Orthopedics

The role of the sacroiliac joint in sex estimation: Analysis of morphometry and variation types using machine learning techniques.

This study aimed to evaluate the potential of machine learning algorithms in sex estimation by going beyond the traditional two-dimensional (2D) measurements of the pelvic bone, predominantly preferred in sex prediction, by including measurement data in three-dimensional (3D) images. Measurements were performed on abdominal multidetector computed tomography (MDCT) images of 152 individuals (77 fem...

Rootlets-based registration to the spinal cord PAM50 template

Spinal cord functional MRI studies require precise localization of spinal levels for reliable voxelwise group analyses. Traditional template-based registration of the spinal cord uses intervertebral discs for alignment. However, substantial anatomical variability across individuals exists between vertebral and spinal levels. This study proposes a novel registration approach that leverages spinal...

Latent Feature-Guided Conditional Diffusion for High-Fidelity Generative Image Semantic Communication

Semantic communication is proposed and expected to improve the efficiency and effectiveness of massive data transmission over sixth generation (6G) ...

Task and Joint Space Dual-Arm Compliant Control

Robots that interact with humans or perform delicate manipulation tasks must exhibit compliance. However, most commercial manipulators are rigid and...

SNR-aware Semantic Image Transmission with Deep Learning-based Channel Estimation in Fading Channels

Semantic communications (SCs) play a central role in shaping the future of the sixth generation (6G) wireless systems, which leverage rapid advances...

SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses

While deep learning has shown strong performance in musculoskeletal imaging, existing work has largely focused on pathologies where diagnosis is not...

[Transforming joint reconstruction with surgical robotics: from empirical to analytical approaches].

Robotic-assisted joint reconstruction has gradually become a routine procedure in clinical practice. Robots enhance surgical precision, minimize soft ...

CLIP-KOA: Enhancing Knee Osteoarthritis Diagnosis with Multi-Modal Learning and Symmetry-Aware Loss Functions

Knee osteoarthritis (KOA) is a universal chronic musculoskeletal disorders worldwide, making early diagnosis crucial. Currently, the Kellgren and La...

Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation

Lumbar disc herniation (LDH) is a common musculoskeletal disease that requires magnetic resonance imaging (MRI) for effective clinical management. H...

Dynamic Arthroscopic Navigation System for Anterior Cruciate Ligament Reconstruction Based on Multi-level Memory Architecture

This paper presents a dynamic arthroscopic navigation system based on multi-level memory architecture for anterior cruciate ligament (ACL) reconstru...

Improving Generalization in MRI-Based Deep Learning Models for Total Knee Replacement Prediction

Knee osteoarthritis (KOA) is a common joint disease that causes pain and mobility issues. While MRI-based deep learning models have demonstrated sup...

Kinship Verification through a Forest Neural Network

Early methods used face representations in kinship verification, which are less accurate than joint representations of parents' and children's facia...

Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning

Talking face video generation with arbitrary speech audio is a significant challenge within the realm of digital human technology. The previous stud...

Applying Machine Learning to Gait Analysis Data for Hip Osteoarthritis Diagnosis.

BACKGROUND: Hip osteoarthritis (OA) is a degenerative joint disease that affects approximately 25% of individuals over their lifetime, with prevalence...

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning

Joint-Embedding Predictive Architectures (JEPA) have recently become popular as promising architectures for self-supervised learning. Vision transfo...

CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss

In ordinal classification, misclassifying neighboring ranks is common, yet the consequences of these errors are not the same. For example, misclassi...

SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures

Joint Embedding Predictive Architectures (JEPA) have emerged as a powerful framework for learning general-purpose representations. However, these mo...

Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study.

We created and validated an open-access AI algorithm (AIc) for assessing image segmentation and patient centering in a multi-body-region, multi-center...

ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images

Hip fractures represent a major health concern, particularly among the elderly, often leading decreased mobility and increased mortality. Early and ...

Improving Sound Source Localization with Joint Slot Attention on Image and Audio

Sound source localization (SSL) is the task of locating the source of sound within an image. Due to the lack of localization labels, the de facto st...