Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Beizaee, A."'
Autor:
Bahri, Ali, Yazdanpanah, Moslem, Noori, Mehrdad, Oghani, Sahar Dastani, Cheraghalikhani, Milad, Osowiech, David, Beizaee, Farzad, vargas-hakim, Gustavo adolfo., Ayed, Ismail Ben, Desrosiers, Christian
Test-Time Adaptation (TTA) addresses distribution shifts during testing by adapting a pretrained model without access to source data. In this work, we propose a novel TTA approach for 3D point cloud classification, combining sampling variation with w
Externí odkaz:
http://arxiv.org/abs/2411.01116
Autor:
Beizaee, Farzad, Lodygensky, Gregory A., Adamson, Chris L., Thompso, Deanne K., Cheon, Jeanie L. Y., Anderso, Alicia J. Spittl. Peter J., Desrosier, Christian, Dolz, Jose
Lack of standardization and various intrinsic parameters for magnetic resonance (MR) image acquisition results in heterogeneous images across different sites and devices, which adversely affects the generalization of deep neural networks. To alleviat
Externí odkaz:
http://arxiv.org/abs/2407.15717
Autor:
Osowiechi, David, Noori, Mehrdad, Hakim, Gustavo Adolfo Vargas, Yazdanpanah, Moslem, Bahri, Ali, Cheraghalikhani, Milad, Dastani, Sahar, Beizaee, Farzad, Ayed, Ismail Ben, Desrosiers, Christian
Vision-Language Models (VLMs) such as CLIP have yielded unprecedented performance for zero-shot image classification, yet their generalization capability may still be seriously challenged when confronted to domain shifts. In response, we present Weig
Externí odkaz:
http://arxiv.org/abs/2406.13875
Autor:
Bahri, Ali, Yazdanpanah, Moslem, Noori, Mehrdad, Cheraghalikhani, Milad, Hakim, Gustavo Adolfo Vargas, Osowiechi, David, Beizaee, Farzad, Ayed, Ismail Ben, Desrosiers, Christian
We introduce a pioneering approach to self-supervised learning for point clouds, employing a geometrically informed mask selection strategy called GeoMask3D (GM3D) to boost the efficiency of Masked Auto Encoders (MAE). Unlike the conventional method
Externí odkaz:
http://arxiv.org/abs/2405.12419
In this paper, we propose an unsupervised framework based on normalizing flows that harmonizes MR images to mimic the distribution of the source domain. The proposed framework consists of three steps. First, a shallow harmonizer network is trained to
Externí odkaz:
http://arxiv.org/abs/2301.11551
Autor:
Jo Barnes, Kevin Morgan, Iuliana Hartescu, Arash Beizaee, Kevin Lomas, Victoria Haines, Zoe Zambelli, Monisha Ravikumar, Vincenzo Rossi
Publikováno v:
BMJ Open, Vol 14, Iss 7 (2024)
Introduction Quality sleep is essential to our health and well-being. Summertime temperatures in the bedrooms of homes in temperate climates are increasing, especially in city apartments. There is very little empirical evidence of the effect of tempe
Externí odkaz:
https://doaj.org/article/f199b14948784e5a86198c1210cc7f90
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Neonatal MRIs are used increasingly in preterm infants. However, it is not always feasible to analyze this data. Having a tool that assesses brain maturation during this period of extraordinary changes would be immensely helpful. Approaches
Externí odkaz:
https://doaj.org/article/55a929f521894ccea82e1344608765fa
P49 Assessing sleep quality and thermal comfort in real bedrooms: towards a standardised methodology
Publikováno v:
BMJ Open Respiratory Research, Vol 10, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/d8260965be41442a8e244e1446aefe7b
Publikováno v:
In Building and Environment 15 April 2023 234
Autor:
Vázquez-Torres, Claudia Eréndira, Bienvenido-Huertas, David, Beizaee, Arash, Bassam, A., Torres, M. Jiménez
Publikováno v:
In Energy for Sustainable Development February 2023 72:100-113