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Mali Shen

5 accepted papers

2020

Generative Localization With Uncertainty Estimation Through Video-CT Data for Bronchoscopic Biopsy

RA-L 2020

Robot-assisted endobronchial intervention requires accurate localization based on both intra- and pre-operative data. Most existing methods achieve this by registering 2D videos with 3D CT models according to a defined similarity metric with local features. Instead, we formulate the bronchoscopic lo

Cited by 32SourceScholar
2020

Pathological Airway Segmentation with Cascaded Neural Networks for Bronchoscopic Navigation

ICRA 2020poster

Robotic bronchoscopic intervention requires detailed 3D airway maps for both localisation and enhanced visualisation, especially at peripheral airways. Patient-specific airway maps can be generated from preoperative chest CT scans. Due to pathological abnormalities and anatomical variations, automat…

Cited by 14SourceScholar
2018

Design and Kinematics Characterization of a Laser-Profiled Continuum Manipulator for the Guidance of Bronchoscopic Instruments * This work was supported by Engineering and Physical Sciences Research Council (EPSRC), United Kingdom (EP/N019318/1). Ning Liu and Mali Shen are also supported by Chinese Scholarship Council (CSC)

ICRA 2018

Bronchoscopic intervention, as a minimally invasive method for the diagnosis and treatment of lung diseases, has attracted more and more attention in recent years. However, existing endobronchial instruments lack the steerability accessing the peripheral airways with difficult bifurcations. This pap

Cited by 415SourceScholar
2018

Design and kinematics characterization of a laser-profiled continuum manipulator for the guidance of bronchoscopic instruments

ICRA 2018poster

Bronchoscopic intervention, as a minimally invasive method for the diagnosis and treatment of lung diseases, has attracted more and more attention in recent years. However, existing endobronchial instruments lack the steerability accessing the peripheral airways with difficult bifurcations. This pap…

Cited by 25SourceScholar