523 citations · 989 across the 4 of their papers we have counts for
4 papers
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Shawn Xu, Lin Yang, Christopher Kelly +25
In this work, we present an approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned image encoder combined or grafted onto…
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
Timo Kohlberger, Yun Liu, Melissa Moran +6
Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF).…
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald +7
The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in canc…
Detecting Cancer Metastases on Gigapixel Pathology Images
Yun Liu, Krishna Gadepalli, Mohammad Norouzi +10
Each year, the treatment decisions for more than 230,000 breast cancer patients in the U.S. hinge on whether the cancer has metastasized away from the breast. Metastasis detection…