Publication
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets
Related publications (42)
Three-dimensional evaluation of the transverse rotator cuff muscle's resultant force angle in relation to scapulohumeral subluxation and glenoid vault morphology in nonpathological shoulders
Alexandre Terrier, Alain Farron, Patrick Goetti, Matthieu Boubat
Background: Static posterior subluxation of the humeral head (SPSH) results in glenohumeral osteoarthritis. Treatment strategies for SPSH with or without resulting osteoarthritis remain challenging. There is growing interest in evaluating the rotator cuff ...
Mosby-Elsevier2024Glenohumeral joint force prediction with deep learning
Dominique Pioletti, Alexandre Terrier, Patrick Goetti, Philippe Büchler
Deep learning models (DLM) are efficient replacements for computationally intensive optimization techniques. Musculoskeletal models (MSM) typically involve resource-intensive optimization processes for determining joint and muscle forces. Consequently, DLM ...
London2024Age- and sex-specific normative values of bone mineral density in the adult glenoid
Dominique Pioletti, Alexandre Terrier, Alain Farron, Patrick Goetti, Frédéric Vauclair, Philippe Büchler
The objective of this study was to determine the normative bone mineral density (BMD) of cortical and trabecular bone regions in the adult glenoid and its dependence on the subject's age and sex. We analyzed computed tomography (CT) scans of 441 shoulders ...
WILEY2022Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation
Qian Wang, Tobias Kober, Tom Hilbert, Yao Zhang, Yubo Zhao
Objective To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patients with ...
SPRINGER2022Overcorrected Implants for Total Shoulder Arthroplasty
Glenohumeral osteoarthritis is a degenerative shoulder joint disease, which causes the breakdown of articular cartilage and bone. People affected by this disease suffer from severe pain and eventually reduced mobility and poor life quality. This disease is ...
EPFL2021The role of convolutional neural networks in scanning probe microscopy: a review
Progress in computing capabilities has enhanced science in many ways. In recent years, various branches of machine learning have been the key facilitators in forging new paths, ranging from categorizing big data to instrumental control, from materials desi ...
BEILSTEIN-INSTITUT2021Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE
Jean-Philippe Thiran, Meritxell Bach Cuadra, Cristina Granziera, Muhamed Barakovic, Mario Joao Fartaria de Oliveira, Francesco La Rosa, Ahmed Abdulkadir, Po-Jui Lu
The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarker of the disease. They appear in the earliest stages of the illness and have been shown to correlate with the severity of clinical symptoms. However, cortic ...
2020Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients
Dominique Pioletti, Alexandre Terrier, Alain Farron, Philippe Müllhaupt, Ehsan Sarshari, Matteo Mancuso
Videogrammetry is commonly used to record upper limb motions. However, it cannot track the glenohumeral joint center (GH). GH is required to reconstruct upper limb motions. Therefore, it is often estimated by separately measuring scapular motions using sca ...
TAYLOR & FRANCIS LTD2020Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks
Michaël Unser, Michael Thompson McCann
This tutorial covers biomedical image reconstruction, from the foundational concepts of system modeling and direct reconstruction to modern sparsity and learning-based approaches. Imaging is a critical tool in biological research and medicine, and most ima ...
2019Simplifying Exosuits: Kinematic Couplings in the Upper Extremity during Daily Living Tasks
In the past few years, several light-weight soft wearable robots, so called exosuits, for upper extremity assistance have been developed. The design of exosuits is often based on a bio-mimetic design approach, mimicking the human biomechanics. However, in ...
2019