Results 101 to 110 of about 615,528 (247)

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

Space-varying blur kernel estimation and image deblurring

, 2014
In recent years, we have seen highly successful blind image deblurring algorithms that can even handle large motion blurs. Most of these algorithms assume that the entire image is blurred with a single blur kernel.
Güntürk, Bahadır Kürşat, Bahadir K. Gunturk, Qian, Qinchun, Qinchun Qian   +3 more
core   +1 more source

Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions

Microscopy Research and Technique, EarlyView.
A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy, Orkun Cevheroğlu, Çağdaş Devrim Son   +2 more
wiley   +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

HCDFormer: A Hybrid Convolution and Dimension-based Self-attention Method for Image Motion Deblurring

International Journal of Computational Intelligence Systems
Convolution-based neural networks have been extensively employed in motion deblurring. However, two issues prevent them from realizing their full potential: (1) limited receptive fields owing to the kernel size; (2) failure to adequately characterize the
Weizhi Yang, Yi Xie, Jiangqun Ni, Ying Gao, Jun Tang   +4 more
doaj   +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

Employees' Mitigation of Ambiguous Green Human Resource Management Signals

Strategic Change, EarlyView.
ABSTRACT Human resource management (HRM) is increasingly directed at leveraging businesses' environmental strategies. Current research shows how integrating environmental objectives into HRM practices can positively affect an organization's green performance.
Josefine Weigt‐Rohrbeck, Mai S. Linneberg   +1 more
wiley   +1 more source

A Progressive Decoupled Network for Blind Image Super-Resolution

IEEE Access
Blind super-resolution (Blind SR) has become a popular research topic in computer vision in super-resolution, which aims to enhance low-resolution (LR) images with unknown or partially known degradation blur kernels.
Laigan Luo, Benshun Yi, Chao Zhu
doaj   +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

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