
David J. Foran
David J. Foran is Professor of Pathology, Laboratory Medicine & Radiology and Chief of the Division of Medical Informatics at Rutgers-Robert Wood Johnson Medical School. He also serves as Executive Director of Computational Imaging & Biomedical informatics; and Chief Informatics Officer at The Cancer Institute of New Jersey. His research focuses on the design, development, and implementation of new approaches in computer-assisted diagnostics, medical imaging and statistical pattern recognition for resolving challenging clinical problems in pathology, radiology, and oncology.
Associated articles
JBHI, Featured Articles
Parallel vs. Distributed Data Access for Giga-pixel-resolution Histology Images: Challenges and Opportunities
Recent advances in digital pathology technology have led to significant improvements in terms of both the quality and resolution of the resulting images, which now often exceed several Gigabytes each. Today, several leading institutions across the US, utilize whole-slide imaging...
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Posted on 26 JUN 2017
TBME, Featured Articles
Towards a Portable Cancer Diagnostic Tool Using a Disposable MEMS-based Biochip
Hardik J. Pandya, Kihan Park, Wenjin Chen, Lauri A. Goodell, David J. Foran, and Jaydev P. Desai, Brigham and Women’s Hospital – Harvard Medical School, University of Maryland, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers USA.
Breast cancer...
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Posted on 21 JUN 2016
JBHI, Featured Articles
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir Amini, Nenad Filipovic, Ashish Sharma, Sotirios Tsaftaris, Alistair Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis Zervakis, Joel H. Saltz, Constantinos S. Pattichis
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in medical imaging acquisition technologies for different modalities, highlighting the necessity...
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Posted on 1 JUL 2020