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A person's Body Mass Index, or BMI, is the most widely used parameter for assessing their health. BMI is a crucial predictor of potential diseases that may arise at higher body fat levels because it is correlated with body fat. Conversely,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 N. T. Diba , N. Akter , S. A. H. Chowdhury , J. E. Giti

Purpose: Body composition is known to be associated with many diseases including diabetes, cancers and cardiovascular diseases. In this paper, we developed a fully automatic body tissue decomposition procedure to segment three major…

Image and Video Processing · Electrical Eng. & Systems 2021-01-27 Yabo Fu , Joseph E. Ippolito , Daniel R. Ludwig , Rehan Nizamuddin , Harold H. Li , Deshan Yang

Purpose: Although elevated BMI is a well-known risk factor for type 2 diabetes, the disease's presence in some lean adults and absence in others with obesity suggests that detailed body composition may uncover abdominal phenotypes of type 2…

Human shape estimation is an important task for video editing, animation and fashion industry. Predicting 3D human body shape from natural images, however, is highly challenging due to factors such as variation in human bodies, clothing and…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Gül Varol , Duygu Ceylan , Bryan Russell , Jimei Yang , Ersin Yumer , Ivan Laptev , Cordelia Schmid

Computer simulation of "virtual interventions" may inform optimal valve repair for a given patient prior to intervention. However, the paucity of noninvasive methods to determine in vivo mechanical parameters of valves limits the accuracy…

Quantitative Methods · Quantitative Biology 2025-07-09 Wensi Wu , Mitchell Daneker , Christian Herz , Hannah Dewey , Jeffrey A. Weiss , Alison M. Pouch , Lu Lu , Matthew A. Jolley

Monitoring maternal and fetal health during pregnancy is crucial for preventing adverse outcomes. While tests such as ultrasound scans offer high accuracy, they can be costly and inconvenient. Telehealth and more accessible body shape…

Background: Recent studies have used basic epicardial adipose tissue (EAT) assessments (e.g., volume and mean HU) to predict risk of atherosclerosis-related, major adverse cardiovascular events (MACE). Objectives: Create novel, hand-crafted…

Quantitative Methods · Quantitative Biology 2024-01-31 Tao Hu , Joshua Freeze , Prerna Singh , Justin Kim , Yingnan Song , Hao Wu , Juhwan Lee , Sadeer Al-Kindi , Sanjay Rajagopalan , David L. Wilson , Ammar Hoori

Magnetic resonance imaging (MRI) of thigh and calf muscles is one of the most effective techniques for estimating fat infiltration into muscular dystrophies. The infiltration of adipose tissue into the diseased muscle region varies in its…

Image and Video Processing · Electrical Eng. & Systems 2019-10-14 Rula Amer , Jannette Nassar , David Bendahan , Hayit Greenspan , Noam Ben-Eliezer

3D mesh segmentation is an important task with many biomedical applications. The human body has bilateral symmetry and some variations in organ positions. It allows us to expect a positive effect of rotation and inversion invariant layers…

Image and Video Processing · Electrical Eng. & Systems 2023-11-07 Vladislav Dordiuk , Maksim Dzhigil , Konstantin Ushenin

The deposits of fat on the surroundings of the heart are correlated to several health risk factors such as atherosclerosis, carotid stiffness, coronary artery calcification, atrial fibrillation and many others. These deposits vary unrelated…

Image and Video Processing · Electrical Eng. & Systems 2021-12-22 Érick Oliveira Rodrigues , FFC Morais , NAOS Morais , LS Conci , LV Neto , Aura Conci

Purpose: Body composition measurements from routine abdominal CT can yield personalized risk assessments for asymptomatic and diseased patients. In particular, attenuation and volume measures of muscle and fat are associated with important…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Benjamin Hou , Tejas Sudharshan Mathai , Jianfei Liu , Christopher Parnell , Ronald M. Summers

Body-Mass-Index (BMI) conveys important information about one's life such as health and socio-economic conditions. Large-scale automatic estimation of BMIs can help predict several societal behaviors such as health, job opportunities,…

Computer Vision and Pattern Recognition · Computer Science 2021-04-26 Nadeem Yousaf , Sarfaraz Hussein , Waqas Sultani

Self-diagnostic image-based methods for healthy weight monitoring is gaining increased interest following the alarming trend of obesity. Only a handful of academic studies exist that investigate AI-based methods for Body Mass Index (BMI)…

Computer Vision and Pattern Recognition · Computer Science 2020-10-16 Hera Siddiqui , Ajita Rattani , Dakshina Ranjan Kisku , Tanner Dean

Accurately predicting the 3D human posture and the pressure exerted on the body for people resting in bed, visualized as a body mesh (3D pose & shape) with a 3D pressure map, holds significant promise for healthcare applications,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Abhishek Tandon , Anujraaj Goyal , Henry M. Clever , Zackory Erickson

Accurate body weight estimation is critical in emergency medicine for proper dosing of weight-based medications, yet direct measurement is often impractical in urgent situations. This paper presents a non-invasive method for estimating body…

Computer Vision and Pattern Recognition · Computer Science 2024-10-07 Vivek Ganesh Sonar , Muhammad Tanveer Jan , Mike Wells , Abhijit Pandya , Gabriela Engstrom , Richard Shih , Borko Furht

The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due…

Image and Video Processing · Electrical Eng. & Systems 2022-08-31 Érick Oliveira Rodrigues , Felipe Fernandes Cordeiro de Morais , Aura Conci

Pericoronary adipose tissue (PCAT) is the deposition of fat in the vicinity of the coronary arteries. It is an indicator of coronary inflammation and associated with coronary artery disease. Non-invasive coronary CT angiography (CCTA) is…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Andrew M. Nguyen , Tejas Sudharshan Mathai , Liangchen Liu , Jianfei Liu , Ronald M. Summers

A person's weight status can have profound implications on their life, ranging from mental health, to longevity, to financial income. At the societal level, "fat shaming" and other forms of "sizeism" are a growing concern, while increasing…

Human-Computer Interaction · Computer Science 2017-03-10 Enes Kocabey , Mustafa Camurcu , Ferda Ofli , Yusuf Aytar , Javier Marin , Antonio Torralba , Ingmar Weber

The incidence of gastrointestinal cancers remains significantly high, particularly in China, emphasizing the importance of accurate prognostic assessments and effective treatment strategies. Research shows a strong correlation between…

Image and Video Processing · Electrical Eng. & Systems 2025-03-11 Xinyu Nan , Meng He , Zifan Chen , Bin Dong , Lei Tang , Li Zhang

We present a Body Measurement network (BMnet) for estimating 3D anthropomorphic measurements of the human body shape from silhouette images. Training of BMnet is performed on data from real human subjects, and augmented with a novel…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Nataniel Ruiz , Miriam Bellver , Timo Bolkart , Ambuj Arora , Ming C. Lin , Javier Romero , Raja Bala