Results 161 to 170 of about 15,210 (256)

The Cord Weekly (February 7, 2001) [PDF]

, 2001

core   +1 more source

SUMOylation regulates tumorigenesis and progression: Molecular mechanisms and therapeutic applications

Interdisciplinary Medicine, EarlyView.
SUMOylation, a dynamic post‐translational modification, acts as a master regulator at the heart of tumor malignancy. Our work delineates how the SUMOylation cycle—mediated by E1/E2/E3 enzymes and reversed by SENPs—orchestrates multiple hallmarks of cancer. The central pathway converges on three critical pathological axes: 1.
Yimao Wu, Zichang Chen, Yinting Hu, Gokhan Zengin, Qian Zhang, Meng‐Yao Li, Wenlong Sun   +6 more
wiley   +1 more source

WISeRKNet: wide slice residual Kronecker network for lung cancer detection based on CT images. [PDF]

Sci Rep
Shanthi A, Satheesh Kumar S, Koppu S.
europepmc   +1 more source

A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic resonance fingerprinting (MRF) is an emerging quantitative imaging technique that enables multiparametric tissue characterization, but its adoption has been hindered by the complexity of data acquisition and post‐processing. These technical and implementation challenges have limited its broader clinical deployment.
Rasim Boyacioglu, Thomas Kluge, Guido Buonincontri, Wei‐Ching Lo, Stephan Kannengiesser, Mathias Nittka, Arashdeep Kaur, Andrew Dupuis, Dan Ma, Chaitra Badve, Mark A. Griswold, Yong Chen   +11 more
wiley   +1 more source

Explaining attractive and repulsive biases in the subjective visual vertical. [PDF]

PLoS Comput Biol
Glasauer S, Medendorp WP.
europepmc   +1 more source

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. Purpose To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and variability of radiomic features in abdominal MRI. Study Type Prospective.
Jingyu Zhong, Yue Xing, Yangfan Hu, Xianwei Liu, Shun Dai, Defang Ding, Junjie Lu, Jiarui Yang, Yue Li, Yang Song, Minda Lu, Dominik Nickel, Wenjie Lu, Huan Zhang, Weiwu Yao   +14 more
wiley   +1 more source

Prevalence of self-reported symptoms of reproductive tract infections and promoting an awareness of reproductive health among adolescent girls through education approach in Kumbakonam rural region of Tamil Nadu state. [PDF]

J Family Med Prim Care
Balamurugan PP, Praveen V, Kolli B.
europepmc   +1 more source

Characterization of Pulmonary Functional Abnormalities in Systemic Sclerosis Using Xenon MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Xenon MRI is increasingly used to evaluate patients with interstitial lung disease (ILD) and pulmonary hypertension (PH), both of which are common manifestations of systemic sclerosis (SSc). As such, Xe‐MRI may be suited to interrogate lung function impairment in SSc.
Dawson Shaver, Steven Haworth, Evan Graumann, Bradie Frizzell, David H. Lee, Jiwoong Choi, Chase S. Hall, Scott M. Matson, Mark Hamblin, Mario Castro, Paul S. Schmidt, Peter J. Niedbalski   +11 more
wiley   +1 more source

Postexercise Lactate Clearance, T₂ Relaxation, and J-Modulation in Human Skeletal Muscle Measured With Double-Quantum Filtered ¹H MRS at 7 T. [PDF]

Magn Reson Med
Repnin K, Rocha Dos Santos VR, Cap V, Frass-Kriegl R, Trattnig S, Kemp GJ, Meyerspeer M.   +6 more
europepmc   +1 more source

ꟻLIP‐Based Perceptual Optimization for Subpixel Rendering Filters

Journal of the Society for Information Display, EarlyView.
We propose a two‐stage subpixel rendering framework combining MMSE‐based initialization and ꟻLIP‐guided perceptual optimization. The kernel is refined by minimizing the mean ꟻLIP error using a Nelder‐Mead optimizer to reduce perceptual distortion beyond RGB‐based methods.
Bo‐Jyun Chen, Yu‐Kuo Cheng, Chung‐Hao Tien, Jin‐Shing Tseng, Chih‐Hao Lin   +4 more
wiley   +1 more source