Publications by authors named "Morteza Ghahremani"
The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of wheat. This study is the first to segment the point clouds of wheat into defined organs and to analyse their traits directly in 3D space.
View Article and Find Full Text PDFScale-invariance, good localization and robustness to noise and distortions are the main properties that a local feature detector should possess. Most existing local feature detectors find excessive unstable feature points that increase the number of keypoints to be matched and the computational time of the matching step. In this paper, we show that robust and accurate keypoints exist in the specific scale-space domain.
View Article and Find Full Text PDFArticle Synopsis
- High-throughput phenotyping is essential for plant biology but is hindered by the difficult task of extracting meaningful features from imaging data, despite advancements in sensor technologies.
- DeepPod, a new deep learning framework, has been developed to automate the detection and segmentation of plant fruits, facilitating easier and more affordable data collection without needing detailed manual annotation.
- The effectiveness of DeepPod was confirmed through testing, showing a strong correlation (R2 = 0.90) between its predictions and manual fruit counts, making it a valuable tool for biologists studying plant growth and reproduction.
Background: The anatomical axis of the femur is crucial for determining the correct alignment in corrective osteotomies of the knee, total knee arthroplasty (TKA), and retrograde and antegrade femoral intramedullary nailing (IMN). The aim of this study was to propose the concept of different anatomical axes for the proximal and distal parts of the femur; compare these axes in normally aligned subjects and also to propose the clinical application of these axes.
Methods: In this cross-sectional study, the horizontal distances between the anatomical axis of the proximal and distal halves of the femur and the center of the intercondylar notch were measured in 100 normally aligned femurs using standard full length alignment view X-rays.