The Deep Imaging Analytics Lab (DIAL) is affiliated with the Department of Biomedical Engineering at Rensselaer Polytechnic Institute and the Center for Biotechnology and Interdisciplinary Studies in the Biomedical Imaging Cluster. It is operated under the direction of Dr. Pingkun Yan. The main focus of our research is to develop novel methods and systems for intelligent medical image analysis to advance the understanding, visualization, and application of medical images using machine learning and computer vision techniques. We work with a variety of imaging modalities for different applications, ranging from multi-modal image fusion-guided intervention to disease detection/grading in single images or image series and surgical planning.
Our group strives to make meaningful innovations in two general areas. One is the development of novel techniques for medical image computing to extract information carried by medical images. These methods include image segmentation, image registration, and region-of-interest detection and tracking. The other area is the application of these techniques to solve the challenges in clinical procedures to meet the clinical needs. Examples of such applications are MRI-TRUS fusion-guided prostate cancer biopsy and treatment, analysis of cancer screening images, and planning of maxillofacial surgeries.
We conduct this exciting and truly interdisciplinary research through close collaboration with experts from multiple domains, including physicians, biomedical imaging specialists, mathematicians, and researchers from multiple other engineering disciplines. It is our great privilege to work with collaborators from diverse top-notch global institutions.
We are hiring talented graduate students and PostDocs! Please send your CV to Dr. Yan. Feel free to reach out if you have any questions.