Results 111 to 120 of about 12,292,225 (304)

Super-resolution of images based on Generative Adversarial Network and noise distribution

四川大学学报. 自然科学版, 2023
Existing image super-resolution reconstruction methods take less into account the noise information contained in real low-resolution images, which will affect the quality of image reconstruction. Inspired by the real image denoising algorithm, this paper
WANG Ye, SUN Zhi-Kuan, Li Zheng
doaj  

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Pulse noise-hidden image reconstruction and visualization via stochastic resonance

, 2016
We investigate the nanosecond pulse noise-hidden image reconstruction and visualization using stochastic resonance implemented by modulation instability.
Huang, Nan, Wang, Zhaolu, Liu, Hongjun, Han, Jing, Sun, Qibing   +4 more
core   +1 more source

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch, Markus Matilainen, Giulia N. Baldrighi, Marjo Nylund, Maija Saraste, Laura Airas   +5 more
wiley   +1 more source

Optimal finite element modelling and efficient reconstruction in non-linear 3D electrical resistance tomography

, 2001
Electrical Impedance Tomography can provide images with well-defined characteristics using a fully non-linear reconstruction process when appropriate constraints are imposed on the solution to allow the ill-posed inverse problem to be solved.
Daniell, G.J., Molinari, M., Cox, S.J., Blott, B.H.   +3 more
core   +1 more source

Re‐Purposing Sapropterin (Kuvan) for ACTA2‐Related Multisystemic Smooth Muscle Dysfunction Syndrome: A Translational Mechanistic and First‐In‐Human Therapeutic Report

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem, Noa Bielopolski, Vijai Krishnan, Shane Wald‐Altman, Shelly I Shrian, Omer Bar‐Yosef, Livia Kapusta, Claire Shamber, Patricia L. Musolino, Miguel Weil   +9 more
wiley   +1 more source

Image reconstruction of an image sensor based optical tomography

, 2010
Process tomography is a technique that has the potential for enabling great improvements in efficiency and safety in process industries, while minimizing waste and pollution in a range of applications.
Sadat Sahlabadi, Fatemeh
core  

Diffusion Model With Gradient Descent Module Guiding Reconstruction for Single-Pixel Imaging

IEEE Photonics Journal
Reconstructing high-quality images with few measurements has always been a primary goal for single-pixel imaging (SPI). Diffusion models have shown outstanding performance in image generation and have been effectively attempted in image reconstruction ...
Chen Huang, Qiurong Yan, Jinwei Yan, Yi Li, Xiaolong Luo, Hui Wang   +5 more
doaj   +1 more source

Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse, Takashi Matsukawa, Yumiko Nakamura, Kazuo Kakinuma, Shoko Ota, Ryo Hara, Saki Nakashima, Kaoru Ito, Yutaro Nakamori, Toshiyuki Kakumoto, Masashi Hamada, Shigenori Kanno, Kyoko Suzuki, Tatsushi Toda   +13 more
wiley   +1 more source

MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery.

PLoS Computational Biology
To be useful for downstream applications, vision decoding models that are trained to reconstruct seen images from human brain activity must be able to generalize to internally generated visual representations, i.e., mental images.
Reese Kneeland, Cesar Kadir Torrico Villanueva, Tong Chen, Jordyn Ojeda, Shubh Khanna, Jonathan Xu, Paul S Scotti, Thomas Naselaris   +7 more
doaj   +1 more source