Computational anatomy for multi-organ analysis in medical imaging: A review
The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …
organ-, and disease-specific methods. Recently, the interest in the development of more …
Squid: Deep feature in-painting for unsupervised anomaly detection
Radiography imaging protocols focus on particular body regions, therefore producing
images of great similarity and yielding recurrent anatomical structures across patients. To …
images of great similarity and yielding recurrent anatomical structures across patients. To …
Automated knee MR images segmentation of anterior cruciate ligament tears
The anterior cruciate ligament (ACL) is one of the main stabilizer parts of the knee. ACL
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
Computational modeling has become a powerful tool in biomedical engineering thanks to its
potential to simulate coupled systems. However, real parameters are usually not accurately …
potential to simulate coupled systems. However, real parameters are usually not accurately …
Human foot form and function: variable and versatile, yet sufficiently related to predict function from form
RW Schuster, AG Cresswell… - Proceedings of the …, 2024 - royalsocietypublishing.org
The human foot is a complex structure that plays an important role in our capacity for upright
locomotion. Comparisons of our feet with those of our closest extinct and extant relatives …
locomotion. Comparisons of our feet with those of our closest extinct and extant relatives …
Interpreting medical images
The interest in artificial intelligence (AI) applications in medical imaging has grown rapidly in
the past few years, largely driven by the success of deep learning. Methods ranging from …
the past few years, largely driven by the success of deep learning. Methods ranging from …
Individuals have unique muscle activation signatures as revealed during gait and pedaling
Although it is known that the muscle activation patterns used to produce even simple
movements can vary between individuals, these differences have not been considered to …
movements can vary between individuals, these differences have not been considered to …
The effect of articular geometry features identified using statistical shape modelling on knee biomechanics
Articular geometry in the knee varies widely among people which has implications for risk of
injury and pathology. The goals of this work were to develop a framework to systematically …
injury and pathology. The goals of this work were to develop a framework to systematically …
A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb
A Navacchia, DR Hume, PJ Rullkoetter… - Journal of …, 2019 - Elsevier
Concurrent multiscale simulation strategies are required in computational biomechanics to
study the interdependence between body scales. However, detailed finite element models …
study the interdependence between body scales. However, detailed finite element models …
Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks
Background and objective Segmentation is a crucial step in multiple biomechanics and
orthopedics applications. The time-intensiveness and expertise requirements of medical …
orthopedics applications. The time-intensiveness and expertise requirements of medical …