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
- 42 days
- Submission to first decision
- 139 days
- Submission to acceptance
- 197,466 (2019)
- Downloads
Latest issue
Latest articles
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Estimation of boundary conditions for patient-specific liver simulation during augmented surgery
Authors
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Evaluation of multi-wavelengths LED-based photoacoustic imaging for maximum safe resection of glioma: a proof of concept study
Authors (first, second and last of 6)
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WCE polyp detection based on novel feature descriptor with normalized variance locality-constrained linear coding
Authors (first, second and last of 5)
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The effects of different levels of realism on the training of CNNs with only synthetic images for the semantic segmentation of robotic instruments in a head phantom
Authors (first, second and last of 4)
Journal updates
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COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
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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About this journal
- Electronic ISSN
- 1861-6429
- Abstracted and indexed in
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- CNKI
- Current Contents/Clinical Medicine
- DBLP
- EBSCO Biomedical Reference Collection
- EBSCO Discovery Service
- EMBASE
- EMCare
- Gale
- Gale Academic OneFile
- Google Scholar
- INIS Atomindex
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Medline
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- Psyndex
- Reaxys
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- Semantic Scholar
- Copyright information
