Results 81 to 90 of about 4,405,442 (293)

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Corrigendum: Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and Repeatability

Frontiers in Neurology, 2022
Yang Wang, Junkai Zhu, Jinli Zhao, Wenyi Li, Xin Zhang, Xiaolin Meng, Taige Chen, Ming Li, Meiping Ye, Renfang Hu, Shidan Dou, Huayin Hao, Xiaofen Zhao, Xiaoming Wu, Wei Hu, Cheng Li, Xiaole Fan, Liyun Jiang, Xiaofan Lu, Fangrong Yan   +19 more
doaj   +1 more source

Fast GMTI Algorithm For Traffic Monitoring Based On A Priori Knowledge [PDF]

, 2012
In this paper a fast a priori knowledge-based ground moving target indication and parameter estimation algorithm applicable to single- as well as to multi-channel synthetic aperture airborne radar data is presented.
Baumgartner, Stefan Valentin, Krieger, Gerhard   +1 more
core   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging

International Journal of Antennas and Propagation, 2019
Multiview through-the-wall radar imaging (TWRI) can improve the imaging quality and target detection by exploiting the measurement data acquired from various views.
Lele Qu, Shimiao An, Yanpeng Sun
doaj   +1 more source

Motion and disparity estimation with self adapted evolutionary strategy in 3D video coding [PDF]

, 2007
Real world information, obtained by humans is three dimensional (3-D). In experimental user-trials, subjective assessments have clearly demonstrated the increased impact of 3-D pictures compared to conventional flat-picture techniques. It is reasonable,
Adedoyin, S, Fernando, WAC, Kondoz, KM, Aggoun, A   +3 more
core   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Clinical Application of Deep Learning for Spine MRI Interpretation: A Multicenter Evaluation of Artificial-Intelligence-Assisted versus Manual Reading on Diagnostic Agreement with the Reference Standard

Research
Lumbar spine diseases substantially impact the patients’ quality of life, necessitating accurate and efficient diagnostic tools. This study presents Lumbar VNet Pro (LVP), the first real-time artificial-intelligence (AI)-assisted system embedded within ...
Xing Cheng, Maoping Zhang, Zhenxiao Ren, Tang Tang, Xiaolin Meng, Zhong Huang, Hongwei Bran Li, Weiguo Li, Qiuchan Yan, Haixiong Chen, Jie Jia, Ce Wang, Cheng Li, Chunshan Yang, Guifeng Shi, Guohua Li, Kaixin Zeng, Wei Chen, Haoxuan Gao, Xiaobo Wang, Xin Zheng, Yang Wang   +21 more
doaj   +1 more source

An algorithm for image quality assessment

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
The paper presents a novel algorithm for image quality assessment. First, a simple model of the human visual system, consisting of a nonlinear function and a 2D filter, processes the input images. This filter has one user-defined parameter, whose value depends on the reference image.
Goran Ivkovic, Ravi Sankar
openaire   +2 more sources

SIREV - Sector Imaging Radar for Enhanced Vision [PDF]

, 2001
SIREV (Sector Imaging Radar for Enhanced Vision) is an innovative radar system which can supply high-quality images of a sector in front of an aircraft under almost every weather condition.
Witte, Franz, Mittermayer, Josef, Wendler, Michael, Moreira, Alberto, Krieger, Gerhard   +4 more
core