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Imaging techniques

Evaluating the specificity of flavivirus proteases in Aedes aegypti cells for dengue virus 2-derived cleavage sites

Alexius O. Dingle, Zach N. Adelman

Low illumination fog noise image denoising method based on ACE-GPM

Wuyi Li, Guanglu Zhou, Xingjian Wang

Study of distribution and morphological characteristics of the trabecular bone in the uncinate process of the cervical spine using micro-computed tomography

Yunteng Hao, Yuan Ma, [ ... ], Xing Wang

FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images

Nicholas T. Gigliotti, Justin Lee, [ ... ], Mitra L. Taheri

Comparing P300 flashing paradigms in online typing with language models

Nand Chandravadia, Shrita Pendekanti, [ ... ], William Speier

Cluster-based photography and modeling integrated method for an efficient measurement of cassava leaf area

Jittrawan Thaiprasit, Porntip Chiewchankaset, Saowalak Kalapanulak, Treenut Saithong

Application research of artificial intelligence software in the analysis of thyroid nodule ultrasound image characteristics

Chen Xu, Zuxin Wang, [ ... ], Yong Cai

Topographic changes in macula and its association with visual outcomes in idiopathic epiretinal membrane surgery

Seung Min Lee, Sung Who Park, Iksoo Byon

Stereoscopic view synthesis with progressive structure reconstruction and scene constraints

Wei Liu, Liyan Ma, Bo Qiu, Mingyue Cui

RSBagging: An ensemble classifier detecting the after-effects of ischemic stroke through EEG connectivity and microstates

Fang Wang, Xueying Zhang, Peng Zhang, Fengyun Hu

Optimization of whole slide imaging scan settings for computer vision using human lung cancer tissue

Melvin Geubbelmans, Jari Claes, [ ... ], Christel Faes

FDCN-C: A deep learning model based on frequency enhancement, deformable convolution network, and crop module for electroencephalography motor imagery classification

Hong-Jie Liang, Ling-Long Li, Guang-Zhong Cao

Assessment of the hypervascularized fraction of glioblastomas using a volume analysis of dynamic susceptibility contrast-enhanced MRI may help to identify pseudoprogression

Margaux Roques, Isabelle Catalaa, [ ... ], Fabrice Bonneville

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