BIDS Monthly Seminar Series (Co-hosted with Radiology)

Join us for the BIDS Monthly Research Seminar Series, this month co-hosted with the Department of Radiology. Ron Kikinis, MD, is B. Leonard Holman Professor of Radiology at Harvard Medical School and Vice-Chair for Biomedical Informatics Research at Brigham & Women's Hospital.

Abstract:

Reproducibility in medical image analysis is critical for reliable AI development. However, complex data requirements (images, protocols, software, settings) hinder replication. This presentation explores solutions, showcasing 3D Slicer for individual patient analysis (surgery planning, visualization) and quality assurance. We also emphasize the importance of FAIR data repositories like NCI's Imaging Data Commons for large-scale analysis. By implementing these solutions, we can achieve more robust research and accelerate advancements in the field.

Biography:

Dr. Kikinis earned his MD degree from the University of Zürich, Switzerland, in 1982. He then trained in radiology at the University Hospital in Zürich and pursued research in computer vision at the Swiss Federal Institute of Technology (ETH) in Zürich. In 1988, Dr. Kikinis joined Brigham & Women's Hospital in Boston, MA. He founded the Surgical Planning Laboratory within the Department of Radiology at Harvard Medical School in 1990. Dr. Kikinis rose through the ranks at Harvard Medical School, becoming a Professor of Radiology in 2004. In 2010, he received the prestigious appointment of Robert Greenes Distinguished Director of Biomedical Informatics at Brigham & Women's Hospital. Dr. Kikinis held a part-time position as the Director of Fraunhofer MEVIS and Professor of Medical Image Computing at the University of Bremen in Germany from 2014 to 2020 while maintaining his research activities in the US. In 2020, Dr. Kikinis fully returned to Boston. He was appointed the B. Leonard Holman Professor of Radiology at Harvard Medical School and the Vice-Chair for Biomedical Informatics Research at Brigham & Women's Hospital.

In the mid-1980s, Dr. Kikinis identified the potential of image processing algorithms in extracting valuable information from medical imaging data. Since the 1980’s Dr. Kikinis has played a vital role in diverse areas of scientific research, including technological advancements in segmentation, registration, visualization, and high-performance computing. He has also contributed significantly to software development and biomedical research across various specialties. A core aspect of Dr. Kikinis' research is its interdisciplinary nature, which has resulted in over 400 peer-reviewed journal articles. Dr. Kikinis is the Principal Investigator for 3D Slicer. He is also a co-principal investigator for the Imaging Data Commons (IDC), a cloud-based commons.