Medical Image Analysis
About
The 3.0k papers published in Medical Image Analysis in the last decades have received a total of 149.0k indexed citations.
Papers published in Medical Image Analysis usually cover Radiology, Nuclear Medicine and Imaging (1.6k papers), Computer Vision and Pattern Recognition (1.4k papers) and Artificial Intelligence (739 papers) specifically the topics of Medical Image Segmentation Techniques (830 papers), AI in cancer detection (502 papers) and Radiomics and Machine Learning in Medical Imaging (483 papers). The most active scholars publishing in Medical Image Analysis are Mark Jenkinson, Stephen M. Smith, J.-P. Thirion, Bram van Ginneken, Max A. Viergever, Fred L. Bookstein, Geert Litjens, James C. Gee, J. B. Antoine Maintz and Clara I. Sánchez.
In The Last Decade
Fields of papers published in Medical Image Analysis
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Medical Image Analysis. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Medical Image Analysis
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Medical Image Analysis. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Medical Image Analysis with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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