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most citedSynergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos

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

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cs.CV2026

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

Lanqing Liu, Ruize Cui, Jialun Pei +4

Liver surface landmark detection is a fundamental prerequisite for anatomical guidance in laparoscopic liver surgery. However, it remains unreliable in practice due to two pervasiv…

cs.CV2026

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

Diandian Guo, Xikai Yang, Ruiyang Li +2

Surgical Video Question Answering (VideoQA) provides a promising paradigm for dynamic intraoperative interpretation, enabling real-time decision support and context-aware retrieval…

cs.CV2025

Benchmarking Endoscopic Surgical Image Restoration and Beyond

Jialun Pei, Diandian Guo, Donghui Yang +5

In endoscopic surgery, a clear and high-quality visual field is critical for surgeons to make accurate intraoperative decisions. However, persistent visual degradation, including s…

cs.CV2025★ 1 cited

Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos

Jialun Pei, Zhangjun Zhou, Diandian Guo +4

Intraoperative bleeding in laparoscopic surgery causes rapid obscuration of the operative field to hinder the surgical process and increases the risk of postoperative complications…

cs.CV2024

Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver

Diandian Guo, Weixin Si, Zhixi Li +2

Pringle maneuver (PM) in laparoscopic liver resection aims to reduce blood loss and provide a clear surgical view by intermittently blocking blood inflow of the liver, whereas prol…

cs.CV2024

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Diandian Guo, Manxi Lin, Jialun Pei +3

A comprehensive understanding of surgical scenes allows for monitoring of the surgical process, reducing the occurrence of accidents and enhancing efficiency for medical profession…

cs.CV2024

S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR

Jialun Pei, Diandian Guo, Jingyang Zhang +3

Scene graph generation (SGG) of surgical procedures is crucial in enhancing holistically cognitive intelligence in the operating room (OR). However, previous works have primarily r…