Development of a robot-assisted ultrasound-guided radiation therapy (USgRT)
Authors (first, second and last of 6)
The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
The focus of the journal is on Research and Development of digital imaging methods and computer-assisted diagnostic and therapeutic workflows that match and enhance the skill levels of health care professionals.
One goal of IJCARS is to provide information on new diagnostic and therapeutic processes which are facilitated by computer assisted radiology and surgery. This includes providers' experiences, patient outcomes, economic and ethical considerations, and scientific/medical validation results. It is expected that the resulting awareness by users and providers will accelerate the acceptance of CARS-supported procedures in clinical practice.
- Encourages interdisciplinary research on Computer Assisted Radiology and Surgery (CARS) that closes the gap between medical and technical disciplines
- Reports on digital imaging methods and computer-assisted diagnostic and therapeutic workflows that enhance the skills of medical professionals
- Promotes broader understanding and acceptance of CARS-supported procedures
Journal information
- Editor-in-Chief
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- Heinz U. Lemke
- Publishing model
- Hybrid. Open Access options available
Journal metrics
- 2.155 (2018)
- Impact factor
- 2.148 (2018)
- Five year impact factor
- 38 days
- Submission to first decision
- 12 days
- Acceptance to publication
- 159,984 (2018)
- Downloads
Latest articles
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Kidney edge detection in laparoscopic image data for computer-assisted surgery
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Transrectal ultrasound image-based real-time augmented reality guidance in robot-assisted laparoscopic rectal surgery: a proof-of-concept study
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Knee arthroscopic navigation using virtual-vision rendering and self-positioning technology
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Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning
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Societies, partners and affiliations
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Computed Maxillofacial Congress (CMI)
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Workshop on Computer-Aided Diagnosis (CAD)
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- Subscription
- $99.00
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- Immediate online access
- Full Journal access includes all articles
- Downloadable in PDF
- Subscription expires 12/31/2019
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About this journal
- Electronic ISSN
- 1861-6429
- Abstracted and indexed in
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- Current Contents/Clinical Medicine
- DBLP
- EBSCO Biomedical Reference Collection
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- Copyright information
