Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection-Reference-Cited by-同舟云学术

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

Published:2022-06 Issue: Volume:219 Page:106783
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

López-Pérez Miguel^ORCID,Schmidt Arne^ORCID,Wu Yunan,Molina Rafael^ORCID,Katsaggelos Aggelos K.

Funder

Horizon 2020 Marie Skłodowska-Curie Actions

Gobierno de España Ministerio de Ciencia e Innovación

Junta de Andalucía Consejería de Transformación Económica Industria Conocimiento y Universidades

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference34 articles.

1. Mild traumatic brain injury: toward understanding manifestations and treatment;Kushner;Arch. Intern. Med.,1998

2. Intracranial hemorrhage;Caceres;Emerg. Med. Clin. North Am.,2012

3. Traumatic brain injury-related emergency department visits, hospitalizations, and deaths – United States, 2007 and 2013;Taylor;Surveill. Summ.,2017

4. Overnight preliminary head CT interpretations provided by residents: locations of misidentified intracranial hemorrhage;Strub;Am. J. Neuroradiol.,2007

5. Radiology resident evaluation of head CT scan orders in the emergency department;Erly;Am. J. Neuroradiol.,2002

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection;Engineering Applications of Artificial Intelligence;2024-07

2. Cloud based Stacking and Bending Ensemble Approach for the classification of Brain Haemorrhage using Meta Diverse Model;2024-06-24

3. Optimal Ensemble Transfer Learning Espoused Detection and Classification of Intracranial Haemorrhage;IETE Journal of Research;2024-06-10

4. Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection;Artificial Intelligence;2024-06

5. Dual path sub-type diagnostic model based on the anatomic morphological feature;Biomedical Signal Processing and Control;2024-04