, Piermaria, Merzic, Hamza, Mitenkova, Anna, Moufarek, Alexandre, Oliveira, Valeria, Oliveira, Yanko, Openshaw, Hannah, Pan, Renke, Pappu, Aneesh, Platonov, Alex, Purkiss, Ollie, Reichert, David, Reid, John, Richemond, Pierre Harvey, Roberts, Tyson, Ruscoe, Giles, Elias, Jaume Sanchez, Sandars, Tasha, Sawyer, Daniel P., Scholtes, Tim, Simmons, Guy, Slater, Daniel, Soyer, Hubert, Strathmann, Heiko, Stys, Peter, Tam, Allison C., Teplyashin, Denis, Terzi, Tayfun, Vercelli, Davide, Vujatovic, Bojan, Wainwright, Marcus, Wang, Jane X., Wang, Zhengdong, Wierstra, Daan, Williams, Duncan, Wong, Nathaniel, York, Sarah, Young, Nick
Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order t
Externí odkaz:
http://arxiv.org/abs/2404.10179
Autor:
Yan, Siyuan, Liu, Chi, Yu, Zhen, Ju, Lie, Mahapatra, Dwarikanath, Betz-Stablein, Brigid, Mar, Victoria, Janda, Monika, Soyer, Peter, Ge, Zongyuan
Deep learning models for medical image analysis easily suffer from distribution shifts caused by dataset artifacts bias, camera variations, differences in the imaging station, etc., leading to unreliable diagnoses in real-world clinical settings. Dom
Externí odkaz:
http://arxiv.org/abs/2401.03002
Autor:
Mehta, Deval, Betz-Stablein, Brigid, Nguyen, Toan D, Gal, Yaniv, Bowling, Adrian, Haskett, Martin, Sashindranath, Maithili, Bonnington, Paul, Mar, Victoria, Soyer, H Peter, Ge, Zongyuan
The surge in developing deep learning models for diagnosing skin lesions through image analysis is notable, yet their clinical black faces challenges. Current dermatology AI models have limitations: limited number of possible diagnostic outputs, lack
Externí odkaz:
http://arxiv.org/abs/2311.01009