|
|
|
|
|
François Legrand, Richard Macwan, Alain Lalande, Lisa Métairie and Thomas Decourselle
Automated Cardiac Magnetic Resonance segmentation serves as a crucial tool for the evaluation of cardiac function, facilitating faster clinical assessments that prove advantageous for both practitioners and patients alike. Recent studies have predominant...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kenneth Lange
The Hausdorff distance between two closed sets has important theoretical and practical applications. Yet apart from finite point clouds, there appear to be no generic algorithms for computing this quantity. Because many infinite sets are defined by algeb...
ver más
|
|
|
|
|
|
|
|
|
|
|
Renata Duraciová
The mutual identification of spatial objects is a fundamental issue when updating geographic data with other data sets. Representations of spatial objects in different sources may not have the same identifiers, which would unambiguously assign them to ea...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Chekroun, Youssef Mourchid, Igor Bessières and Alain Lalande
The advent of the 0.35 T MR-Linac (MRIdian, ViewRay) system in radiation therapy allows precise tumor targeting for moving lesions. However, the lack of an automatic volume segmentation function in the MR-Linac?s treatment planning system poses a challen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Emmanouil Koutoulakis, Louis Marage, Emmanouil Markodimitrakis, Leone Aubignac, Catherine Jenny, Igor Bessieres and Alain Lalande
MR-Linac is a recent device combining a linear accelerator with an MRI scanner. The improved soft tissue contrast of MR images is used for optimum delineation of tumors or organs at risk (OARs) and precise treatment delivery. Automatic segmentation of OA...
ver más
|
|
|
|
|
|
|
|
|
|
|
Reza Hosseini, Daoqin Tong, Samsung Lim, Qian Chayn Sun, Gunho Sohn, Gyözö Gidófalvi, Abbas Alimohammadi and Seyedehsan Seyedabrishami
Unlike car navigation, where almost all vehicles can traverse every route, one route might not be optimal or even suitable for all pedestrians. Route geometry information, including tortuosity, twists and turns along roads, junctions, and road slopes, am...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martin Schorcht, Robert Hecht and Gotthard Meinel
We compare different matching methods for distinguishing building modifications from replacements based on multi-temporal building footprint geometries from 3D city models. Manually referenced footprints of building changes were used to determine which t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiawei Zhang, Xin Zhao, Tao Jiang, Md Mamunur Rahaman, Yudong Yao, Yu-Hao Lin, Jinghua Zhang, Ao Pan, Marcin Grzegorzek and Chen Li
This paper proposes a novel pixel interval down-sampling network (PID-Net) for dense tiny object (yeast cells) counting tasks with higher accuracy. The PID-Net is an end-to-end convolutional neural network (CNN) model with an encoder?decoder architecture...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoli Liu and Xiaorong Cheng
To address the problem of a low accuracy and blurred boundaries in segmenting multimodal brain tumor images using the TransBTS network, a 3D BCS_T model incorporating a channel space attention mechanism is proposed. Firstly, the TransBTS model hierarchy ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Liu, Yong Zhang, Yue Hu, Yongming Wang, Jingyi Sun and Xiaoxiao Dong
A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and anomaly detection. A hybrid clustering model was proposed to increase the efficiency of trajectory clustering in the port area and analyze the maritime traf...
ver más
|
|
|
|
|
|