Results 141 to 150 of about 275,635 (230)

Application of diffusion kurtosis imaging in differentiating T0-T1 from T2 rectal tumors. [PDF]

Cancer Imaging
Ma YR, Zhang ZW, Wen ZQ, Cai XN, Wu XH, Que YT, Fan WJ, Liu QM, Liu YY, Yu SP, Chen Y.   +10 more
europepmc   +1 more source

Numerical Signature Dataset of Curculionidae and Tenebrionidae Beetle Fragments for ML Identification. [PDF]

Sci Data
Serfa Juan RO, Gerken AR.
europepmc   +1 more source

MRI investigation of orientation-dependent changes in microstructure and function in a mouse model of mild traumatic brain injury. [PDF]

Acta Neuropathol Commun
Eed A, Hamilton J, Xu X, Geremia N, Prado VF, Prado MAM, Baron CA, Menon RS, Brown A.   +8 more
europepmc   +1 more source

Diffusion kurtosis imaging in acute ischemic stroke: A systematic review of clinical correlations and prognostic utility. [PDF]

Neuroradiology
Pires T, Priyanka, Solomon JM, Kadavigere R, Pendem S, P S P, Shetty NA.   +6 more
europepmc   +1 more source

Applying Radiomics to Predict Outcomes in Patients with High-Grade Retroperitoneal Sarcoma Treated with Preoperative Radiotherapy. [PDF]

J Imaging
Shahnam A, Hardcastle N, Gyorki DE, Ingley KM, Tran K, Mitchell C, Chander S, Chu J, Henderson M, Herschtal A, Bressel M, Lewin J.   +11 more
europepmc   +1 more source

A Quantitative Analysis of Kurtosis Impact on Occupational Complex Noise-Induced Hearing Loss. [PDF]

Am J Ind Med
Gong W, Byrne DC, Themann CL, Feng HA.
europepmc   +1 more source

Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry. [PDF]

J Neuroimaging
Kopřivová T, Dostál M, Jůza T, Vybíhal V, Ovesná P, Kozubek M, Keřkovský M.   +6 more
europepmc   +1 more source

Structural brain changes in subacute spinal cord injury: an analysis of diffusion kurtosis imaging and diffusion tensor imaging metrics with clinical correlation. [PDF]

Front Neurosci
Christiaanse E, Sritharan J, Wyss PO, Scheel-Sailer A, Leemans A, Verma RK, De Luca A, Zito GA.   +7 more
europepmc   +1 more source

Application of machine learning algorithms for groundwater level prediction in the Najafabad plain. [PDF]

Sci Rep
Davari S, Eslamian S, Jamali M, Safavi HR.   +3 more
europepmc   +1 more source