Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Sensors and Imaging for Medical Robotics"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 20 September 2023 | Viewed by 3856
Special Issue Editor
Interests: micro-systems; sensors; micro-robots; medical-robotics; micro-fluidics
Special Issue Information
This is a Special Issue dedicated to Sensors and Imaging Systems used as sensors in Medical Robotics. Sensing in robotics is of great importance especially in unstructured environments, such as a medical treatment and diagnosis. In the last decade, there is a great advance in medical devices with embedded sensing such as RF ablation catheters with tactile sensors, image-guided non-invasive surgery, etc. Novel surgical robots incorporate medical imaging devices (CT, fluoroscopy, MRI, ultrasound) for registration, navigation, and treatment feedback. Magnetic and image-based navigation systems are used with robots. Another aspect of sensing in medical robotics are sensors that are incorporated in robots’ end effectors such as a tactile sensor. Embedded sensors provide feedback for control of the robot, feedback for the operating surgeon, and enable increased robot safety. Sensors in medical robots are the key components for future safer, more autonomous medical robots. Sensing in medical micro-robots enables targeted personal therapy.
I invite the community to support this Special Issue by submitting state of the art original studies and reviews regarding novel sensors for medical robots, imaging systems used with medical robots, new control schemes incorporating sensing and medical robots, and sensing in microrobots for medical applications. The focus of the Special Issue are sensors and sensing systems applications in all aspects of medical robotics: surgical robots, image-guided surgery, robotic aids for surgeries, nursing, and logistic services in medical environments.
I invite the community to support Sensors (IF 3.031) in this timely initiative by submitting new and ground-breaking papers that will constitute a roadmap for our future research.
Dr. Gabor Kosa
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Image-guided surgery
- Medical sensors
- Medical robotics
- Sensing systems
- Navigation systems
- Robotic registration
- Tactile/force/pressure sensors
- Imaging sensors
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Various Ways for Feature Difference Generation: A Medical Image Captioning Model Conveying More Details
Authors: Hyeryun Park, Kyungmo Kim, Seongkeun Park, Jinwook Choi