Zobrazeno 1 - 10
of 753
pro vyhledávání: '"Bzdok Danilo"'
Autor:
Liu, Chen, Xu, Ke, Shen, Liangbo L., Huguet, Guillaume, Wang, Zilong, Tong, Alexander, Bzdok, Danilo, Stewart, Jay, Wang, Jay C., Del Priore, Lucian V., Krishnaswamy, Smita
Advances in medical imaging technologies have enabled the collection of longitudinal images, which involve repeated scanning of the same patients over time, to monitor disease progression. However, predictive modeling of such data remains challenging
Externí odkaz:
http://arxiv.org/abs/2406.14794
Autor:
Hodgson, Liam, Bzdok, Danilo
The multivariate hypergeometric distribution describes sampling without replacement from a discrete population of elements divided into multiple categories. Addressing a gap in the literature, we tackle the challenge of estimating discrete distributi
Externí odkaz:
http://arxiv.org/abs/2402.14220
Autor:
Ghanem, Karam, Bzdok, Danilo
Through Diffusion Models (DMs), we have made significant advances in generating high-quality images. Our exploration of these models delves deeply into their core operational principles by systematically investigating key aspects across various DM ar
Externí odkaz:
http://arxiv.org/abs/2402.13369
Autor:
Carruthers, Robert, Straw, Isabel, Ruffle, James K, Herron, Daniel, Nelson, Amy, Bzdok, Danilo, Fernandez-Reyes, Delmiro, Rees, Geraint, Nachev, Parashkev
Equity is widely held to be fundamental to the ethics of healthcare. In the context of clinical decision-making, it rests on the comparative fidelity of the intelligence -- evidence-based or intuitive -- guiding the management of each individual pati
Externí odkaz:
http://arxiv.org/abs/2207.12043
Most of the existing deep learning based methods for vessel segmentation neglect two important aspects of retinal vessels, one is the orientation information of vessels, and the other is the contextual information of the whole fundus region. In this
Externí odkaz:
http://arxiv.org/abs/2207.11396
Autor:
Williams, Kathleen A., Numssen, Ole, Guerra, Juan David, Kopal, Jakub, Bzdok, Danilo, Hartwigsen, Gesa
Publikováno v:
In Heliyon 15 November 2024 10(21)
High-quality data accumulation is now becoming ubiquitous in the health domain. There is increasing opportunity to exploit rich data from normal subjects to improve supervised estimators in specific diseases with notorious data scarcity. We demonstra
Externí odkaz:
http://arxiv.org/abs/2110.06135
Autor:
Kohler, Robert, Lichenstein, Sarah D., Cheng, Annie, Holmes, Avram, Bzdok, Danilo, Pearlson, Godfrey, Yip, Sarah W.
Publikováno v:
In Biological Psychiatry: Cognitive Neuroscience and Neuroimaging April 2024 9(4):407-416
Publikováno v:
In Neuron 6 March 2024 112(5):698-717
Publikováno v:
In Cell Reports 23 January 2024 43(1)