Results 181 to 190 of about 1,683,057 (326)

CPL-IQA: Blind Image Quality Assessment via Convolutional Prototype Learning

Hui Wang, Guangcheng Wang, Ziyuan Yang, Zexin Lu, Yi Zhang   +4 more
openalex   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

Molecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon, Dong Young Kim, Yuna Kim, Uk‐Il Kim, Jae‐Sung Kim   +4 more
wiley   +1 more source

Development of a Framework for Echocardiographic Image Quality Assessment and Its Application in CRT-D/ICD Patients. [PDF]

J Clin Med
Nazar W, Kaufmann D, Wabich E, Rohun J, Daniłowicz-Szymanowicz L.   +4 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Binocular Rivalry and Fusion-Inspired Hierarchical Complementary Ensemble for No-Reference Stereoscopic Image Quality Assessment. [PDF]

Sensors (Basel)
Tang Y, Jiang S, Xu S, Xiao J, Yu H.
europepmc   +1 more source

Stretchable Ultrasound Metalens for Biomedical Zoom Imaging and Bone Quality Assessment with Subwavelength Resolution (Small 42/2024) [PDF]

Jiajie He, Xue Jiang, Chuanxin Zhang, Ying Li, Chengcheng Liu, Xin Liu, Boyi Li, Huisheng Peng, Dean Ta   +8 more
openalex   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp. [PDF]

PLoS One
Asri MAA, Rajagopal H, Mokhtar N, Wan Mohd Mahiyiddin WA, Lim YAL, Iwahashi M, Harakawa R, Ibrahim F, Ito T.   +8 more
europepmc   +1 more source

Water Quality Assessment by Measuring and Using Landsat 7 ETM+ Images for the Current and Previous Trend Perspective: Lake Tana Ethiopia

, 2017
Mamaru A. Moges, Petra Schmitter, Seifu A. Tilahun, Essays K. Ayana, Atikilt Abebe Ketema, Temsgen E. Nigussie, Tammo S. Steenhuis   +6 more
openalex   +2 more sources