4 papers
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
Junyang Wu, Fangfang Xie, Jiayuan Sun +2
Domain adaptation, which bridges the distributions across different modalities, plays a crucial role in multimodal medical image analysis. In endoscopic imaging, combining pre-oper…
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis
Minghui Zhang, Chenyu Li, Fangfang Xie +8
Accurate anatomical labeling and analysis of the pulmonary structure and its surrounding anatomy from thoracic CT is getting increasingly important for understanding the etilogy of…
Sim2Real within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images
Junyang Wu, Yun Gu, Guang-Zhong Yang
Robot assisted endoluminal intervention is an emerging technique for both benign and malignant luminal lesions. With vision-based navigation, when combined with pre-operative imagi…
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Reuben Dorent, Roya Khajavi, Tagwa Idris +24
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentati…