Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Miguel Goncalves"'
Autor:
Miriam C. Bassler, Mona Knoblich, Elena Gerhard-Hartmann, Ashutosh Mukherjee, Almoatazbellah Youssef, Rudolf Hagen, Lukas Haug, Miguel Goncalves, Agmal Scherzad, Manuel Stöth, Edwin Ostertag, Maria Steinke, Marc Brecht, Stephan Hackenberg, Till Jasper Meyer
Publikováno v:
Diagnostics, Vol 14, Iss 1, p 92 (2023)
Salivary gland tumors (SGTs) are a relevant, highly diverse subgroup of head and neck tumors whose entity determination can be difficult. Confocal Raman imaging in combination with multivariate data analysis may possibly support their correct classif
Externí odkaz:
https://doaj.org/article/6e7e1acdf03448e3b4a6ef8f4ab2105c
Autor:
Matti Sievert, Konstantinos Mantsopoulos, Sarina K. Mueller, Markus Eckstein, Robin Rupp, Marc Aubreville, Florian Stelzle, Nicolai Oetter, Andreas Maier, Heinrich Iro, Miguel Goncalves
Publikováno v:
Acta Otorhinolaryngologica Italica, Vol 42, Iss 1, Pp 26-33 (2022)
Externí odkaz:
https://doaj.org/article/d0ee327b6338489ba43802a4bdc7a810
Autor:
Benjamin Philipp Ernst, Carla Dörsching, Alessandro Bozzato, Jennis Gabrielpillai, Sven Becker, Matthias Frank Froelich, Benedikt Kramer, Christoph Sproll, Mirco Schapher, Miguel Goncalves, Naglaa Mansour, Benedikt Hofauer, Wieland H Sommer, Felix von Scotti, Johannes Matthias Weimer, Julian Künzel
Publikováno v:
Ultrasound International Open, Vol 09, Iss 01, Pp E26-E32 (2023)
Purpose Ultrasound examinations are often criticized for having higher examiner dependency compared to other imaging techniques. Compared to free-text reporting, structured reporting (SR) of head and neck sonography (HNS) achieves superior time ef
Externí odkaz:
https://doaj.org/article/6720c320ba9644b8b52211976f87048a
Autor:
Ferludin, Oleksandr, Eigenwillig, Arno, Blais, Martin, Zelle, Dustin, Pfeifer, Jan, Sanchez-Gonzalez, Alvaro, Li, Wai Lok Sibon, Abu-El-Haija, Sami, Battaglia, Peter, Bulut, Neslihan, Halcrow, Jonathan, de Almeida, Filipe Miguel Gonçalves, Gonnet, Pedro, Jiang, Liangze, Kothari, Parth, Lattanzi, Silvio, Linhares, André, Mayer, Brandon, Mirrokni, Vahab, Palowitch, John, Paradkar, Mihir, She, Jennifer, Tsitsulin, Anton, Villela, Kevin, Wang, Lisa, Wong, David, Perozzi, Bryan
TensorFlow-GNN (TF-GNN) is a scalable library for Graph Neural Networks in TensorFlow. It is designed from the bottom up to support the kinds of rich heterogeneous graph data that occurs in today's information ecosystems. In addition to enabling mach
Externí odkaz:
http://arxiv.org/abs/2207.03522
Publikováno v:
Research in Psychotherapy, Vol 14, Iss 1 (2011)
The present work is aimed at exploring the relationship between the dynamics of sense-making carried out by the clinical exchange and the content of the patient’s narrative. To this end the relationship between the formal and functional mappin
Externí odkaz:
https://doaj.org/article/b8db0160f9024a57ab2825cd1b5a2875
Autor:
Wu, Yuchen, Bateni, MohammadHossein, Linhares, Andre, de Almeida, Filipe Miguel Goncalves, Montanari, Andrea, Norouzi-Fard, Ashkan, Tardos, Jakab
The community detection problem requires to cluster the nodes of a network into a small number of well-connected "communities". There has been substantial recent progress in characterizing the fundamental statistical limits of community detection und
Externí odkaz:
http://arxiv.org/abs/2106.04805
Autor:
Miguel Gonçalves, Carolina, Vazão, Adriana, Carvalho, Mariana, Cabral, Margarida, Martins, André, Martins, Hélia, Saraiva, Fátima, Morais, João, Dores, Hélder
Publikováno v:
In Revista Portuguesa de Cardiologia August 2024
Autor:
Miguel Gonçalves, Carolina, Carvalho, Mariana, Vazão, Adriana, Cabral, Margarida, Martins, André, Saraiva, Fátima, Morais, João
Publikováno v:
In Revista Portuguesa de Cardiologia June 2024
Autor:
Postăvaru, Ştefan, Tsitsulin, Anton, de Almeida, Filipe Miguel Gonçalves, Tian, Yingtao, Lattanzi, Silvio, Perozzi, Bryan
In this paper, we introduce InstantEmbedding, an efficient method for generating single-node representations using local PageRank computations. We theoretically prove that our approach produces globally consistent representations in sublinear time. W
Externí odkaz:
http://arxiv.org/abs/2010.06992
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