Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Roland Hu"'
Publikováno v:
Sensors, Vol 22, Iss 19, p 7607 (2022)
An algorithm for a sharpness evaluation of microscopic images based on non-subsampled shearlet wave transform (NSST) and variance is proposed in the present study for the purpose of improving the noise immunity and accuracy of a microscope’s image
Externí odkaz:
https://doaj.org/article/7b5c14961c974beda5d48b3860e41d3f
Autor:
Leandro R.D. Sanz, Nicolas Lejeune, Emilie Szymkowicz, Estelle A.C. Bonin, Rajanikant Panda, Arianna Sala, Aurore Thibaut, Rodrigo Huerta-Gutierrez, Nadia Dardenne, David Dikenstein, Sébastien Van Goethem, Didier Ledoux, Roland Hustinx, Johan Stender, Neal M. Farber, Ross D. Zafonte, Nicholas D. Schiff, Steven Laureys, Olivia Gosseries
Publikováno v:
EClinicalMedicine, Vol 78, Iss , Pp 102925- (2024)
Summary: Background: Apomorphine is a dopaminergic candidate therapy to improve recovery in patients with prolonged disorders of consciousness (PDoC). Behavioural improvements were previously described in non-controlled case series, but its efficacy
Externí odkaz:
https://doaj.org/article/e5bbe7257d854c5c841609e5b71e6a45
Autor:
Silvano Marchiori, François Cousin, Iraklis Papadopoulos, Claire Bernard, Marie Thys, Bernard De Prijck, Michelle Pirotte, Anne-Françoise Donneau, Roland Hustinx, Jo Caers, Nadia Withofs
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Background 2-[18F]fluoro-2-deoxy-D-glucose ([18F]FDG) positron emission tomography combined with low-dose computed tomography (PET/CT) can be used at diagnosis to identify myeloma-defining events and also provides prognostic factors. The aim
Externí odkaz:
https://doaj.org/article/585ef104f0954fcb9e7a3ad1b786b498
Autor:
Thomas Louis, François Lucia, François Cousin, Carole Mievis, Nicolas Jansen, Bernard Duysinx, Romain Le Pennec, Dimitris Visvikis, Malik Nebbache, Martin Rehn, Mohamed Hamya, Margaux Geier, Pierre-Yves Salaun, Ulrike Schick, Mathieu Hatt, Philippe Coucke, Pierre Lovinfosse, Roland Hustinx
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The primary objective of the present study was to identify a subset of radiomic features extracted from primary tumor imaged by computed tomography of early-stage non-small cell lung cancer patients, which remain unaffected by variations in
Externí odkaz:
https://doaj.org/article/cb821f285cad41d2b52951cd322e47db
Autor:
Fátima Brandão, Carla Costa, Maria João Bessa, Elise Dumortier, Florence Debacq-Chainiaux, Roland Hubaux, Michel Salmon, Julie Laloy, Miruna S. Stan, Anca Hermenean, Sami Gharbia, Anca Dinischiotu, Anne Bannuscher, Bryan Hellack, Andrea Haase, Sónia Fraga, João Paulo Teixeira
Publikováno v:
Nanomaterials, Vol 14, Iss 23, p 1905 (2024)
In the original publication [...]
Externí odkaz:
https://doaj.org/article/627bb23d4e32470fb4b2d65d6baa9c90
Publikováno v:
ISCAS
In intra frame coding, many methods are proposed to reduce spatial redundancy, including angular intra prediction and intra block copy. However, these two methods cannot deal with complex structure redundancy, such as scaling and rotation relationshi
Publikováno v:
ICIP
Convolutional neural networks (CNNs) have achieved great successes in face recognition, which unfortunately comes at the cost of massive computation and storage consumption. Many compact face recognition networks are thus proposed to resolve this pro
Publikováno v:
IEEE Transactions on Image Processing. 27:4529-4544
The past decade has witnessed the use of highlevel features in saliency prediction for both videos and images. Unfortunately, the existing saliency prediction methods only handle high-level static features, such as face. In fact, high-level dynamic f
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 18:1511-1524
Researchers across the globe have been increasingly interested in the manner in which important research topics evolve over time within the corpus of scientific literature. In a dataset of scientific articles, each document can be considered to compr
Publikováno v:
Frontiers of Computer Science. 11:786-802
Accurately representing the quantity and characteristics of users’ interest in certain topics is an important problem facing topic evolution researchers, particularly as it applies to modern online environments. Search engines can provide informati