Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendations for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.
Imagen Diagnóstica (Diagnostic Imaging) is the official Journal of the Catalan Association of Diagnostic Imaging Technicians (Asociación Catalana de Técnicos en Imagen para el Diagnóstico), founded to give a voice to all Spanish speaking Diagnostic Imaging Technicians. Any scientific contribution associated with diagnostic imaging in any of its variants, image-guided medical treatment, or technology applied to imaging is, in principle, accepted for publication in Imagen Diagnóstica. Articles are evaluated by anonymous peer review.
La revue Le Sein change de titre et devient Imagerie de la FemmeUn contenu d'enseignement post-universitaireImagerie de la Femme propose de nombreuses rubriques pratiques : Mises au point, Cas cliniques commentés, Passerelles cliniques, Corrélations anatomo-radiologiques, Quel est votre diagnostic, Analyse bibliographique commentée, Actualités techniques, Agenda.Une approche pluridisciplinaireLa revue se consacre aux différents aspects de l'imagerie de la femme, que ce soit pour la partie radiologique traditionnellement la plus développée, la sénologie, ou la gynécologie, l'obstétrique et les autres explorations de la ménopause, telle que l'ostéodensitométrie.Une iconographie en couleursImagerie de la Femme propose une iconographie riche et en couleurs pour une lecture plus fine, moderne et dynamique.
Imaging is a guide to modern-day imaging and will appeal to a broad spectrum of radiologists and allied professionals by providing the latest information on the integrated role of imaging modalities in medical diagnosis. Articles will give readers an in-depth practical account of the various techniques for a particular clinical problem. Each subject collection concentrates on those topics that are most relevant to everyday practice, with particular emphasis on recent developments and difficult areas. Imaging focuses on offering coverage of all the major aspects of clinical radiology over a 4-year cycle. Topics will be revisited after each cycle to ensure that the information is constantly updated. As well as review papers, Imaging includes a pictorial quiz. Trainees will find Imaging an invaluable source of current information during pre-exam training, with the cycle of issues complying closely with the modular structure of today s radiology training.