Articles

Recommendations for Processing Head CT Data

• John Muschelli

Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages

in Alzheimer's Disease and Related Dementias

• Fermín Segovia
• Raquel Sánchez-Vañó
• Juan M. Górriz
• Javier Ramírez
• Pablo Sopena-Novales
• Nathalie Testart Dardel
• Antonio Rodríguez-Fernández
• Manuel Gómez-Río

Relationship Between Cortical Excitability Changes and Cortical Thickness in Subcortical Chronic Stroke

in Stroke

• José A. Graterol Pérez
• Stephanie Guder
• Chi-un Choe
• Christian Gerloff
• Robert Schulz

The normal reference values and estimation formulae of renal structural parameters in Chinese children based on large-sample CT data

in Pediatric Nephrology

• Yong Qin
• En Liu
• Xiaoying Ni
• Zhongxin Huang
• Lu Tian
• Xiaoya He
• Jinhua Cai
• Qiu Li

Automated Identification of Skull Fractures With Deep Learning: A Comparison Between Object Detection and Segmentation Approach

in Applied Neuroimaging

• Wei Shan
• Jianwei Guo
• Xuewei Mao
• Yulei Zhang
• Yikun Huang
• Shuai Wang
• Zixiao Li
• Xia Meng
• Pingye Zhang
• Zhenzhou Wu

The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources

in Computational Physiology and Medicine

• Fengbin Deng
• Changping Mu
• Ling Yang
• Rongqi Yi
• Min Gu
• Kang Li

Computed Tomographic Evaluation of the Sacroiliac Joints of Young Working Labrador Retrievers of Various Work Status Groups: Detected Lesions Vary Among the Different Groups and Finite Element Analyses of the Static Pelvis Yields Repeatable Measures of Sacroiliac Ligament Joint Strain

in Veterinary Humanities and Social Sciences

• Michael Carnevale
• Jeryl Jones
• Gang Li
• Julia Sharp
• Katherine Olson
• William Bridges

Machine Learning Techniques for the Segmentation of Tomographic Image Data of Functional Materials

in Computational Materials Science

• Orkun Furat
• Mingyan Wang
• Matthias Neumann
• Lukas Petrich
• Matthias Weber
• Carl E. Krill
• Volker Schmidt

Potential and limitations of computed tomography images as predictors of the outcome of ischemic stroke events: a review

in Mechanisms, Models, and Biomarkers of Stroke

• Gonçalo Oliveira
• Ana Catarina Fonseca
• José M. Ferro
• Arlindo L. Oliveira

Toward an “Ancient” Virtual World: Improvement Methods on X-ray CT Data Processing and Virtual Reconstruction of Fossil Skulls

in Paleontology

• Alejandro Pérez-Ramos
• Borja Figueirido

Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution

• Huidi Jia
• Xi'ai Chen
• Zhi Han
• Baichen Liu
• Tianhui Wen
• Yandong Tang

Bone Stress-Strain State Evaluation Using CT Based FEM

in Biomechanical Engineering

• Oleg V. Gerasimov
• Nikita V. Kharin
• Artur O. Fedyanin
• Pavel V. Bolshakov
• Maxim E. Baltin
• Evgeny O. Statsenko
• Filip O. Fadeev
• Rustem R. Islamov
• Tatyana V. Baltina
• Oskar A. Sachenkov

Computed tomographic angular measurements using a bone-centered three-dimensional coordinate system are accurate in a femoral torsional deformity model and precise in clinical canine patients

in Veterinary Imaging

• Andreas Brühschwein
• Bronson Schmitz
• Martin Zöllner
• Sven Reese
• Andrea Meyer-Lindenberg

Segmentation methods for quantifying X-ray Computed Tomography based biomarkers to assess hip fracture risk: a systematic literature review

in Biomechanics

• Cristina Falcinelli
• Vee San Cheong
• Lotta Maria Ellingsen
• Benedikt Helgason

Generalization vs. Specificity: In Which Cases Should a Clinic Train its Own Segmentation Models?

in Cancer Imaging and Image-directed Interventions

• Jan Schreier
• Francesca Attanasi
• Hannu Laaksonen

Development and Validation of a Statistical Shape Modeling-Based Finite Element Model of the Cervical Spine Under Low-Level Multiple Direction Loading Conditions

in Biomechanics

• Todd L. Bredbenner
• Travis D. Eliason
• W. Loren Francis
• John M. McFarland
• Andrew C. Merkle
• Daniel P. Nicolella