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The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, information from previous longitudinal scans of the same…

Image and Video Processing · Electrical Eng. & Systems 2019-09-13 Preeti Gopal , Sharat Chandran , Imants Svalbe , Ajit Rajwade

Tendon-driven musculoskeletal humanoids typically have complex structures similar to those of human beings, such as ball joints and the scapula, in which encoders cannot be installed. Therefore, joint angles cannot be directly obtained and…

Robotics · Computer Science 2024-04-23 Kento Kawaharazuka , Shogo Makino , Masaya Kawamura , Yuki Asano , Kei Okada , Masayuki Inaba

Alzheimer's Disease and normal aging are both characterized by brain atrophy. The question of whether AD-related brain atrophy represents accelerated aging or a neurodegeneration process distinct from that in normal aging remains…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Jingru Fu , Daniel Ferreira , Örjan Smedby , Rodrigo Moreno

Age prediction from medical images or other health-related non-imaging data is an important approach to data-driven aging research, providing knowledge of how much information a specific tissue or organ carries about the chronological age…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Johan Öfverstedt , Elin Lundström , Håkan Ahlström , Joel Kullberg

Keratoconus is a severe eye disease that leads to deformation of the cornea. It impacts people aged 10-25 years and is the leading cause of blindness in that demography. Corneal topography is the gold standard for keratoconus diagnosis. It…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Siddhartha Gairola , Pallavi Joshi , Anand Balasubramaniam , Kaushik Murali , Nipun Kwatra , Mohit Jain

Recovering a person's height from a single image is important for virtual garment fitting, autonomous driving and surveillance, however, it is also very challenging due to the absence of absolute scale information. We tackle the rarely…

Computer Vision and Pattern Recognition · Computer Science 2018-05-29 Semih Günel , Helge Rhodin , Pascal Fua

Objectives: To quantify the magnitude of spinal deformity in adolescent idiopathic scoliosis (AIS), the Cobb angle is measured on X-ray images of the spine. Continuous exposure to X-ray radiation to follow-up the progression of scoliosis…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Bahare Samadi , Maxime Raison , Philippe Mahaudens , Christine Detrembleur , Sofiane Achiche

Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to predict ascending aortic aneurysm growth. Material and methods:…

We apply computer vision pose estimation techniques developed expressly for the data-scarce infant domain to the study of torticollis, a common condition in infants for which early identification and treatment is critical. Specifically, we…

Image and Video Processing · Electrical Eng. & Systems 2022-11-08 Michael Wan , Xiaofei Huang , Bethany Tunik , Sarah Ostadabbas

Quantification of brain morphology has become an important cornerstone in understanding brain structure. Measures of cortical morphology such as thickness and surface area are frequently used to compare groups of subjects or characterise…

Neurons and Cognition · Quantitative Biology 2020-03-25 Yujiang Wang , Tobias Ludwig , Bethany Little , Joe H Necus , Gavin Winston , Sjoerd B Vos , Jane de Tisi , John S Duncan , Peter N Taylor , Bruno Mota

Tear film rupture on the corneal surface plays a critical role in ocular health and visual comfort. Conventional theoretical approaches often idealize the cornea as a perfectly smooth surface, ignoring the surface roughness that are…

Fluid Dynamics · Physics 2026-03-20 Deepak Kumar , S Pushpavanam

Purpose: Understanding how the pancreas changes is critical for detecting deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from ages 0 to 90. Our goals are to 1)…

This study investigates the relationship between interocular distance relative to overall facial width (width ratio) and perceived subjective beauty in male faces. Building on the methodology of Pallett et al. (2010), who found that average…

Neurons and Cognition · Quantitative Biology 2026-03-02 Theresa Tennstedt , Benjamin Knopp , Dominik Endres

Eyelid shape is integral to identity and likeness in human facial modeling. Human eyelids are diverse in appearance with varied skin fold and epicanthal fold morphology between individuals. Existing parametric face models express eyelid…

Graphics · Computer Science 2024-10-18 Lohit Petikam , Charlie Hewitt , Fatemeh Saleh , Tadas Baltrušaitis

Neuromotor decoding from upper-limb electromyography (sEMG) can enhance human-machine interfaces and offer a more natural means of controlling prosthetic limbs, virtual reality, and household electronics. Unfortunately, current sEMG…

In this article, we analyze the morphometry of hippocampus in subjects with very mild dementia of Alzheimer's type (DAT) and nondemented controls and how it changes over a two-year period. Morphometric differences with respect to a template…

Study design Are there neuro-anatomical abnormalities associated with idiopathic scoliosis (IS)? Posterior Basicranium (PBA) reflects cerebellum growth and contains vestibular organs, two structures suspected to be involved in scoliosis.…

Medical Physics · Physics 2016-09-08 D. L. Rousie , O. Joly , A. Berthoz

Cosmological observables could be used to construct cosmological models, however, a fixed number of observables limited on the light cone is not enough to uniquely determine a certain model. A reconstructed spherically symmetric,…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-17 Siqi Liu , Tong-Jie Zhang

In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results for 3D human pose estimation, estimating the full 3D shape…

Computer Vision and Pattern Recognition · Computer Science 2019-08-02 Valentin Gabeur , Jean-Sebastien Franco , Xavier Martin , Cordelia Schmid , Gregory Rogez

Motion-related artifacts are inevitable in Magnetic Resonance Imaging (MRI) and can bias automated neuroanatomical metrics such as cortical thickness. These biases can interfere with statistical analysis which is a major concern as motion…

Image and Video Processing · Electrical Eng. & Systems 2025-06-11 Charles Bricout , Samira Ebrahimi Kahou , Sylvain Bouix