David Grand

ORCID: 0000-0003-1519-7435 · 4 papers in corpus
diagnostic-accuracy 2016
Journal of medical imaging (Bellingham, Wash.) ·doi:10.1117/1.jmi.3.1.014501

We propose an adaptable framework for analyzing ultrasound (US) images quantitatively to provide computer-aided diagnosis using machine learning. Our preliminary clinical targets are hepatic steatosis, adenomyosis, and craniosynostosis. For…

diagnostic-accuracy 2015
·doi:10.1117/12.2081949

We propose a general ultrasound (US) texture-analysis and machine-learning framework for detecting the presence of disease that is suitable for clinical application across clinicians, disease types, devices, and operators. Its stages are im…

2012
·doi:10.1017/cbo9781139013192.010

The most commonly used protocol for MRI of the female pelvis. Indications include evaluation of adnexal masses, ovarian masses, fibroids, adenomyosis, endometriosis, and generalized or localized pelvic pain.

2012
·doi:10.1017/cbo9781139013192.009

The most commonly used protocol for MRI of the female pelvis. Indications include evaluation of adnexal masses, ovarian masses, fibroids, adenomyosis, endometriosis, and generalized or localized pelvic pain.