About AIR

A New CCR Initiative for Researchers

Artificial Intelligence  (AI) is becoming important for cancer research but is difficult to access for most labs.  The CCR has created a new AI Resource (AI) to benefit researchers in the CCR.

AIR Introduction Event

To collaborate with the AIR:

Please click the button below and fill out the form.  Once collaboration form is completed click “Submit”.

Contact Information

Artificial Intelligence Resource (AIR)

Center for Cancer Research

For Additional Information please visit: Molecular Imaging Branch

Projects

Multiresolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes From Primary Tumors in Bladder Cancer.

Objective: to develop an artificial intelligence (AI)-based model for identifying patients with lymph node (LN) metastasis based on digital evaluation of primary tumors. Link to publication: PMID 32330067

Detection of prostate cancer in multiparametric MRI using random forest with instance weighting.

Objective: prostate computer-aided diagnosis (CAD) based on random forest to detect prostate cancer using a combination of spatial, intensity, and texture features extracted from three sequences, T2W, ADC, and B2000 images. Link to publication: PMID: 28630883

Key Staff

Stephanie A. Harmon, Ph.D. Staff Scientist Stephanie A. Harmon, PhD received her BS in Physics from Illinois Institute of Technology in 2011 and a PhD in Medical Physics from the University of Wisconsin in 2016. In 2017 she joined Leidos Biomedical Research as a postdoctoral scientist within Dr. Baris Turkbey’s group in Molecular Imaging Program (MIP) at the National Cancer Institute before transitioning to a Staff Scientist position in 2020. Her research background and interests are in computational characterization of cancer and cancer-related outcomes through combination of multi-scale data incorporating information from medical and pathologic imaging. Link to Dr. Harmon’s PubMed bibliography can be found here. BG 10 RM B3B85 240-858-3067 240-781-9043 stephanie.harmon@nih.gov
G. Thomas Brown, M.D., Ph.D. Staff Clinician G. Thomas Brown, MD, PhD received his PhD in Cell Biology and MD from Case Western Reserve University in 2013 received training in Anatomic Pathology in the NCI Laboratory of Pathology. He completed a Clinical Informatics Research Fellowship at the National Library of Medicine. He joined the Leidos Biomedical ABCS/IVG as a bioinformatics analyst in 2019 before transitioning to Assistant Research Physician with NCI in 2020. His areas of interest involve computer vision and deep-learning algorithm development to assist physicians with diagnosing and treating cancers with greater accuracy and efficacy. List of publications: BG 10 Room B3B85 301-846-1847 301-263-4048 <br gtom.brown@nih.gov
Nathan Lay, Ph.D. Staff Scientist  Dr. Lay received his PhD in Computational Science from Florida State University in 2013 where he developed a novel machine learning aggregation framework based on ideas from prediction markets. He spent three years in industry research where he developed methods for segmentation and landmark localization in medical image analysis problems. As a result of his work in the industry, he is a co-inventor of several patents. After three years of industry research, he joined the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory at the National Institutes of Health as a Staff Scientist where he developed novel prostate cancer detection methods. Through close collaboration with the Molecular Imaging Program, his prostate cancer detection systems have been honed and studied in three international reader studies. His research interests are in the fields of machine learning and computer vision. BG 10 RM B3B69 240-858-7063 301-768-5257 nathan.lay@nih.gov
Steering Committee Director Ismail Baris Turkbey, M.D. Associate Research Physician National Cancer Institute, National Institutes of Health  Building 10 – Room B3B85 240-760-6112 turkbeyi@mail.nih.gov View My Team
Steering Committee Members Peter L. Choyke, M.D., F.A.C.R. Director, Molecular Imaging Program National Cancer Institute, National Institutes of Health pchoyke@nih.gov View My Team
Clem McDonald, M.D. National Library of Medicine, National Institutes of Health
Ulas Bagci, Ph.D. Center for Research in Computer Vision, University of Central Florida
Steve Hewitt, M.D., Ph.D. National Cancer Institute, National Institutes of Health
Brad Wood, M.D. National Cancer Institute, National Institutes of Health

Coming Soon

No positions available at this time.  

List of current AIR publications