Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis …

J Martel-Pelletier, P Paiement… - Therapeutic Advances …, 2023 - journals.sagepub.com
Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …

Computational anatomy for multi-organ analysis in medical imaging: A review

JJ Cerrolaza, ML Picazo, L Humbert, Y Sato… - Medical image …, 2019 - Elsevier
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 …

Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size

Y Hiasa, Y Otake, M Takao, T Matsuoka… - … and Synthesis in …, 2018 - Springer
CT is commonly used in orthopedic procedures. MRI is used along with CT to identify
muscle structures and diagnose osteonecrosis due to its superior soft tissue contrast …

3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images

G Zeng, X Yang, J Li, L Yu, PA Heng… - Machine Learning in …, 2017 - Springer
This paper addresses the problem of segmentation of proximal femur in 3D MR images. We
propose a deeply supervised 3D U-net-like fully convolutional network for segmentation of …

Three-dimensional architecture of the whole human soleus muscle in vivo

B Bolsterlee, T Finni, A D'Souza, J Eguchi, EC Clarke… - PeerJ, 2018 - peerj.com
Background Most data on the architecture of the human soleus muscle have been obtained
from cadaveric dissection or two-dimensional ultrasound imaging. We present the first …

Exploration of new contrasts, targets, and MR imaging and spectroscopy techniques for neuromuscular disease–a workshop report of working group 3 of the …

GJ Strijkers, ECA Araujo, N Azzabou… - Journal of …, 2019 - content.iospress.com
Neuromuscular diseases are characterized by progressive muscle degeneration and
muscle weakness resulting in functional disabilities. While each of these diseases is …

Patient-specific 3-D magnetic resonance imaging–based dynamic simulation of hip impingement and range of motion can replace 3-D computed tomography–based …

TD Lerch, C Degonda, F Schmaranzer… - … American journal of …, 2019 - journals.sagepub.com
Background: Femoroacetabular impingement (FAI) is a complex 3-dimensional (3D) hip
abnormality that can cause hip pain and osteoarthritis in young and active patients of …

Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

J Kemnitz, CF Baumgartner, F Eckstein… - … Resonance Materials in …, 2020 - Springer
Objective Segmentation of thigh muscle and adipose tissue is important for the
understanding of musculoskeletal diseases such as osteoarthritis. Therefore, the purpose of …

Robust statistical shape models for MRI bone segmentation in presence of small field of view

J Schmid, J Kim, N Magnenat-Thalmann - Medical image analysis, 2011 - Elsevier
Accurate bone modeling from medical images is essential in the diagnosis and treatment of
patients because it supports the detection of abnormal bone morphology, which is often …

Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural …

R Ni, CH Meyer, SS Blemker, JM Hart… - Journal of Medical …, 2019 - spiedigitallibrary.org
High-resolution magnetic resonance imaging with fat suppression can obtain accurate
anatomical information of all 35 lower limb muscles and individual segmentation can …