Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ghadiri, Farnoosh"'
Autor:
Hosseinimanesh, Golriz, Ghadiri, Farnoosh, Alsheghri, Ammar, Zhang, Ying, Keren, Julia, Cheriet, Farida, Guibault, Francois
Designing a synthetic crown is a time-consuming, inconsistent, and labor-intensive process. In this work, we present a fully automatic method that not only learns human design dental crowns, but also improves the consistency, functionality, and esthe
Externí odkaz:
http://arxiv.org/abs/2303.02426
Autor:
Alsheghri, Ammar, Ghadiri, Farnoosh, Zhang, Ying, Lessard, Olivier, Keren, Julia, Cheriet, Farida, Guibault, Francois
Publikováno v:
In Medical Imaging 2022: Image Processing (Vol. 12032, pp. 766-771). SPIE 2022
Teeth segmentation is an important topic in dental restorations that is essential for crown generation, diagnosis, and treatment planning. In the dental field, the variability of input data is high and there are no publicly available 3D dental arch d
Externí odkaz:
http://arxiv.org/abs/2208.05539
Autor:
Ghadiri, Farnoosh
La détection des objets transportés est un des prérequis pour développer des systèmes qui cherchent à comprendre les activités impliquant des personnes et des objets. Cette thèse présente de nouvelles méthodes pour détecter et segmenter le
Externí odkaz:
https://hdl.handle.net/20.500.11794/30948
Autor:
Beckham, Christopher, Honari, Sina, Verma, Vikas, Lamb, Alex, Ghadiri, Farnoosh, Hjelm, R Devon, Bengio, Yoshua, Pal, Christopher
In this paper, we explore new approaches to combining information encoded within the learned representations of auto-encoders. We explore models that are capable of combining the attributes of multiple inputs such that a resynthesised output is train
Externí odkaz:
http://arxiv.org/abs/1903.02709
Detecting carried objects is one of the requirements for developing systems to reason about activities involving people and objects. We present an approach to detect carried objects from a single video frame with a novel method that incorporates feat
Externí odkaz:
http://arxiv.org/abs/1801.03551
Optic disk segmentation is a prerequisite step in automatic retinal screening systems. In this paper, we propose an algorithm for optic disk segmentation based on a local adaptive thresholding method. Location of the optic disk is validated by intens
Externí odkaz:
http://arxiv.org/abs/1710.05104
Publikováno v:
In Pattern Recognition May 2019 89:134-150
Autor:
Yu, Lifeng, Fahrig, Rebecca, Sabol, John M., Hosseinimanesh, Golriz, Ghadiri, Farnoosh, Alsheghri, Ammar, Zhang, Ying, Keren, Julia, Cheriet, Farida, Guibault, Francois
Publikováno v:
Proceedings of SPIE; April 2023, Vol. 12463 Issue: 1 p124633R-124633R-8, 1121706p
Autor:
Colliot, Olivier, Išgum, Ivana, Alsheghri, Ammar, Ghadiri, Farnoosh, Zhang, Ying, Lessard, Olivier, Keren, Julia, Cheriet, Farida, Guibault, François
Publikováno v:
Proceedings of SPIE; April 2022, Vol. 12032 Issue: 1 p120322W-120322W-6, 1082905p
Publikováno v:
Computer Vision - ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VII; 2016, p852-866, 15p