Results 101 to 110 of about 211 (127)

Polymer waste and pollution in oral healthcare clinics: a systematic review. [PDF]

BDJ Open
Gussgard AM, Jokstad A.
europepmc   +1 more source

Roadmap on computational methods in optical imaging and holography [invited]. [PDF]

Appl Phys B
Rosen J, Alford S, Allan B, Anand V, Arnon S, Arockiaraj FG, Art J, Bai B, Balasubramaniam GM, Birnbaum T, Bisht NS, Blinder D, Cao L, Chen Q, Chen Z, Dubey V, Egiazarian K, Ercan M, Forbes A, Gopakumar G, Gao Y, Gigan S, Gocłowski P, Gopinath S, Greenbaum A, Horisaki R, Ierodiaconou D, Juodkazis S, Karmakar T, Katkovnik V, Khonina SN, Kner P, Kravets V, Kumar R, Lai Y, Li C, Li J, Li S, Li Y, Liang J, Manavalan G, Mandal AC, Manisha M, Mann C, Marzejon MJ, Moodley C, Morikawa J, Muniraj I, Narbutis D, Ng SH, Nothlawala F, Oh J, Ozcan A, Park Y, Porfirev AP, Potcoava M, Prabhakar S, Pu J, Rai MR, Rogalski M, Ryu M, Choudhary S, Salla GR, Schelkens P, Şener SF, Shevkunov I, Shimobaba T, Singh RK, Singh RP, Stern A, Sun J, Zhou S, Zuo C, Zurawski Z, Tahara T, Tiwari V, Trusiak M, Vinu RV, Volotovskiy SG, Yılmaz H, De Aguiar HB, Ahluwalia BS, Ahmad A.   +82 more
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PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI

Optics and Lasers in Engineering, 2022
Abstract In this paper, we propose a deep nonlinear CNN model, named as PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI. Our PU-M-Net consists of four pathways in “M” shape, and merges them by abundant skip connections.
Min Xu, Chen Tang, Yuxin Shen, Nian Hong, Zhenkun Lei   +4 more
openaire   +1 more source

PU-GAN: A One-Step 2-D InSAR Phase Unwrapping Based on Conditional Generative Adversarial Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
Two-dimensional phase unwrapping (PU) is a classical ill-posed problem in synthetic aperture radar interferometry (InSAR). The traditional algorithmic model-based 2-D PU methods are limited by the Itoh condition, which is from the PU researchers' experience and has critical challenges under strong phase noises or violent phase changes.
Lifan Zhou, Hanwen Yu, Vito Pascazio, Mengdao Xing   +3 more
openaire   +1 more source

ViT-PU-Net: Volumetric Phase Unwrapping for MR images based on Vision Transformer

ISMRM Annual Meeting, 2023
MR phase information has been used in many MRI applications, recently, so it is very important to estimate the correct MR phase. Since the MR phase is encoded in complex exponential, the actual phase information obtained is in the form of a wrapped signal.
Soohyun Jeon, Kanghyun Ryu, Dong-Hyun Kim   +2 more
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Planning for post‐pandemic cancer care delivery: Recovery or opportunity for redesign?

Ca-A Cancer Journal for Clinicians, 2021
Pelin Cinar, Daniela A Bota, Kathryn A Gold   +2 more
exaly  

Phase transitions in 2D materials

Nature Reviews Materials, 2021
Wenbin Li, Xiaofeng Qian, Ju Li
exaly  

MoDL-PU: Model-Based Deep Learning for InSAR Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing
Lifan Zhou, Hanwen Yu
openaire   +1 more source

SLBL-PU: Shadow-Based Layer-By-Layer Phase Unwrapping for Efficient 3D Measurement

IEEE Transactions on Computational Imaging
Ruiming Yu, Hongshan Yu, Haiqiang Xu, Wei Sun, Naveed Akhtar, Yaonan Wang   +5 more
openaire   +1 more source

Vascular Access in Oncology Patients

Ca-A Cancer Journal for Clinicians, 2008
Maurizio A Gallieni, Mauro Pittiruti, Roberto Biffi   +2 more
exaly