Quantification and visualization of anatomical shape variability in different populations is essential for diagnosis and tracking progression of diseases. We present a new 3D med...
This paper introduces a new method based on k-Nearest Neighbors Graphs (KNNG) for bringing into alignment multiple views of the same scene acquired at two different time points. T...
Estanislao Oubel, Mathieu De Craene, Mattia Gazzol...
Extraction of the cerebrum, cerebellum, and brain stem from structural magnetic resonances images (MRIs) is an important initial step in neuroimaging. We present an automated algo...
Aaron Carass, M. Bryan Wheeler, Jennifer Cuzzocreo...
Diffusion MRI is a non-invasive imaging technique that allows the measurement of water molecular diffusion through tissue in vivo. In this paper, we present a novel statistical mo...
In this paper, we introduce a new approach for content-based similarity search for brain images. Based on the keyblock representation, our framework employs the Principal Componen...
The National Cancer Institute has collected a large database of uterine cervix images, termed “cervigrams” for cervical cancer screening research. Tissues of interest within t...
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
Medical imaging has made great technological breakthroughs in multimodal acquisition, visualization, and analysis with many complementary image modalities to non-invasively captur...
There are several domains, such as health-care, in which the decision process usually has a background knowledge that must be considered. We need to maximize the accuracy of the m...