7 papers
MetaSSP: Enhancing Semi-supervised Implicit 3D Reconstruction through Meta-adaptive EMA and SDF-aware Pseudo-label Evaluation
Luoxi Zhang, Chun Xie, Itaru Kitahara
Implicit SDF-based methods for single-view 3D reconstruction achieve high-quality surfaces but require large labeled datasets, limiting their scalability. We propose MetaSSP, a nov…
MGP-KAD: Multimodal Geometric Priors and Kolmogorov-Arnold Decoder for Single-View 3D Reconstruction in Complex Scenes
Luoxi Zhang, Chun Xie, Itaru Kitahara
Single-view 3D reconstruction in complex real-world scenes is challenging due to noise, object diversity, and limited dataset availability. To address these challenges, we propose…
SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
Chun Xie, Yuichi Yoshii, Itaru Kitahara
X-ray imaging is a rapid and cost-effective tool for visualizing internal human anatomy. While multi-view X-ray imaging provides complementary information that enhances diagnosis,…
Measurement of Medial Elbow Joint Space using Landmark Detection
Shizuka Akahori, Shotaro Teruya, Pragyan Shrestha +4
Ultrasound imaging of the medial elbow is crucial for the early diagnosis of Ulnar Collateral Ligament (UCL) injuries. Specifically, measuring the elbow joint space in ultrasound i…
Detection of Medial Epicondyle Avulsion in Elbow Ultrasound Images via Bone Structure Reconstruction
Shizuka Akahori, Shotaro Teruya, Pragyan Shrestha +5
This study proposes a reconstruction-based framework for detecting medial epicondyle avulsion in elbow ultrasound images, trained exclusively on normal cases. Medial epicondyle avu…
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction
Luoxi Zhang, Pragyan Shrestha, Yu Zhou +2
The precise reconstruction of 3D objects from a single RGB image in complex scenes presents a critical challenge in virtual reality, autonomous driving, and robotics. Existing neur…