Orthopedics

3D Scene-Camera Representation with Joint Camera Photometric Optimization

Representing scenes from multi-view images is a crucial task in computer vision with extensive applications. However, inherent photometric distortions in the camera imaging can significantly degrade image quality. Without accounting for these distortions, the 3D scene representation may inadvertently incorporate erroneous information unrelated to the scene, diminishing the quality of the represe...

Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects

Obtaining a better knowledge of the current state and behavior of objects orbiting Earth has proven to be essential for a range of applications such as active debris removal, in-orbit maintenance, or anomaly detection. 3D models represent a valuable source of information in the field of Space Situational Awareness (SSA). In this work, we leveraged Neural Radiance Fields (NeRF) to perform 3D reco...

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns

Periodontitis, a chronic inflammatory disease causing alveolar bone loss, significantly affects oral health and quality of life. Accurate assessment...

Critical Anatomy-Preserving & Terrain-Augmenting Navigation (CAPTAiN): Application to Laminectomy Surgical Education

Surgical training remains a crucial milestone in modern medicine, with procedures such as laminectomy exemplifying the high risks involved. Laminect...

Radiomic fingerprints for knee MR images assessment

Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high variability and limited scalability. Existing radiomic...

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

Osteoporosis, characterized by reduced bone mineral density (BMD) and compromised bone microstructure, increases fracture risk in aging populations....

Bibliometric analysis of research on spinal tuberculosis in last 5 years.

BACKGROUND: Spinal tuberculosis (TB), also known as Pott's spine, remains a significant global health issue, particularly in regions with a high TB bu...

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting

We address the challenge of relighting a single image or video, a task that demands precise scene intrinsic understanding and high-quality light tra...

Human Locomotion Implicit Modeling Based Real-Time Gait Phase Estimation

Gait phase estimation based on inertial measurement unit (IMU) signals facilitates precise adaptation of exoskeletons to individual gait variations....

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

Medical imaging plays a crucial role in assessing knee osteoarthritis (OA) risk by enabling early detection and disease monitoring. Recent machine l...

EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric Optimization

Egocentric video-language understanding demands both high efficiency and accurate spatial-temporal modeling. Existing approaches face three key chal...

Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization

Surgical training integrates several years of didactic learning, simulation, mentorship, and hands-on experience. Challenges include stress, technic...

Automatic Multi-View X-Ray/CT Registration Using Bone Substructure Contours

Purpose: Accurate intraoperative X-ray/CT registration is essential for surgical navigation in orthopedic procedures. However, existing methods stru...

Improving spliced alignment by modeling splice sites with deep learning

Motivation: Spliced alignment refers to the alignment of messenger RNA (mRNA) or protein sequences to eukaryotic genomes. It plays a critical role i...

Automated Measurements of Spinal Parameters for Scoliosis Using Deep Learning.

STUDY DESIGN: Retrospective single-institution study.

SPLATART: Articulated Gaussian Splatting with Estimated Object Structure

Representing articulated objects remains a difficult problem within the field of robotics. Objects such as pliers, clamps, or cabinets require repre...

Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models

Interpreting large volumes of high-dimensional, unlabeled data in a manner that is comprehensible to humans remains a significant challenge across v...

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation

AI requires extensive datasets, while medical data is subject to high data protection. Anonymization is essential, but poses a challenge for some re...

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery

Objective: To evaluate whether preoperative body composition metrics automatically extracted from CT scans can predict postoperative outcomes after ...

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery

Objective: To evaluate whether preoperative body composition metrics automatically extracted from CT scans can predict postoperative outcomes after ...