Results 191 to 200 of about 108,209 (253)

Forecasting provincial agricultural output value in China via multiple nighttime light indices and neural networks. [PDF]

Sci Rep
Yang R, Zhou Q, Xu L, Zhao Z, Zhang Y, Wei T.   +5 more
europepmc   +1 more source

Identification of interaction, surface species and anticorrosion potency for adsorption of myrrh extract on 330 stainless steel in 1 M HCl solution. [PDF]

RSC Adv
Toghan A, Fakeeh M, Fawzy A, Gadow HS.
europepmc   +1 more source

MR elastography datasets including phantom, liver, and brain. [PDF]

Sci Data
Feng Y, Qiu S, Wang R, Ma S, Yan F, Yang GZ.   +5 more
europepmc   +1 more source

Noninvasive strategies for metabolic dysfunction-associated steatotic liver disease assessment and referral in Japan. [PDF]

World J Gastroenterol
Kamada Y, Sumida Y, Takahashi H, Ishiba H, Kawanaka M, Tada T, Yoneda M, Imajo K, Seko Y, Fujii H, Nakajima A.   +10 more
europepmc   +1 more source

Prognostic Value of Enterography Findings in Crohn's Disease: A Systematic Review and Meta-Analysis. [PDF]

J Imaging
Montevechi-Luz F, Pansani AHC, Mello JDC, de Paula AEC, Genaro LM, Mazzaro MC, Lahan-Martins D, Leal RF.   +7 more
europepmc   +1 more source

Single-distance, phase-only frequency-domain NIRS for vascular oxygenation and tissue metabolism: a Monte Carlo simulation study. [PDF]

J Biomed Opt
Faiyazuddin M, Tang H, Hu Y, Bartlett M, Nelson MD, Liu H.   +5 more
europepmc   +1 more source

Children’s Health: Breastfeeding: Nature’s MRE

Environmental Health Perspectives, 2006
openaire   +1 more source

Detection and severity stratification of chronic liver disease using magnetic resonance intravoxel incoherent motion and elastography. [PDF]

Radiol Adv
Catucci D, von Daeniken SU, Obmann VC, Berzigotti A, Ebner L, Heverhagen JT, Christe A, Vermathen P, Huber AT.   +8 more
europepmc   +1 more source

Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study.

JMIR Med Inform
Su PY, Shih HJ, Xu JL.
europepmc   +1 more source

Accuracy and reliability of 3D cephalometric landmark detection with deep learning. [PDF]

Eur J Med Res
Liu B, Liu C, Xiong Y, Zhu H, Zeng W, Chen J, Guo J, Liu W, Tang W.   +8 more
europepmc   +1 more source