Spatial resolution plays a crucial role in quantitative assessment of various structures in brain MRI. Super resolution (SR) as a post-processing tool holds promise for restoring the high frequency details lost in a low resolution (LR) acquisition with no additional scan time. Prior multicontrast ...
Multimodal super- resolution optical microscopy visualizes the close connection between mem- brane and the cytoskeleton in liver sinusoidal endothelial cell fenestrations. Sci Rep (2015) 5:16279. doi:10.1038/srep16279Monkemoller V, Oie C, Hubner W, Huser T, McCourt P. Multimodal super-...
SRAOD: Super-Resolution-Based Object Detection in Multimodal Remote Sensing Imagery 来自 Springer 喜欢 0 阅读量: 17 作者:BS Vidhyasagar,VSN Reddy,GV Kumar,M Sangeetha 摘要: This study explores the task of accurately detecting small objects in remote sensing imagery (RSI), which presents a ...
Structured illumination microscopy (SIM) is commonly recognized as a well suitable tool for live imaging because of its ability to acquire a super-resolution (SR) image from only a small number of illumination pattern-modulated images [1, 2]. However, conventional SIM reconstruction algorithm is ...
Repository files navigation README MTSR-MRI: Combined Modality Translation and Super-Resolution for Magnetic Resonance Images (MIDL 2023) End-to-End Network for Multimodal Image Super-Resolution Prerequisites Brief Description Results AcknowledgementsAbout...
comparable super-resolution capability to the ground truth (GT). Moreover, we developed an easy-to-use plugin that enables both training and implementation of PRS-SIM for multimodal SIM platforms including 2D/3D and linear/nonlinear SIM. With PRS-SIM, we achieved long-term super-resolution live...
It used un-trained CNNs to solve a range of inverse problems in computer vision (image inpainting, super-resolution, denoising). Methods Assume the data generative process so that latent and common cause Z gives rise to \(X_m\), which in turn produces observed \(Y_m\), i.e. \(Z\...
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models; Zhang Li et al Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts; Jialin Wu et al SILKIE: PREFERENCE DISTILLATION FOR LARGE VISUAL LANGUAGE MODELS; Lei Li et al GLaMM...
《Boosting Flow-based Generative Super-Resolution Models via Learned Prior》(CVPR 2024) GitHub: github.com/liyuantsao/BFSR [fig6] 《AccDiffusion: An Accurate Method for Higher-Resolution Image Generation》(ECCV 2024) GitHub: github.com/lzhxmu/AccDiffusion...
Super-resolution microscopy reveals the native ultrastructure of the erythrocyte cytoskeleton Cell Rep., 22 (2018), pp. 1151-1158 View PDFView articleView in ScopusGoogle Scholar Peng et al., 2014 Z. Peng, A. Mashayekh, Q. Zhu Erythrocyte responses in low-shear-rate flows: effects of non-...