Results 91 to 100 of about 2,159,265 (282)

Identifiable regional and neural network abnormalities in early childhood anxiety

JCPP Advances, EarlyView.
Abstract Background Although the neural underpinnings of anxiety have been investigated, most research has been confined to adolescence and adulthood, with less of a focus on the early childhood period. Little is known about the role of anticipatory fear processing early childhood, which is a sensitive period for anxiety development.
Khalil I. Thompson, Yiwen Zhang, Denny Schaedig, Anna Bankston, Anoushka Parnerkar, Shrinidhi Jeyaram, Nadine Melhem, Susan B. Perlman   +7 more
wiley   +1 more source

Enhanced space-variant deblurring of spacecraft images via detail-preserving techniques

Scientific Reports
During spacecraft launch, flight, and docking operations, monitored images often suffer from spatially variant blur caused by atmospheric turbulence, defocusing, and relative motion.
Hanyu Hong, Shuai Guo, Zhiwen Liu, Nong Sang, Hanyu Wang, Dapeng Tian, Liang Ye   +6 more
doaj   +1 more source

DINOSim: Training‐Free Semantic Segmentation on Microscopy Images

Microscopy Research and Technique, EarlyView.
DINOSim enables training‐free semantic segmentation of microscopy images from simple point prompts by leveraging DINOv2 embeddings, achieving performance comparable to supervised methods and robust generalization across diverse biological domains. ABSTRACT We present DINOSim, a training‐free method for segmenting objects in microscopy images without ...
Aitor González‐Marfil, Estibaliz Gómez‐de‐Mariscal, Ignacio Arganda‐Carreras   +2 more
wiley   +1 more source

Estimating an images blur kernel using natural image statistics, and deblurring it : An analysis of the Goldstein-Fattal method [PDF]

Despite the significant improvement in image quality resulting from improvement in optical sensors and general electronics, camera shake blur significantly undermines the quality of hand-held photographs.
Facciolo, Gabriele, Anger, Jeremy, Delbracio, Mauricio   +2 more
core   +3 more sources

Probability density estimation with tunable kernels using orthogonal forward regression [PDF]

, 2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia, Chen, Sheng, Harris, Chris J., Chen, S.   +3 more
core   +1 more source

Multi‐Parametric Phase‐Cycled Balanced Steady‐State Free Precession Brain Tissue Characterization in Relapsing‐Remitting Multiple Sclerosis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Time‐efficient phase‐cycled balanced steady‐state free precession (pc‐bSSFP) imaging is a novel microstructure‐ and myelin‐sensitive approach for multi‐parametric brain tissue characterization not yet evaluated in demyelinating diseases such as multiple sclerosis (MS).
Florian Birk, Benjamin Bender, Hamzeh Tesh, Anagha Deshmane, Maris M. Fabian, Markus C. Kowarik, Tobias Lindig, Ulrike Ernemann, Klaus Scheffler, Rahel Heule   +9 more
wiley   +1 more source

Ultra‐High Frequency Ultrasound Imaging and Quantification of Microvascular Flow in Xenograft Renal Cell Carcinoma in an Avian Chorioallantoic Membrane Model

Journal of Ultrasound in Medicine, EarlyView.
Patient‐derived xenograft (PDX) tumor models initiated in avian chorioallantoic membranes (CAM) are under investigation to evaluate the effectiveness of therapeutic options with the objective of personalizing treatments. CAM PDXs paired with ultra‐high frequency ultrasound (UHFUS) imaging could potentially constitute prospective high throughput assays ...
Sara Mar, Emmanuel Chérin, Justin Xu, David E. Goertz, Hon S. Leong, Christine E.M. Demore   +5 more
wiley   +1 more source

Estimation of perceived image blur

, 1994
Sharpness is an important basic attribute of image quality. The spread of the blurring kernel is a good objective correlate of sharpness. Hence, by estimating the spread of the blurring kernel from a blurred image, lhe sharpness in the image can be ...
Kayargadde, V., Martens, J.B.O.S.
core  

From ACR O‐RADS 2022 to Explainable Deep Learning

Journal of Ultrasound in Medicine, EarlyView.
Objectives The 2022 update of the Ovarian‐Adnexal Reporting and Data System (O‐RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter‐observer variability and conservative diagnostic thresholds.
Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi, Anushya Vijayananthan, Sook Sam Leong, Yi Ting Lim, Mohd Kamil Bin Mohamad Fabell, Gernot Hudelist, Balint Balogh, Marlina Tanty Ramli Hamid, U Rajendra Acharya, Sepideh Hatamikia   +11 more
wiley   +1 more source

Maximum a posteriori based unsupervised learning for images deblurring with cauchy noise

Applied Mathematics in Science and Engineering
In image restoration with a known blur kernel, Gaussian noise is commonly assumed, and corresponding removal methods have been extensively studied.
Meina Zhang, Yingying Li, Qingjie Cui, Guoxi Ni   +3 more
doaj   +1 more source