Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Graph-based deep learning for medical diagnosis and analysis: past, present and future
With the advances of data-driven machine learning research, a wide variety of prediction
problems have been tackled. It has become critical to explore how machine learning and …
problems have been tackled. It has become critical to explore how machine learning and …
Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data
People spend a substantial part of their lives at rest in bed. 3D human pose and shape
estimation for this activity would have numerous beneficial applications, yet line-of-sight …
estimation for this activity would have numerous beneficial applications, yet line-of-sight …
Machine learning and physics: A survey of integrated models
A Seyyedi, M Bohlouli, SN Oskoee - ACM Computing Surveys, 2023 - dl.acm.org
Predictive modeling of various systems around the world is extremely essential from the
physics and engineering perspectives. The recognition of different systems and the capacity …
physics and engineering perspectives. The recognition of different systems and the capacity …
Human posture recognition using a hybrid of fuzzy logic and machine learning approaches
W Ren, O Ma, H Ji, X Liu - IEEE Access, 2020 - ieeexplore.ieee.org
An autonomous assistive robot needs to recognize the body-limb posture of the person
being assisted while he/she is lying in a bed to provide care services such as helping …
being assisted while he/she is lying in a bed to provide care services such as helping …
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
A Bigalke, L Hansen, J Diesel, C Hennigs… - Medical Image …, 2023 - Elsevier
Abstract 3D human pose estimation is a key component of clinical monitoring systems. The
clinical applicability of deep pose estimation models, however, is limited by their poor …
clinical applicability of deep pose estimation models, however, is limited by their poor …
Simultaneously-collected multimodal lying pose dataset: Enabling in-bed human pose monitoring
Computer vision field has achieved great success in interpreting semantic meanings from
images, yet its algorithms can be brittle for tasks with adverse vision conditions and the ones …
images, yet its algorithms can be brittle for tasks with adverse vision conditions and the ones …
A real-time patient-specific sleeping posture recognition system using pressure sensitive conductive sheet and transfer learning
Sleeping is an indispensable activity of human beings. Sleeping postures have a significant
effect on sleeping quality and health. A real-time low-cost sleeping posture recognition …
effect on sleeping quality and health. A real-time low-cost sleeping posture recognition …
Towards contactless patient positioning
The ongoing COVID-19 pandemic, caused by the highly contagious SARS-CoV-2 virus, has
overwhelmed healthcare systems worldwide, putting medical professionals at a high risk of …
overwhelmed healthcare systems worldwide, putting medical professionals at a high risk of …
Bodypressure-inferring body pose and contact pressure from a depth image
Contact pressure between the human body and its surroundings has important implications.
For example, it plays a role in comfort, safety, posture, and health. We present a method that …
For example, it plays a role in comfort, safety, posture, and health. We present a method that …