Zobrazeno 1 - 10
of 1 716
pro vyhledávání: '"A. Uppala"'
Autor:
Sirapoom Niamsanit, Rattapon Uppala, Phanthila Sitthikarnkha, Leelawadee Techasatian, Suchaorn Saengnipanthkul, Kaewjai Thepsuthammarat, Sumitr Sutra
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-9 (2024)
Abstract Background Drowning remains a common cause of death among children. However, the epidemiology and impact of drowning in Thailand was underexplored. This study aimed to analyze the epidemiology and clinical outcomes of pediatric drowning in T
Externí odkaz:
https://doaj.org/article/230d26c88ca74b6eb4e27f7120381456
In the rapidly evolving landscape of medical imaging diagnostics, achieving high accuracy while preserving computational efficiency remains a formidable challenge. This work presents \texttt{DeepMediX}, a groundbreaking, resource-efficient model that
Externí odkaz:
http://arxiv.org/abs/2307.00324
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification
The proliferation of deep learning applications in healthcare calls for data aggregation across various institutions, a practice often associated with significant privacy concerns. This concern intensifies in medical image analysis, where privacy-pre
Externí odkaz:
http://arxiv.org/abs/2306.17794
In recent years, deep learning models have revolutionized medical image interpretation, offering substantial improvements in diagnostic accuracy. However, these models often struggle with challenging images where critical features are partially or fu
Externí odkaz:
http://arxiv.org/abs/2306.15574
Autor:
Nampalle, Kishore Babu, Singh, Pradeep, Uppala, Vivek Narayan, Gangwar, Sumit, Negi, Rajesh Singh, Raman, Balasubramanian
In healthcare, accurately classifying medical images is vital, but conventional methods often hinge on medical data with a consistent grid structure, which may restrict their overall performance. Recent medical research has been focused on tweaking t
Externí odkaz:
http://arxiv.org/abs/2305.15426
While OCR has been used in various applications, its output is not always accurate, leading to misfit words. This research work focuses on improving the optical character recognition (OCR) with ML techniques with integration of OCR with long short-te
Externí odkaz:
http://arxiv.org/abs/2304.07637
The recent success of the CLIP model has shown its potential to be applied to a wide range of vision and language tasks. However this only establishes embedding space relationship of language to images, not to the video domain. In this paper, we prop
Externí odkaz:
http://arxiv.org/abs/2303.14584
This research paper focuses on the problem of dynamic objects and their impact on effective motion planning and localization. The paper proposes a two-step process to address this challenge, which involves finding the dynamic objects in the scene usi
Externí odkaz:
http://arxiv.org/abs/2303.10923
Autor:
Rattapon Uppala, Nattapon Seenoikhao, Phanthila Sitthikarnkha, Sirapoom Niamsanit, Suchaorn Saengnipanthkul, Leelawadee Techasatian, Prapassara Sirikarn
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Influenza is a main cause of illnesses during seasonal outbreaks. Identifying children with influenza who may need hospitalization may lead to better influenza outcomes. Objective To identify factors associated with the severity o
Externí odkaz:
https://doaj.org/article/fc9a8dab72d14d5ab8b9eaf3b8929050
Autor:
Uppala Radhakrishna, Rupa Radhakrishnan, Lavanya V. Uppala, Srinivas B. Muvvala, Jignesh Prajapati, Rakesh M. Rawal, Ray O. Bahado-Singh, Senthilkumar Sadhasivam
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
BackgroundNeonatal Opioid Withdrawal Syndrome (NOWS) is a consequence of in-utero exposure to prenatal maternal opioids, resulting in the manifestation of symptoms like irritability, feeding problems, tremors, and withdrawal signs. Opioid use disorde
Externí odkaz:
https://doaj.org/article/0d6254b7eb4640eb8e65161d5031121a