Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis

Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model

(2016) Tao Tan et al.   MEDICAL PHYSICS

Automated Detection of Lupus White Matter Lesions in MRI

(2016) Eloy Roura et al.   Frontiers in Neuroinformatics

Measurement of Tumor Volumes Improves RECIST-Based Response Assessments in Advanced Lung Cancer

(2014) P. David Mozley et al.   Translational Oncology

A white matter lesion-filling approach to improve brain tissue volume measurements

(2014) Sergi Valverde et al.   NeuroImage-Clinical

Volumetric tumor growth in advanced non-small cell lung cancer patients withEGFRmutations during EGFR-tyrosine kinase inhibitor therapy

(2013) Mizuki Nishino et al.   CANCER

Sparse Non-negative Stencils for Anisotropic Diffusion

(2013) Jérôme Fehrenbach et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Evaluating Lesion Segmentation on Breast Sonography as Related to Lesion Type

(2013) Gerard Pons et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation

(2012) Tao Tan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Computer-aided classification of breast masses using speckle features of automated breast ultrasound images

(2012) Woo Kyung Moon et al.   MEDICAL PHYSICS

Using computer-aided detection in mammography as a decision support

(2010) Maurice Samulski et al.   EUROPEAN RADIOLOGY

Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts

(2009) Kevin M. Kelly et al.   EUROPEAN RADIOLOGY

Diagnostic Accuracy of Digital versus Film Mammography: Exploratory Analysis of Selected Population Subgroups in DMIST

(2008) Etta D. Pisano et al.   RADIOLOGY