Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Zigang Wang

dblp:89/2729 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 88% Bioinformatics and computational biology · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › surgical robotics
minimally invasive surgery
0.012001
Study On Robot-Assisted Minimally Invasive Neurosugery and its Clinical Application · ICRA 2001
Medical and health informatics
surgical robotics
0.012001
Study On Robot-Assisted Minimally Invasive Neurosugery and its Clinical Application · ICRA 2001
Bioinformatics and computational biology
3d visualization
0.012001
Study On Robot-Assisted Minimally Invasive Neurosugery and its Clinical Application · ICRA 2001
Medical and health informatics › computer-assisted surgery
surgical planning
0.012001
Study On Robot-Assisted Minimally Invasive Neurosugery and its Clinical Application · ICRA 2001

Methods — techniques the papers use, named apart from their topics

robot arm navigation · 0.0marker registration · 0.0
YearPublicationVenuePosition
2001 Study On Robot-Assisted Minimally Invasive Neurosugery and its Clinical Application
abstract
This paper introduces the research project of robot assisted minimally invasive neurosurgery. Using visualization technology, the system reconstructs and displays the 3D model of the patient's inner structure in the computer. Thus the surgeons can plan the surgery on the model in the computer. Marker registration is used to create the mapping between the patient's head and the 3D-brain model. Robot arm is used as a navigator to direct the surgery planning and as an instrument platform to assist surgeons to accomplish the operation. The results of the clinical application are given to show that the robotic system is effective.
Da Liu 0002, Tianmiao Wang, Zigang Wang, Zesheng Tang, Zengmin Tian, Jixiang Du, Quanjun Zhao
ICRA3