Results 31 to 40 of about 209,881 (298)

High-quality deepfakes have a heart!

Frontiers in Imaging
IntroductionDeepfakes have become ubiquitous in our modern society, with both their quantity and quality increasing. The current evolution of image generation techniques makes the detection of manipulated content through visual inspection increasingly ...
Clemens Seibold, Clemens Seibold, Eric L. Wisotzky, Eric L. Wisotzky, Arian Beckmann, Benjamin Kossack, Anna Hilsmann, Peter Eisert, Peter Eisert   +8 more
doaj   +1 more source

Straight line matching method based on line pairs and feature points

IET Computer Vision, 2016
Straight line matching is a fundamental task in many applications such as scene matching, stereo vision and sequence images analysis. As individual line segments cannot completely present the information of image and methods based on them are difficult ...
Jiexian Zeng, Liqin Zhan, Xiang Fu, Binbin Wang   +3 more
doaj   +1 more source

An active reconstruction algorithm based on partial prior information

International Journal of Advanced Robotic Systems, 2020
Active reconstruction is an intelligent perception method that achieves object modeling with few views and short motion paths by systematically adjusting the parameters of the camera while ensuring model integrity.
Yanzi Kong, Feng Zhu, Yingming Hao, Haibo Sun, Yilin Xie, Zhiyuan Lin   +5 more
doaj   +1 more source

Flexible Printed Circuit Fracture Detection Based on Hypothesis Testing Strategy

IEEE Access, 2020
A detection algorithm based on hypothesis testing strategy is presented for the detection of the fracture of FPC track. First, the sandwiched region between any two break points of the track skeleton is hypothesized as the alternative fracture to wait ...
Dejian Li, Shaoli Li, Weiqi Yuan
doaj   +1 more source

Canonical circuit computations for computer vision

Biological Cybernetics, 2023
AbstractAdvanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements, technical solutions have been shaped by application and engineering constraints. This includes the training of neural networks which led to the development of feature detectors optimally suited to the ...
Daniel Schmid, Christian Jarvers, Heiko Neumann   +2 more
openaire   +2 more sources

Current trends in single‐cell RNA sequencing applications in diabetes mellitus

FEBS Open Bio, EarlyView.
Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian, Khodakaram Jahanbin, Shekoofeh Nikooei, Marzieh Rostaminejad, Arezoo Rahimi, Pedram Abdizadeh, Behnam Alipoor   +6 more
wiley   +1 more source

Electrical pulse stimulation reflecting the episodic nature of real‐life exercise modulates metabolic and secretory profile of primary human myotubes

FEBS Open Bio, EarlyView.
Here, we introduced an intermittent electrical stimulation protocol mimicking the episodic nature of real‐life exercise in vitro by alternating low‐ and high‐frequency stimulation. In comparison with widely used continuous stimulation, it enhanced the rate of glucose and fatty acid oxidation, but not the myokine release.
Klára Gabrišová, Tímea Kurdiová, Daria Barkova, Natália Pálešová, Jana Babulicová, Silvia Tyčiaková, Marta Novotová, Mária Balážová, Miroslav Sabo, Václav Pustka, Jozef Ukropec, Barbara Ukropcová   +11 more
wiley   +1 more source

Diabetic retinopathy screening using machine learning: a systematic review

BMC Biomedical Engineering
Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification and prompt treatment are crucial in preventing vision impairment caused by diabetic retinopathy (DR).
Fitsum Mesfin Dejene, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Degaga Wolde Feyisa   +4 more
doaj   +1 more source

Serum Neurofilament Light Chain in Multiple Sclerosis: Superiority of Age‐ and BMI‐Corrected Z Scores/Percentiles Over Absolute Cutoff Values for Prediction of Treatment Response

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler, Aleksandra Maleska Maceski, Sofia Sandgren, Johanna Oechtering, Sabine Schaedelin, Lisa Hofer, Amar Zadic, Juan Francisco Vilchez Gomez, Lester Melie‐Garcia, Alessandro Cagol, Riccardo Galbusera, Sebastian Finkener, Patrice Lalive, Marjolaine Uginet, Stefanie Müller, Caroline Pot, Amandine Mathias, Renaud Du Pasquier, Robert Hoepner, Andrew Chan, Giulio Disanto, Chiara Zecca, Marcus D’Souza, Lars G. Hemkens, Tobias Derfuss, Özgür Yaldizli, Patrick Roth, Claudio Gobbi, David Brassat, Björn Tackenberg, Henrik Zetterberg, Tjalf Ziemssen, Heinz Wiendl, Klaus Berger, Marco Hermesdorf, Fredrik Piehl, Ludwig Kappos, Cristina Granziera, Ahmed Abdelhak, David Leppert, Eline A. J. Willemse, Pascal Benkert, Jens Kuhle, Swiss Multiple Sclerosis Cohort Study (SMSC)   +43 more
wiley   +1 more source

Characteristics of Cerebral Palsy in the Midwestern US

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebral palsy (CP) is the most common lifelong motor disability worldwide. Yet, data is limited on how CP manifests in the US. Our objective was to characterize and determine factors affecting functional outcomes in a large population of young people with CP in the Midwestern US.
Susie Kim, Kelsey Steffen, Lauren Gottschalk‐Henneberry, Jennifer Miros, Amy Robichaux‐Viehoever, Karen Taca, Bhooma R. Aravamuthan   +6 more
wiley   +1 more source