Results 241 to 250 of about 456,396 (268)

Evaluating the relationship between magnetic resonance image quality metrics and deep learning-based segmentation accuracy of brain tumors. [PDF]

Med Phys
Muthusivarajan R, Celaya A, Yung JP, Long JP, Viswanath SE, Marcus DS, Chung C, Fuentes D.   +7 more
europepmc   +1 more source

Segmentation of magnetic resonance images using a combination of neural networks and active contour models

, 2004
Damper, R. I., Middleton, I.
core  

Automated Scoring of Alzheimer's Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation. [PDF]

J Alzheimers Dis Rep
Choe YS, Kim REY, Kim HW, Kim J, Lee H, Lee MK, Lee M, Kim KY, Kim SH, Kim JH, Lee JY, Kim E, Kim D, Lim HK.   +13 more
europepmc   +1 more source

[Cardiac magnetic resonance image segmentation based on lightweight network and knowledge distillation strategy]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Liu Z, Wang N, Zhang C, Wei G.
europepmc   +1 more source

Volume of Enlarged White Matter of Thalamus among Individuals with Depression on Magnetic Resonance Image: A Study of BrainSuite Segmentation.

J Pharm Bioallied Sci
Alarifi A, Taha KM, Elamin AY, Almasaad JM, Bakhit NM, Alsharif MHK.   +5 more
europepmc   +1 more source

Magnetic resonance tissue density estimation using optimal SSFP pulse-sequence design.

Anand, C., Sotirov, R., Zheng, Z., Terlaky, T.   +3 more
core  

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Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hall, X Allen Li, Beth Erickson   +2 more
exaly  

Blind image quality assessment of magnetic resonance images with statistics of local intensity extrema

Information Sciences, 2022
Mariusz Oszust, Marzena Bielecka, Andrzej Bielecki   +2 more
exaly