Full Name: 2023 International Conference on Medical Computer Vision and Robotics (MCVR 2023) Abbreviation: MCVR 2023 Hosted By: Cixi Institute of BioMedical Engineering Website: http://www.mcvr2023.org/ Conference Time: December 8-10, 2023 Conference Venue: Ningbo, China International Conference on Medical Computer Vision and Robotics (MCVR 2023) will be held in Ningbo, China during December 8-10, 2023. It is hosted by the Cixi Institute of BioMedical Engineering. 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. *Call for Paper* Track 1: Medical Image Analysis ▪ Segmentation and feature extraction in medical images ▪ Image registration and fusion for multimodal imaging ▪ 3D and 4D image reconstruction in medical imaging ▪ Deep learning for medical image analysis ▪ Image-guided therapy and intervention Track 2: Biomedical Signal and Image Processing ▪ Signal processing and analysis of physiological data ▪ Hyperspectral imaging for medical diagnosis ▪ Biomedical data compression and storage ▪ Machine learning for physiological signal processing ▪ Noninvasive physiological monitoring and diagnosis Track 3: Machine Learning and Artificial Intelligence ▪ Deep learning for medical image analysis ▪ Transfer learning for medical applications ▪ Explainable AI in medical decision support systems ▪ Machine learning for drug discovery and personalized medicine ▪ Data privacy and security in medical AI Track 4: Computer-Assisted Surgery ▪ Surgical planning and simulation for computer-assisted surgery ▪ Intraoperative imaging and navigation for minimally invasive procedures ▪ Robot-assisted surgery and telesurgery ▪ Machine learning for computer-assisted surgery ▪ Image-guided radiation therapy Track 5: Virtual and Augmented Reality in Medicine ▪ Virtual and augmented reality for medical training and simulation ▪ Augmented reality for image-guided interventions ▪ Virtual reality for rehabilitation and therapy ▪ User interface design for medical VR/AR applications ▪ Perception and cognitive processing in medical VR/AR Track 6: Medical Robotics and Automation ▪ 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 For more topics, please check: http://www.mcvr2023.org/cfp.html *Submission Guideline* -Language: English is the official language of the conference. The paper should be written and presented only in English. -Publication & Presentation: Full paper submission is required if you consider publishing your paper. -Presentation Only: Abstract submission is acceptable for presentation only at MCVR 2023. -Paper Length: Full paper (including figures, tables, and references) must be no less than 8 pages. -Submit paper via online system: http://www.easychair.org/conferences/?conf=mcvr2023 More detail about submission, please contact mcvr_contact@163.com or visit at: http://www.mcvr2023.org/author.html *Publication* Submitted papers will be peer reviewed by reviewers, and accepted papers after proper registration and presentation will be published in the Conference Proceedings, which will be indexed by Ei Compendex, Scopus, etc. *Contact* Conference Secretary: Miss Annabelle Liu Email: mcvr_contact@163.com Tel: +86-18000547208