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pro vyhledávání: '"B, Milan"'
Autor:
Zaman, Md Shakil, Dhamala, Jwala, Bajracharya, Pradeep, Sapp, John L., Horacek, B. Milan, Wu, Katherine C., Trayanova, Natalia A., Wang, Linwei
Probabilistic estimation of cardiac electrophysiological model parameters serves an important step towards model personalization and uncertain quantification. The expensive computation associated with these model simulations, however, makes direct Ma
Externí odkaz:
http://arxiv.org/abs/2110.06851
Autor:
Naderi Gharahgheshlagh, Soheila, Ghadimi, Tayyeb, Latifi, Noorahmad, Farokh Forghani, Siamak, B. Milan, Peiman, Hivechi, Ahmad, Hosseinpour Sarmadi, Vahid, Arabsorkhi-Mishabi, Amirhesam, Amini, Naser, Saboury, Mahdy, Larijani, Ghazaleh, Ghasemian, Melina, Ghadimi, Fatemeh, Faghihebadi, Gholamabbas
Publikováno v:
In Materials Today Communications June 2024 39
Publikováno v:
Social Sciences and Humanities Open, Vol 10, Iss , Pp 101158- (2024)
In recent years, efforts to internationalize the curriculum (IoC), including developing new courses or modules explicitly focusing on global issues and cross-cultural communication, have become prevalent. This study explored the perceptions, experien
Externí odkaz:
https://doaj.org/article/78c7be8d635842dd9287e0d60fef5495
Estimation of patient-specific model parameters is important for personalized modeling, although sparse and noisy clinical data can introduce significant uncertainty in the estimated parameter values. This importance source of uncertainty, if left un
Externí odkaz:
http://arxiv.org/abs/2006.01983
The estimation of patient-specific tissue properties in the form of model parameters is important for personalized physiological models. However, these tissue properties are spatially varying across the underlying anatomical model, presenting a signi
Externí odkaz:
http://arxiv.org/abs/2005.07804
Autor:
Gyawali, Prashnna Kumar, Li, Zhiyuan, Knight, Cameron, Ghimire, Sandesh, Horacek, B. Milan, Sapp, John, Wang, Linwei
To improve the ability of VAE to disentangle in the latent space, existing works mostly focus on enforcing independence among the learned latent factors. However, the ability of these models to disentangle often decreases as the complexity of the gen
Externí odkaz:
http://arxiv.org/abs/1909.01839
Personalization of cardiac models involves the optimization of organ tissue properties that vary spatially over the non-Euclidean geometry model of the heart. To represent the high-dimensional (HD) unknown of tissue properties, most existing works re
Externí odkaz:
http://arxiv.org/abs/1907.01406
Autor:
Ghimire, Sandesh, Dhamala, Jwala, Gyawali, Prashnna Kumar, Sapp, John L, Horacek, B. Milan, Wang, Linwei
Publikováno v:
In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 508-516. Springer, Cham, 2018
Noninvasive reconstruction of cardiac transmembrane potential (TMP) from surface electrocardiograms (ECG) involves an ill-posed inverse problem. Model-constrained regularization is powerful for incorporating rich physiological knowledge about spatiot
Externí odkaz:
http://arxiv.org/abs/1905.04803
Autor:
Judiel B. Milan, Henry Lemana II
Publikováno v:
International Journal of Qualitative Research, Vol 2, Iss 3, Pp 238-246 (2023)
The Covid-19 pandemic has disrupted many facets of human existence, including the experiences of the most vulnerable members of society. This study aimed to explore the lived experiences of children with autism spectrum disorder (ASD) during the pand
Externí odkaz:
https://doaj.org/article/6217ed89af3b4a3082fe0ac172908f31
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