David Grand

ORCID: 0000-0003-1519-7435 · 4 papers in corpus · active 2012-2016

Study types

  • article 2
  • book-chapter 2

Condition tags

  • adenomyosis 4
  • endometriosis 2
article 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…

article 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…

book-chapter 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.

book-chapter 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.