About the ML Tools/Research Subcommittee

This subcommittee is a part of the SIIM Machine Learning Committee and is dedicated to the same Strategic Goal 2: Advance Translational/Reproducible Research and promote standards. SIIM will bring together industry and academic leaders to collaborate on translational research. In turn, they will work to accelerate the implementation of research findings into the medical imaging informatics field.

Goals

  • Provide datasets and/or ML models that can be shared via existing SIIM sites.
  • Inform the SIIM Machine Learning Committee of national and international activities abroad that SIIM should be aware of and possibly participate with.
  • Assist in annotation projects.

Roster

Chair

  • Khaled Younis, PhD

Vice Chair

  • Yuankai HuoVanderbilt University

Members

  • Farzana AliUniversity at Buffalo
  • Gian Marco Conte, MD, PhDMayo Clinic - Rochester
  • Abdussalam ElhanashiUniversity of Pisa
  • Ahmed Elshaikh Mustafa, MBBS
  • Shahriar Faghani, MDMayo Clinic Rochester
  • John Garrett, PhDUniversity of Wisconsin Madison
  • Amilcare GentiliSan Diego VA Health Care System
  • Shiba Kuanar, PhDMayo Clinic - Rochester
  • Andrew MissertMayo Clinic - Rochester
  • Ghulam Rasool, PhDMoffitt Cancer Center
  • Yashbir Singh, PhDMayo Clinic - Rochester
  • Joseph Yacoub, MDMedstar Georgetown University Hospital

Liaison

  • Anna ZawackiStaff LiaisonSIIM