Dehmeshki, J.
* 1995: Classification of Coal Images by a Multi-Scale Segmentation Techniques
* 1999: adaptive segmentation and 3-D visualisation of the lungs, An
* 2002: Classification of disease subgroup and correlation with disease severity using magnetic resonance imaging whole-brain histograms: application to magnetization transfer ratios and multiple sclerosis
* 2003: Shape based region growing using derivatives of 3D medical images: application to semi-automated detection of pulmonary nodules
* 2007: Smooth and Stable Fly-Through Scheme for Virtual Navigation of 3D CT Colonography, A
* 2007: Volumetric Quantification of Atherosclerotic Plaque in CT Considering Partial Volume Effect
* 2008: Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach
* 2012: Segmentation of the Hippocampus for Detection of Alzheimer's Disease
* 2014: Planar Numerical Signature Theory Applied to Object Recognition
* 2021: Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction
Includes: Dehmeshki, J. Dehmeshki, J.[Jamshid]
10 for Dehmeshki, J.
Dehmollaian, M.
* 2008: Refocusing Through Building Walls Using Synthetic Aperture Radar
* 2009: Through-the-Wall Imaging Using Differential SAR
* 2014: Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields
* 2015: Time Reversal Imaging of Deeply Buried Targets Under Moderately Rough Surfaces Using Approximate Transmitted Fields
* 2016: Reconstruction of Concealed Objects in a Corrugated Wall With a Smoothly Varying Roughness Using the Linear Sampling Method
* 2016: Scattering From Layered Rough Surfaces: Analytical and Numerical Investigations
* 2017: Better Estimated IEM Input Parameters Using Random Fractal Geometry Applied on Multi-Frequency SAR Data
* 2018: Iterative Modified Diffraction Tomography Method for Reconstruction of a High-Contrast Buried Object, An
Includes: Dehmollaian, M. Dehmollaian, M.[Mojtaba]
8 for Dehmollaian, M.