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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…
Preoperative-to-intraoperative Liver Registration for Laparoscopic Surgery via Latent-Grounded Correspondence Constraints
Ruize Cui, Jialun Pei, Haiqiao Wang +4
In laparoscopic liver surgery, augmented reality technology enhances intraoperative anatomical guidance by overlaying 3D liver models from preoperative CT/MRI onto laparoscopic 2D…
Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
Ruize Cui, Jiaan Zhang, Jialun Pei +3
Liver landmarks provide crucial anatomical guidance to the surgeon during laparoscopic liver surgery to minimize surgical risk. However, the tubular structural properties of landma…
Landmark-Free Preoperative-to-Intraoperative Registration in Laparoscopic Liver Resection
Jun Zhou, Bingchen Gao, Kai Wang +3
Liver registration by overlaying preoperative 3D models onto intraoperative 2D frames can assist surgeons in perceiving the spatial anatomy of the liver clearly for a higher surgic…
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…