Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sebastián Andrés Cajas"'
Autor:
Dana Moukheiber, David Restrepo, Sebastián Andrés Cajas, María Patricia Arbeláez Montoya, Leo Anthony Celi, Kuan-Ting Kuo, Diego M. López, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Juan Sebastian Osorio-Valencia, Saptarshi Purkayastha, Atika Rahman Paddo, Chenwei Wu, Po-Chih Kuo
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract In low- and middle-income countries, the substantial costs associated with traditional data collection pose an obstacle to facilitating decision-making in the field of public health. Satellite imagery offers a potential solution, but the ima
Externí odkaz:
https://doaj.org/article/df18e83f0bd7480d9afbb2d2f2e5c4ac
Autor:
Xie, Kangxian, Huang, Siyu, Ordonez, Sebastian Andres Cajas, Pfister, Hanspeter, Wei, Donglai
Deep-learning models have been successful in biomedical image segmentation. To generalize for real-world deployment, test-time augmentation (TTA) methods are often used to transform the test image into different versions that are hopefully closer to
Externí odkaz:
http://arxiv.org/abs/2310.16783
Autor:
Pedro Astaiza, David Santiago Garcia-Chicangana, Sebastián Andrés Cajas, Diego M. López, Camilo Segura
Publikováno v:
CinC
Heart arrhythmia classification algorithms are an important tool for continuous monitoring of patients at risk. By analyzing 12 ECG-lead signals, these algorithms can help us to diagnose different cardiac diseases. Thus, our team, CardioLux proposes
Publikováno v:
15th International Symposium on Medical Information Processing and Analysis.
Photoplethysmography (PPG) monitoring with wrist-wearable devices appears as a non-invasive method, enabling longterm monitoring of the heart rate and thus, improving arrhythmia detection. The motion artifacts have been shown as a harsh, but an avoid