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

Li Zhang 0024

dblp:89/5992-24 · DBLP profile ↗
← Back
7ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 7 · 3 since 2021Applied, interdisciplinary, general and emerging computing · 5 · 3 since 2021Artificial intelligence and machine learning · 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 · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
computer-assisted intervention
0.212013
A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy · IEEE Trans. Multim. 2013
Medical and health informatics
image-guided intervention
0.212013
A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy · IEEE Trans. Multim. 2013
Medical and health informatics › medical imaging › medical image analysis
image registration
0.212013
A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy · IEEE Trans. Multim. 2013
Medical and health informatics
minimally invasive therapy
0.212013
A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy · IEEE Trans. Multim. 2013
Image and video processing › biomedical image analysis
medical image analysis
0.012013
A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy · IEEE Trans. Multim. 2013

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

survey · 0.3
YearPublicationVenuePosition
2023 Improving Pathology Localization: Multi-series Joint Attention Takes the Lead
Ashwin Raju, Micha Kornreich, Colin Hansen, James Browning, Jayashri Pawar, Richard Herzog, Benjamin Odry, Li Zhang 0024
MICCAI (6)8
2022 Combining Mixed-Format Labels for AI-Based Pathology Detection Pipeline in a Large-Scale Knee MRI Study
Micha Kornreich, JinHyeong Park, Joschka Braun, Jayashri Pawar, James Browning, Richard Herzog, Benjamin Odry, Li Zhang 0024
MICCAI (8)8
2021 Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images
James Browning, Micha Kornreich, Aubrey Chow, Jayashri Pawar, Li Zhang 0024, Richard Herzog, Benjamin Odry
MICCAI (3)5
2013 System and Method for 3-D/3-D Registration between Non-contrast-enhanced CBCT and Contrast-Enhanced CT for Abdominal Aortic Aneurysm Stenting
Shun Miao, Rui Liao, Marcus Pfister, Li Zhang 0024, Vincent Ordy
MICCAI (1)4
2013 Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery
Ozan Oktay, Li Zhang 0024, Tommaso Mansi, Peter Mountney, Philip Walter Mewes, Stéphane Nicolau, Luc Soler, Christophe Chefd'Hotel
MICCAI (2)2
2013 A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy
abstract
Minimally invasive and less invasive procedure is becoming more and more common in medical therapy. Image guidance is an indispensable component in minimally invasive procedures by providing critical information about the position of the target sites and the optimal manipulation of the devices, while the field of view is limited to naked eyes due to the small incision. Registration is one of the enabling technologies for computer-aided image guidance, which brings high-resolution pre-operative data into the operating room to provide more realistic information about the patient's anatomy. In this paper, we survey the recent advances in registration techniques applied to minimally and/or less invasive therapy, including a wide variety of therapies in surgery, endoscopy, interventional cardiology, interventional radiology, and hybrid procedures. The registration approaches are categorized into several groups, including projection-to-volume, slice-to-volume, video-to-volume, and volume-to-volume registration. The focus is on recent advances in registration techniques that are specifically developed for minimally and/or less invasive procedures in the following medical specialties: neuroradiology and neurosurgery, cardiac applications, and thoracic-abdominal interventions.
Rui Liao, Li Zhang 0024, Ying Sun 0001, Shun Miao, Christophe Chefd'Hotel
IEEE Trans. Multim.2
2012 Learning-based deformable registration using weighted mutual information
Yongning Lu, Rui Liao, Li Zhang 0024, Ying Sun 0001, Christophe Chefd'Hotel, Sim Heng Ong
ICPR3