Skip to main content
img_2476.jpg

I am an MD PhD Radiologist within the Breast Imaging Unit at the Karolinska University Hospital interested in applying new machine learning techniques, deep learning, to breast radiology images.

Fredrik Strand

Affiliated to research

I am an MD PhD Radiologist within the Breast Imaging Unit at the Karolinska University Hospital interested in applying new machine learning techniques, deep learning, to breast radiology images.

Department and organisational affiliation:

About me

I am an MD PhD Radiologist within the Breast Imaging unit at the Karolinska University Hospital. I have an interest in breast MRI in general, and in applying machine learning techniques to imaging data.

Starting in July 2018 I will do a visiting post doc at University of California San Francisco focusing on the analysis of MRI images of women in neoadjuvant therapy for breast cancer.

I will also continue the already on-going project mammoAI in Stockholm, aiming to improve breast cancer screening by applying deep learning to mammographic images.

Research description

I have two main lines of research:

  • Breast MRI in evaluating response to neoadjuvant therapy - focus on using machine learning techniques. Working at UCSF within the I SPY 2 trial (PI Laura Esserman, with Nola Hylton resonsible for the imaging): (at UCSF)
  • Improving breast cancer screening by applying deep learning to mammographic images, within the Swedish mammoAI project (PI Fredrik Strand, with collaboration with KTH)

Teaching portfolio

  • Teaching radiology to medical students

Education

  • Specialist in Diagnostic Radiology
  • M.D. Ph.D., Karolinska Institute
  • M.Sc. Engineering Physics, LTH at Lund University

Academic honours, awards and prizes

2015 Research Residency, Stockholm County Council

2016 Research Award, Swedish Society of Radiology

2017 Travel Award, RSNA

Loading bibliometrics...