Results 81 to 90 of about 462,780 (278)

Synthetic CT Image Generation From CBCT: A Systematic Review

IEEE Transactions on Radiation and Plasma Medical Sciences
21 pages, 14 Figures, Accepted in the IEEE Transactions on Radiation and Plasma Medical ...
Alzahra Altalib, Scott McGregor, Chunhui Li, Alessandro Perelli   +3 more
openaire   +3 more sources

Differential regulation of ZFAS1 splice variants by endoplasmic reticulum stress in hepatocyte cell lines

FEBS Open Bio, EarlyView.
ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand, Paulina Lau, Ruth McPherson   +2 more
wiley   +1 more source

Clinical experience and workflow challenges with magnetic resonance-only radiation therapy simulation and planning for prostate cancer

Physics and Imaging in Radiation Oncology, 2020
Background and purpose: Magnetic Resonance (MR)-only planning has been implemented clinically for radiotherapy of prostate cancer. However, fewer studies exist regarding the overall success rate of MR-only workflows. We report on successes and challenges
Neelam Tyagi, Michael J. Zelefsky, Andreas Wibmer, Kristen Zakian, Sarah Burleson, Laura Happersett, Aleksi Halkola, Mo Kadbi, Margie Hunt   +8 more
doaj   +1 more source

Inductive Visual Localisation: Factorised Training for Superior Generalisation [PDF]

, 2018
End-to-end trained Recurrent Neural Networks (RNNs) have been successfully applied to numerous problems that require processing sequences, such as image captioning, machine translation, and text recognition.
Gupta, Ankush, Vedaldi, Andrea, Zisserman, Andrew   +2 more
core   +2 more sources

The AMBRE Project: Stellar Parameterisation of the ESO:UVES archived spectra

, 2016
The AMBRE Project is a collaboration between the European Southern Observatory (ESO) and the Observatoire de la Cote d'Azur (OCA) that has been established in order to carry out the determination of stellar atmospheric parameters for the archived spectra
Bijaoui, A., de Laverny, P., Hill, V., Recio-Blanco, A., Worley, C. C.   +4 more
core   +1 more source

Dihydroorotate dehydrogenase (DHODH) regulates trophoblast syncytialization through organelle stress–induced cellular senescence

FEBS Open Bio, EarlyView.
The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida, Kazuya Kusama, Ayaka Horiuchi, Yu Kawaguchi, Atsuya Tsuru, Mikihiro Yoshie, Kazuhiro Tamura   +6 more
wiley   +1 more source

GUBS, a Behavior-based Language for Open System Dedicated to Synthetic Biology

, 2012
In this article, we propose a domain specific language, GUBS (Genomic Unified Behavior Specification), dedicated to the behavioral specification of synthetic biological devices, viewed as discrete open dynamical systems.
Adrien Basso-Blandin, Ashenden, Basu, Beal, Bilitchenko, Blackburn, Braüner, Cai, Calzone, Cerrito, Ciocchetta, Clancy, Czar, Danos, Delaplace, Franck Delaplace, Gabriel Ciobanu, Giavitto, Gibson, Hume, Lewis, Lu, Pedersen, Priami, Purnick, Regot, Thomas, Umesh, Ye   +28 more
core   +3 more sources

Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan, John R. Mills, Paulina Vargas, Naveen K. Paramasivan, Connie E. Lesnick, Eati Basal, Surendra Dasari, James P. Fryer, Shannon R. Hinson, Joseph Laporta, Amy Espinal, Dennis Fitzgerald, Carolina Garcia, Anna E. Morenkova, Paola Pergami, Anna Shah, Andrew Knight, Reghann LaFrance Corey, Vanda A. Lennon, Anastasia Zekeridou, Sean J. Pittock, Divyanshu Dubey, Andrew McKeon   +22 more
wiley   +1 more source

Clustered Multitask Nonnegative Matrix Factorization for Spectral Unmixing of Hyperspectral Data

, 2019
In this paper, the new algorithm based on clustered multitask network is proposed to solve spectral unmixing problem in hyperspectral imagery. In the proposed algorithm, the clustered network is employed.
Khoshsokhan, Sara, Rajabi, Roozbeh, Zayyani, Hadi   +2 more
core   +1 more source

Synthetic Training Data for CT Image Segmentation of Microstructures

Acta Materialia
The segmentation of images obtained through techniques such as computed tomography is a key step in generating digital twins of porous microstructures. A common approach to segmentation is the use of supervised machine learning algorithms, such as U-Net.
Lars Griem, Arnd Koeppe, Alexander Greß, Thomas Feser, Britta Nestler   +4 more
openaire   +3 more sources