UCLA Center for Computer Vision and Imaging Biomarkers

Center for Computer Vision and Imaging Biomarkers (CVIB)
From Computer Vision to Patient Care
Explore the ScienceOur Science
At CVIB, we are creating computer vision that understands the real world and can be trusted in clinical practice.
Scientists at CVIB are developing a superhuman machine intelligence that can see and understand medical images as we do.
Computer vision enables precision medicine, where new therapies are evaluated and the right treatment matched to the right patient.
Quantitative image analysis provides a vital decision support tool. We are committed to partnering with clinical scientists and providing imaging services for precision medicine.
We measure success not based on lab benchmarks, but on benefits actually delivered to patients.
We believe that the success of AI should be measured in improvements in patient outcomes and broad impact in routine health care.
Resources
CVIB resources support development of computer vision technology and delivery of patient care.
People
Helping people take their research to the next level
CVIB brings together a multidisciplinary team to move AI out of the lab and into clinical practice.
We are motivated by seeing our ideas become technology that actually helps patients. We embrace collaborations with academia and industry involving both image analysis technology transfer and clinical services.
The leap from the lab to real-world decision making challenges technology performance, reliability, and validation.

With our collaborators we are unlocking the potential of AI to provide precision care tailored to the individual patient. CVIB exists to:
- Help people achieve their goals
- Build things that make a difference
- Foster collaboration and team success
CVIB provides multidisciplinary training opportunities
We have graduate student, postdoctoral, and undergraduate research opportunities in the fields of Computer Science, Data Science, Imaging Physics, Biostatistics, and Clinical Research.
News
All news
SimpleMind Lecture for Clinicians
Watch Matthew Brown's Mass General Brigham lecture on utilizing AI in patient care.

SPIE Best Demonstration Winner
CVIB graduate students, Wasil Wahi-Anwar, Jin Kim, and Dallas Tada honored for cognitive AI software that aggregates deep learning algorithms.


Connect
Contact us if you would like to:
- Collaborate on computer vision technology development
- Join our lab operations team
- Partner with us on biomarker development
- Use our quantitative imaging services
Students, career professionals, and collaborative partners are welcome!
We recruit people who can achieve their goals at CVIB and who will help others to do the same.