Results 21 to 30 of about 356,773 (223)
Elastography of the thyroid nodule, cut-off points between benign and malignant lesions for strain, 2D shear wave real time and point shear wave: a correlation with pathology, ACR TIRADS and Alpha Score
Frontiers in Endocrinology, 2023 ObjectiveA prospective cross-sectional investigation of 170 thyroid nodules (TN) between January 2020 and December 2021 at Alpha Imagen was conducted to determine cut-off points (C/O) for elastography measurements and their diagnostic accuracy ...Glenn Mena, Alejandro Montalvo, Michael Ubidia, Julio Olmedo, Ana Guerrero, Jose E. Leon-Rojas, Jose E. Leon-Rojas +6 moredoaj +1 more sourceIMAGENS CRIADAS COM IMAGENS
Revista da FUNDARTEThis article examines the use of images in Art and visual culture education within school contexts, investigating how students can be encouraged to interpret the artistic-visual productions that constitute their experiences. Epistemologically grounded in Visual Culture Studies, the study employs bibliographic research to examine convergences between ...Vinícius Stein, João Paulo Balisceiopenaire +1 more sourceÜber die Bindungsstelle hinausgedacht: Ein sich selbsteinkapselnder Kinase‐Inhibitor modelliert seine Bindetasche und erzielt so Selektivität
Angewandte Chemie, EarlyView.Um außergewöhnlich wirksame Wirkstoffe zu entwickeln, ist es erforderlich, über die Bindungsstelle hinaus zu denken. Diese Arbeit zeigt, dass die auf den ersten Blick kontraintuitive Adressierung einer konservierten Region der Kinase zu einer hochselektiven Bindung führen kann.Nico J. Seidler, Monica R. MacDonald, Athina A. Moschopoulou, Sahba Cunningham, Tess M. Weber, Nader N. Nasief, Lorenz Mayer, Frederik W. Hacker, Ekaterina Hermann, Mareike B. Möllers, Yuliia Skliarenko, Tahereh Damghani, Abid N. Manzar, Kaly S. Lin, Ramona Rudalska, Marcia I. Goettert, Lars Zender, Daniel Dauch, Michael Forster, Stefan A. Laufer, David E. Heppner +20 morewiley +1 more sourceImagen 3
CoRRWe introduce Imagen 3, a latent diffusion model that generates high quality images from text prompts. We describe our quality and responsibility evaluations. Imagen 3 is preferred over other state-of-the-art (SOTA) models at the time of evaluation. In addition, we discuss issues around safety and representation, as well as methods we used to minimize ...Imagen-Team-Google, Baldridge, Jason, Bauer, Jakob, Bhutani, Mukul, Brichtova, Nicole, Bunner, Andrew, Castrejon, Lluis, Chan, Kelvin, Chen, Yichang, Dieleman, Sander, Du, Yuqing, Eaton-Rosen, Zach, Fei, Hongliang, de Freitas, Nando, Gao, Yilin, Gladchenko, Evgeny, Colmenarejo, Sergio Gómez, Guo, Mandy, Haig, Alex, Hawkins, Will, Hu, Hexiang, Huang, Huilian, Igwe, Tobenna Peter, Kaplanis, Christos, Khodadadeh, Siavash, Kim, Yelin, Konyushkova, Ksenia, Langner, Karol, Lau, Eric, Lawton, Rory, Luo, Shixin, Mokrá, Soňa, Nandwani, Henna, Onoe, Yasumasa, Oord, Aäron van den, Parekh, Zarana, Pont-Tuset, Jordi, Qi, Hang, Qian, Rui, Ramachandran, Deepak, Rane, Poorva, Rashwan, Abdullah, Razavi, Ali, Riachi, Robert, Srinivasan, Hansa, Srinivasan, Srivatsan, Strudel, Robin, Uria, Benigno, Wang, Oliver, Wang, Su, Waters, Austin, Wolff, Chris, Wright, Auriel, Xiao, Zhisheng, Xiong, Hao, Xu, Keyang, van Zee, Marc, Zhang, Junlin, Zhang, Katie, Zhou, Wenlei, Zolna, Konrad, Aboubakar, Ola, Akbulut, Canfer, Akerlund, Oscar, Albuquerque, Isabela, Anderson, Nina, Andreetto, Marco, Aroyo, Lora, Bariach, Ben, Barker, David, Ben, Sherry, Berman, Dana, Biles, Courtney, Blok, Irina, Botadra, Pankil, Brennan, Jenny, Brown, Karla, Buckley, John, Bunel, Rudy, Bursztein, Elie, Butterfield, Christina, Caine, Ben, Carpenter, Viral, Casagrande, Norman, Chang, Ming-Wei, Chang, Solomon, Chaudhuri, Shamik, Chen, Tony, Choi, John, Churbanau, Dmitry, Clement, Nathan, Cohen, Matan, Cole, Forrester, Dektiarev, Mikhail, Du, Vincent, Dutta, Praneet, Eccles, Tom, Elue, Ndidi, Feden, Ashley, Fruchter, Shlomi, Garcia, Frankie, Garg, Roopal, Ge, Weina, Ghazy, Ahmed, Gipson, Bryant, Goodman, Andrew, Górny, Dawid, Gowal, Sven, Gupta, Khyatti, Halpern, Yoni, Han, Yena, Hao, Susan, Hayes, Jamie, Heek, Jonathan, Hertz, Amir, Hirst, Ed, Hoogeboom, Emiel, Hou, Tingbo, Howard, Heidi, Ibrahim, Mohamed, Ike-Njoku, Dirichi, Iljazi, Joana, Ionescu, Vlad, Isaac, William, Jana, Reena, Jennings, Gemma, Jenson, Donovon, Jia, Xuhui, Jones, Kerry, Ju, Xiaoen, Kajic, Ivana, Kaplanis, Christos, Ayan, Burcu Karagol, Kelly, Jacob, Kothawade, Suraj, Kouridi, Christina, Ktena, Ira, Kumakaw, Jolanda, Kurniawan, Dana, Lagun, Dmitry, Lavitas, Lily, Lee, Jason, Li, Tao, Liang, Marco, Li-Calis, Maggie, Liu, Yuchi, Alberca, Javier Lopez, Lorrain, Matthieu Kim, Lu, Peggy, Lum, Kristian, Ma, Yukun, Malik, Chase, Mellor, John, Mensink, Thomas, Mosseri, Inbar, Murray, Tom, Nematzadeh, Aida, Nicholas, Paul, Nørly, Signe, Oliveira, João Gabriel, Ortiz-Jimenez, Guillermo, Paganini, Michela, Paine, Tom Le, Paiss, Roni, Parrish, Alicia, Peckham, Anne, Peswani, Vikas, Petrovski, Igor, Pfaff, Tobias, Pirozhenko, Alex, Poplin, Ryan, Prabhu, Utsav, Qi, Yuan, Rahtz, Matthew, Rashtchian, Cyrus, Rastogi, Charvi, Raul, Amit, Razavi, Ali, Rebuffi, Sylvestre-Alvise, Ricco, Susanna, Riedel, Felix, Robinson, Dirk, Rohatgi, Pankaj, Rosgen, Bill, Rumbley, Sarah, Ryu, Moonkyung, Salgado, Anthony, Salimans, Tim, Singla, Sahil, Schroff, Florian, Schumann, Candice, Shah, Tanmay, Shaw, Eleni, Shaw, Gregory, Shillingford, Brendan, Shivakumar, Kaushik, Shtatnov, Dennis, Singer, Zach, Sluzhaev, Evgeny, Sokolov, Valerii +199 moreopenaire +3 more sourcesDeep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays
Scientific ReportsChest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the ...Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones +10 moredoaj +1 more sourcePronóstico de los pacientes con fracción de eyección supranormal tratados con recambio valvular aórtico percutáneo
REC: Interventional CardiologyRESUMEN Introducción y objetivos: Se ha evidenciado en diversos estudios que la fracción de eyección del ventrículo izquierdo (FEVI) reducida (< 50%) es un factor de riesgo independiente de eventos y mortalidad ...Edgar Martínez Gómez, Ximena Solar, Daniel Faria, Luis Nombela Franco, Pilar Jiménez Quevedo, Gabriela Tirado, Eduardo Pozo Osinalde, Carmen Olmos Blanco, Patricia Mahía Casado, Pedro Marcos Alberca, María Luaces, José Juan Gómez de Diego, Luis Collado Yurrita, Antonio Fernández-Ortiz, Julián Pérez-Villacastín, José Alberto de Agustín +15 moredoaj +1 more sourceImproved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation
Remote Sensing in Ecology and Conservation, EarlyView.Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...Felix Beer, Hugo do Nascimento Bendini, Mateus de Souza Miranda, Vu‐Dong Pham, Leila Maria Garcia Fonseca, Cássia Beatriz Rodrigues Munhoz, Sebastian van der Linden +6 morewiley +1 more source
