- October 21, 2022
Staib Is Elected an MICCAI Fellow
- August 24, 2022Source: YaleNews
Breaking Stereotype: Brain Models Are Not One-Size-Fits-All
- August 05, 2022Source: YaleNews
To Better Understand the Brain, Look at the Bigger Picture
- May 17, 2022Source: Yale School of Engineering and Applied Sicence
Graduate Students Honored At 2022 Crest & Fest
- May 10, 2022
Using AI and Machine Learning for a More Accurate Prostate Biopsy
- September 19, 2021
Opioids, Pain, and the Brain: Mapping Out a Healthier Future for Women
- March 07, 2021Source: Yale News
Yale study finds that when smelling, oral stimuli are weaker than nasal stimuli
- November 17, 2020
Yihuan Lu, PhD recipient of 2020 Young Investigator Medical Imaging Science Award
- October 26, 2020
Image Processing and Analysis Group Wins International Best Paper Award for 2nd Straight Year
- October 02, 2020
Yale PET Center Receives $10.2M BRAIN Initiative Grant to Build New Scanner
- February 20, 2020Source: School of Engineering & Applied Science
James Duncan Discusses Big Data’s Role in Medical Imaging
- November 21, 2019
Dvornek's Machine Learning Approaches Earn Top Prizes at International Conference
Division of Bioimaging Sciences
Within the Department of Radiology & Biomedical Imaging, the Division of Bioimaging Sciences was established to focus on research and teaching in the area of bioimaging methodology. Ladder faculty based in the Division have specific areas of focus that concentrate on mathematical image analysis, imaging physics and the biophysics / biochemistry of the interaction of living tissue with imaging sensors.
Explorations in Research
The discipline of bioimaging is taking on new dimensions as scientists develop new sensors to explore biological structure and function, and visualize/analyze this information in three and four dimensions. Bioimaging research is fast becoming integrative in nature, both in terms of the type of sensor (e.g., NMR, x-ray, visible light for everything from microscopy to optical coherence tomography, ultrasound, etc.), scale (molecular to cellular to organ), and range of applications, from molecular crystallography to imaging the neuronal correlates of the mind.