Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy - Top-Institutions - MDSpire

Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy

  • By

  • Anita Rau

  • P. J. Eddie Edwards

  • Omer F. Ahmad

  • Paul Riordan

  • Mirek Janatka

  • Laurence B. Lovat

  • Danail Stoyanov

  • April 15, 2019

  • 0 min

Share

Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Gastroenterology
    • Medical Imaging
    • Artificial Intelligence

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Gastroenterology
    • Biomedical Engineering
    • Computer Vision

  • #3

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Gastroenterology
    • Radiology
    • Machine Learning

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Gastroenterology
    • Artificial Intelligence
    • Biomedical Informatics

  • #5

    University College London (UCL)
    University College London (UCL)

    London, N/A

    Key Differentiators

    • Gastroenterology
    • Medical Imaging
    • Computer Science

Original Source(s)

Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy

  • by Anita Rau, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat, Danail Stoyanov

  • April 15, 2019

Related Content

Who Decides When a Doctor Steps Back?

Cognitive decline, credentialing, and why “I’ll know” often isn’t enough.

Epidemiological and Clinical Characteristics of Colorectal Cancer Patients in Bhutan: A Cross-Sectional Analysis

Assessment of Clinical Risk Factors and Survival Outcomes in Postoperative Recurrence or Metastasis of Colorectal Cancer