Results 81 to 90 of about 10,813,722 (307)

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Benefiting from Multitask Learning to Improve Single Image Super-Resolution [PDF]

Despite significant progress toward super resolving more realistic images by deeper convolutional neural networks (CNNs), reconstructing fine and natural textures still remains a challenging problem.
Thiran, Jean-Philippe, Musat, Claudiu, Marti, Urs-Viktor, Basler, Max, Rad, Mohammad Saeed, Bozorgtabar, Behzad, Ekenel, Hazim Kemal   +6 more
core   +1 more source

Clustering-oriented Multiple Convolutional Neural Networks for Single Image Super-resolution [PDF]

, 2017
This is the author accepted manuscript. The final version is available from Springer Verlag via the DOI in this record.In contrast to the human visual system (HVS) that applies different processing schemes to visual information of different textural ...
Ren, Peng, Hussain, Amir, Wenjian Sun, Sun, Wenjian, Sun, W, Chunbo Luo, Amir Hussain, Hussain, A, Luo, Chunbo, Peng Ren, Luo, C, Ren, P   +11 more
core   +1 more source

Super-Resolution Imaging [PDF]

, 2019
This chapter examines multiframe image super-resolution in a probabilistic framework. Many multiframe super-resolution algorithms begin by a point estimate of the unknown latent parameters, such as those describing the motion or the blur function. The focus of this chapter is on alternatives to this practice that can yield superior super-resolution ...
Pickup, L, Roberts, S, Zisserman, A, Capel, D   +3 more
openaire   +2 more sources

Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system

Scientific Reports
The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning
Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou   +4 more
doaj   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

Local semi-supervised regression for single-image super-resolution

, 2011
In this paper, we propose a local semi-supervised learning-based algorithm for single-image super-resolution. Different from most of example-based algorithms, the information of test patches is considered during learning local regression functions which ...
Xiaoli Pan, LiLuoqing, Luoqing Li, Li, Xuelong, Yan, P., Pingkun Yan, YuanYuan, Yuan Yuan, Yi Tang, TangYi, Yuan, Y., YanPingkun, Tang, Y., PanXiaoli, Pan, X., Xuelong Li, LiXuelong, Li, L.   +17 more
core   +1 more source

Cross view capture for stereo image super-resolution

, 2021
Stereo image super-resolution exploits additional features from cross view image pairs for high resolution (HR) image reconstruction. Recently, several new methods have been proposed to investigate cross view features along epipolar lines to enhance the ...
Xiangyuan Zhu (10729956), Hui Fang (6064121), Sheng Ren (706807), Kehua Guo (10729959), Liang Chen (73736), Bin Hu (122268)   +5 more
core   +1 more source

Super-Resolution with compressively sensed MR/PET signals at its input

Informatics in Medicine Unlocked, 2020
The aim of this paper is to present a highly effective Magnetic Resonance Imaging- Positron Emission Tomography (MR/PET) image reconstruction strategy allowing for simultaneous resolution enhancing and scanning time minimisation.
Krzysztof Malczewski
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source