Results 61 to 70 of about 1,138,724 (269)

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

MemNet: A Persistent Memory Network for Image Restoration

, 2017
Recently, very deep convolutional neural networks (CNNs) have been attracting considerable attention in image restoration. However, as the depth grows, the long-term dependency problem is rarely realized for these very deep models, which results in the ...
Liu, Xiaoming, Tai, Ying, Xu, Chunyan, Yang, Jian   +3 more
core   +1 more source

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter, Jens‐Peter Schenk, Jenny Wegert, Manfred Gessler, Leo Kager, Stefan Wagenpfeil, Marina Müller, Jean‐Michel Wolff, Joerg Fuchs, Steven W. Warmann, Clemens‐Magnus Meier, Jochen Hubertus, Christian Rübe, Christian Vokuhl, Patrick Melchior, Lena Tschirner, Norbert Graf, Rhoikos Furtwängler   +17 more
wiley   +1 more source

Learning Spectral–Spatial-Former Deep Prior for Hyperspectral Image Superresolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The superresolution (SR) technique is a leading solution for achieving high spatial–spectral resolution in hyperspectral (HS) images, which current sensors struggle to provide due to cost and physical constraints.
Zeinab Dehghan, Jingxiang Yang, Abdolraheem Khader, Jian Fang, Liang Xiao   +4 more
doaj   +1 more source

Deep Graph Laplacian Regularization for Robust Denoising of Real Images

, 2019
Recent developments in deep learning have revolutionized the paradigm of image restoration. However, its applications on real image denoising are still limited, due to its sensitivity to training data and the complex nature of real image noise.
Cheung, Gene, Pang, Jiahao, Sun, Wenxiu, Zeng, Jin   +3 more
core   +1 more source

Deep Image Super Resolution via Natural Image Priors [PDF]

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Single image super-resolution (SR) via deep learning has recently gained significant attention in the literature. Convolutional neural networks (CNNs) are typically learned to represent the mapping between low-resolution (LR) and high-resolution (HR) images/patches with the help of training examples.
Mousavi, Hojjat S., Guo, Tiantong, Monga, Vishal   +2 more
openaire   +2 more sources

Practical phase retrieval using double deep image priors

Electronic Imaging, 2023
Phase retrieval (PR) concerns the recovery of complex phases from complex magnitudes. We identify the connection between the difficulty level and the number and variety of symmetries in PR problems. We focus on the most difficult far-field PR (FFPR), and propose a novel method using double deep image priors.
Zhuang, Zhong, Yang, David, Hofmann, Felix, Barmherzig, David, Sun, Ju   +4 more
openaire   +2 more sources

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Unsupervised Lesion Detection via Image Restoration with a Normative Prior

, 2019
Unsupervised lesion detection is a challenging problem that requires accurately estimating normative distributions of healthy anatomy and detecting lesions as outliers without training examples.
Chen, Xiaoran, Konukoglu, Ender, Tezcan, Kerem Can, You, Suhang   +3 more
core   +1 more source

Unsupervised noisy image segmentation using Deep Image Prior

Mathematics and Computers in Simulation
The so called Deep Image Prior paradigm stands as an exceptional advancement at the intersection of inverse problems and deep learning. By leveraging the inherent regularization properties of deep networks, Deep Image Prior has recently emerged as a landmark approach in addressing various imaging problems, including denoising, JPEG artifacts removal ...
Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta   +3 more
openaire   +1 more source