Orthopedics

IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays

Spine surgery is a high-risk intervention demanding precise execution, often supported by image-based navigation systems. Recently, supervised learning approaches have gained attention for reconstructing 3D spinal anatomy from sparse fluoroscopic data, significantly reducing reliance on radiation-intensive 3D imaging systems. However, these methods typically require large amounts of annotated tr...

Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis

We propose a novel framework for ID-preserving generation using a multi-modal encoding strategy rather than injecting identity features via adapters into pre-trained models. Our method treats identity and text as a unified conditioning input. To achieve this, we introduce FaceCLIP, a multi-modal encoder that learns a joint embedding space for both identity and textual semantics. Given a referenc...

Occlusion-Ordered Semantic Instance Segmentation

Standard semantic instance segmentation provides useful, but inherently 2D information from a single image. To enable 3D analysis, one usually integ...

OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions

Oracle bone inscriptions (OBIs) are the earliest known form of Chinese characters and serve as a valuable resource for research in anthropology and ...

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and weight dispersal. Damage to menisci can lead to onse...

RUKA: Rethinking the Design of Humanoid Hands with Learning

Dexterous manipulation is a fundamental capability for robotic systems, yet progress has been limited by hardware trade-offs between precision, comp...

SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration

Multispectral imaging plays a critical role in a range of intelligent transportation applications, including advanced driver assistance systems (ADA...

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects

Biomedical images often contain objects known to be spatially correlated or nested due to their inherent properties, leading to semantic relations. ...

A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images

Pelvic fractures, often caused by high-impact trauma, frequently require surgical intervention. Imaging techniques such as CT and 2D X-ray imaging a...

Interpreting the Linear Structure of Vision-language Model Embedding Spaces

Vision-language models encode images and text in a joint space, minimizing the distance between corresponding image and text pairs. How are language...

Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Accurate rib fracture identification and classification are essential for treatment planning. However, existing datasets often lack fine-grained ann...

Efficient 2D to Full 3D Human Pose Uplifting including Joint Rotations

In sports analytics, accurately capturing both the 3D locations and rotations of body joints is essential for understanding an athlete's biomechanic...

Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark

The oracle bone inscription (OBI) recognition plays a significant role in understanding the history and culture of ancient China. However, the exist...

X2BR: High-Fidelity 3D Bone Reconstruction from a Planar X-Ray Image with Hybrid Neural Implicit Methods

Accurate 3D bone reconstruction from a single planar X-ray remains a challenge due to anatomical complexity and limited input data. We propose X2BR,...

Towards Unconstrained 2D Pose Estimation of the Human Spine

We present SpineTrack, the first comprehensive dataset for 2D spine pose estimation in unconstrained settings, addressing a crucial need in sports a...

Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT

Radiologists routinely detect and size lesions in CT to stage cancer and assess tumor burden. To potentially aid their efforts, multiple lesion dete...

Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability

Deep neural networks for medical image classification often fail to generalize consistently in clinical practice due to violations of the i.i.d. ass...

GARF: Learning Generalizable 3D Reassembly for Real-World Fractures

3D reassembly is a challenging spatial intelligence task with broad applications across scientific domains. While large-scale synthetic datasets hav...

Feature Importance-Aware Deep Joint Source-Channel Coding for Computationally Efficient and Adjustable Image Transmission

Recent advancements in deep learning-based joint source-channel coding (deepJSCC) have significantly improved communication performance, but their h...

Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification

Scoliosis is a spinal curvature disorder that is difficult to detect early and can compress the chest cavity, impacting respiratory function and car...