Aim to collect more high-quality works for conference communication, the submission deadline extends to November 5, 2023.
It is our great pleasure to
welcome you all to the
International Conference on Medical Computer Vision
and Robotics (MCVR 2023), hosted by the
Ningbo Institute of Materials Technology & Engineering, CAS, China in
Ningbo, China
during
December 8-10, 2023.
The field of Medical Computer Vision and Robotics
has made significant progress in recent years, with
advancements in technology enabling more precise and
efficient medical procedures. From computer-aided
diagnosis to surgical robots, this interdisciplinary
field has the potential to revolutionize healthcare
delivery and improve patient outcomes.
This conference presents a unique opportunity for
experts and scholars to come together to share their
research, ideas, and experience. With keynote
speeches, invited speeches, author presentations,
and forums, we aim to promote the latest
advancements and innovations in the field. We are
confident that this conference will facilitate
insightful discussions and promote collaboration,
leading to new discoveries and future breakthroughs.
▪ Segmentation and feature
extraction in medical images
▪ Image registration and fusion for
multimodal imaging
▪ Shape modeling and analysis of
anatomical structures
▪ 3D and 4D image reconstruction in
medical imaging
▪ Deep learning for medical image
analysis
▪ Image-guided therapy and
intervention
▪ Signal processing and analysis of
physiological data
▪ Hyperspectral imaging for medical
diagnosis
▪ Biomedical data visualization and
interpretation
▪ Biomedical data compression and
storage
▪ Machine learning for physiological
signal processing
▪ Noninvasive physiological
monitoring and diagnosis
▪ Deep learning for medical image
analysis
▪ Transfer learning for medical
applications
▪ Explainable AI in medical decision
support systems
▪ Reinforcement learning for
robotics and control
▪ Machine learning for drug
discovery and personalized medicine
▪ Data privacy and security in
medical AI
▪ Surgical planning and simulation
for computer-assisted surgery
▪ Intraoperative imaging and
navigation for minimally invasive
procedures
▪ Robot-assisted surgery and
telesurgery
▪ Haptics and tactile feedback in
surgical robotics
▪ Machine learning for
computer-assisted surgery
▪ Image-guided radiation therapy
▪ Virtual and augmented reality for
medical training and simulation
▪ Augmented reality for image-guided
interventions
▪ Virtual patient models for
surgical planning
▪ Virtual reality for rehabilitation
and therapy
▪ User interface design for medical
VR/AR applications
▪ Perception and cognitive
processing in medical VR/AR
▪ Design and control of surgical
robots
▪ Human-robot interaction and
collaboration in medical
applications
▪ Wearable robotics and exoskeletons
for gait assistance
▪ Sensor-based automation in
healthcare settings
▪ Emerging trends in medical
robotics and automation
Submitted papers must be written in the English language. Full paper (including figures, tables, and references) must be no less than 8 pages. Use the conference template for Microsoft Word: http://www.mcvr2023.org/files/template.docx
The submission of papers for MCVR 2023 will be managed through EasyChair: http://www.easychair.org/conferences/?conf=mcvr2023. This system gives you, the author, complete control over your submission. You can upload your paper and check on the review status of your submission.
MCVR 2023 requires that authors should only submit original work that has neither appeared elsewhere for publication, nor is under review for another refereed publication.
Plagiarism is the use of someone else’s prior ideas, processes, results, or words without explicitly acknowledging the original author and source. Plagiarism in any form is unacceptable and is considered a serious breach of professional conduct, with potentially severe ethical and legal consequences.
Aim to collect more high-quality works for conference communication, the submission deadline extends to November 5, 2023.
Per the requests from potential participants, the submission deadline extends to October 5, 2023.
