Results 1 to 10 of about 35 (34)

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study [PDF]

Open Heart, 2023
Background Angiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).AIMS We compared the ability of humans, angiographic parameters and deep learning
Stéphane Cook, Thabo Mahendiran, Stephane Fournier, Bernard De Bruyne, Olivier Muller, Nicolas Dayer, David Meier, Dorina Thanou, Ortal Senouf, Fahrang Aminfar, Denise Auberson, Omar Raita, Pascal Frossard, Mattia Pagnoni, Emmanuel Abbé   +14 more
doaj   +2 more sources

Multi-Feature 360 Video Quality Estimation

IEEE Open Journal of Circuits and Systems, 2021
We propose a new method for the visual quality assessment of 360-degree (omnidirectional) videos. The proposed method is based on computing multiple spatio-temporal objective quality features on viewports extracted from 360-degree videos.
Roberto G. de A. Azevedo, Neil Birkbeck, Ivan Janatra, Balu Adsumilli, Pascal Frossard   +4 more
doaj   +1 more source

Highly‐efficient optically transparent planarized transmit‐arrays using heterogeneous unit cells

Electronics Letters, Volume 59, Issue 21, November 2023., 2023
Two K‐band optically transparent transmit‐arrays that radiated pencil beam and flat‐top beam, respectively are proposed. Highly transparent COC is utilized as the constitutive dielectric substrates while copper meshes as conductors. The pencil beam transmit‐array obtains a high gain as well as a high aperture efficiency, while the flat‐top beam ...
Yangbin Jiang, Xin Yu Wu, Zhi Hao Jiang, Longzhu Cai, Wei Hong   +4 more
wiley   +1 more source

Learning of robust spectral graph dictionaries for distributed processing

EURASIP Journal on Advances in Signal Processing, 2018
We consider the problem of distributed representation of signals in sensor networks, where sensors exchange quantized information with their neighbors. The signals of interest are assumed to have a sparse representation with spectral graph dictionaries ...
Dorina Thanou, Pascal Frossard
doaj   +1 more source

Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making. [PDF]

EuroIntervention, 2023
Salihu A, Gadiri MA, Skalidis I, Meier D, Auberson D, Fournier A, Fournier R, Thanou D, Abbé E, Muller O, Fournier S.   +10 more
europepmc   +1 more source

Myocardial Segmentation of Tagged Magnetic Resonance Images with Transfer Learning Using Generative Cine-To-Tagged Dataset Transformation. [PDF]

Bioengineering (Basel), 2023
Dhaene AP, Loecher M, Wilson AJ, Ennis DB.   +3 more
europepmc   +1 more source

Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning. [PDF]

PLoS One, 2023
Aguet C, Jorge J, Van Zaen J, Proença M, Bonnier G, Frossard P, Lemay M.   +6 more
europepmc   +1 more source

Comparative transcriptome analysis reveals regulatory network and regulators associated with proanthocyanidin accumulation in persimmon. [PDF]

BMC Plant Biol, 2021
Zheng Q, Chen W, Luo M, Xu L, Zhang Q, Luo Z.   +5 more
europepmc   +1 more source

Protein N-glycosylation in the bronchoalveolar space differs between never-smokers and long-term smokers with and without COPD. [PDF]

Glycobiology, 2023
Venkatakrishnan V, Thomsson KA, Padra M, Andersson A, Brundin B, Christenson K, Bylund J, Karlsson NG, Lindén A, Lindén SK.   +9 more
europepmc   +1 more source

Determinants of Preschool Teachers' Knowledge-Sharing Behavior from a Thinking Style Perspective. [PDF]

Behav Sci (Basel), 2023
Cheng L, Wu D, Cao J.
europepmc   +1 more source