Statistics Seminar, Andrey Fedorov, PhD

Monday, March 16, 2020

3:00pm - 4:00pm

121 South Main Street

Andrey Fedorov, PhD, Assistant Professor in Radiology, Surgical Planning Laboratory, Department  of Radiology, Brigham and Women’s Hospital, Harvard Medical School

Abstract to be posted

Title:  Managing Data for Medical Image Computing Research

Bio:  Andrey joined SPL in 2009 after obtaining his PhD in Computer Science from The College of William and Mary in Virginia. His research is in translation and validation of medical image computing technology in clinical research applications, with the focus on quantitative imaging, imaging informatics and image-guided interventional procedures. Andrey is committed to advancing the role of reproducible science, data sharing and open source software in academic research. He has contributed to several open source projects, most notably 3D Slicer (http://slicer.org) and dcmqi (https://github.com/qiicr/dcmqi).
Together with Ron Kikinis, he served as a co-PI of the Quantitative
Image Informatics for Cancer Research (QIICR) project
(http://qiicr.org) funded by NCI. Andrey is a technical lead for the
consortium developing Imaging Data Commons (IDC) node for the NCI Cancer Research Data Commons (CRDC) platform. The IDC will be a cloud-based resource that connects researchers with 1) cancer image collections, 2) a robust infrastructure that contains imaging data, subject and sample metadata and experimental metadata from disparate sources, 3) resources for searching, identifying and viewing images, and 4) additional data types contained in other Cancer Research Data Commons nodes.