Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data. Read more about Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.
Histopathological image analysis: a review. Read more about Histopathological image analysis: a review.
Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays. Read more about Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays.
Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol <i>In Vivo</i> 3 Tesla MRI. Read more about Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI.
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging. Read more about Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging.
A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). Read more about A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).
Concomitant abdominal aortic aneurysm and rectal cancer: a treatment dilemma. Read more about Concomitant abdominal aortic aneurysm and rectal cancer: a treatment dilemma.
Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy. Read more about Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy.
Novel morphometric based classification via diffeomorphic based shape representation using manifold learning. Read more about Novel morphometric based classification via diffeomorphic based shape representation using manifold learning.
Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation. Read more about Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation.
