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20232026
most citedAdvancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2026

Hierarchical Prototype-Memory Adaptation of SAM for Surgical Instrument Segmentation

Xinning Yao, Jingjing Wang, Jinghua Yue +3

Surgical instrument segmentation (SIS) is fundamental for computer-assisted surgery, where reliable instrument masks enable precise scene understanding and clinical assistance. Rec…

cs.CV2026

Prior-Guided DETR for Ultrasound Nodule Detection

Jingjing Wang, Zhuo Xiao, Xinning Yao +4

Accurate detection of ultrasound nodules is essential for the early diagnosis and treatment of thyroid and breast cancers. However, this task remains challenging due to irregular n…

cs.CV2026

Nodule-DETR: A Novel DETR Architecture with Frequency-Channel Attention for Ultrasound Thyroid Nodule Detection

Jingjing Wang, Qianglin Liu, Zhuo Xiao +5

Thyroid cancer is the most common endocrine malignancy, and its incidence is rising globally. While ultrasound is the preferred imaging modality for detecting thyroid nodules, its…

cs.CV2025

Multi-needle Localization for Pelvic Seed Implant Brachytherapy based on Tip-handle Detection and Matching

Zhuo Xiao, Fugen Zhou, Jingjing Wang +7

Accurate multi-needle localization in intraoperative CT images is crucial for optimizing seed placement in pelvic seed implant brachytherapy. However, this task is challenging due…

cs.CV2025

EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images

Xinning Yao, Bo Liu, Bojian Li +3

Depth estimation is a foundational component for 3D reconstruction in minimally invasive endoscopic surgeries. However, existing monocular depth estimation techniques often exhibit…

cs.CV2024★ 1 cited

Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy

Bojian Li, Bo Liu, Xinning Yao +2

Depth estimation is a cornerstone of 3D reconstruction and plays a vital role in minimally invasive endoscopic surgeries. However, most current depth estimation networks rely on tr…