Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation Read more about Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation
A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection Read more about A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection
Explicit shape descriptors: novel morphologic features for histopathology classification Read more about Explicit shape descriptors: novel morphologic features for histopathology classification
Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis. Read more about Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis.
Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI. Read more about Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI.
A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma. Read more about A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma.
A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma. Read more about A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma.
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge. Read more about Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge. Read more about Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study. Read more about Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study.
