Author of the publication

A hybrid method to study flow-induced deformation of three-dimensional capsules

, , , and . Journal of Computational Physics, 227 (12): 6351--6371 (June 2008)
DOI: 10.1016/j.jcp.2008.03.017

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A hybrid method to study flow-induced deformation of three-dimensional capsules, , , and . Journal of Computational Physics, 227 (12): 6351--6371 (June 2008)Transient deformation of elastic capsules in shear flow: Effect of membrane bending stiffness, , , , and . Physical Review E, 75 (6): 1--10 (June 2007)Inertia effect on the transient deformation of elastic capsules in simple shear flow, , , and . Computers & Fluids, 38 (1): 49--59 (January 2009)Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration., , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132Z. SPIE, (2020)MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing., , , , , , , , , and 6 other author(s). CoRR, (2023)Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning., , , , , , , , and . MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 11-20. Springer, (2022)Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)