Gregory Lee

Greg Lee is a software engineer on the NVIDIA Clara team. He earned a Ph.D. in biomedical engineering from the University of Michigan and worked for a number of years in magnetic resonance imaging (MRI) research. With an interest in GPU-accelerated computing, he is a co-creator of RAPIDS cuCIM and frequent contributor to CuPy. He is also involved in the development and maintenance of several open-source scientific Python libraries (PyWavelets, SciPy, scikit-image, and Zarr).
Greg Lee

Posts by Gregory Lee

Digital pathology WSI
Technical Walkthrough 11

Accelerating Digital Pathology Workflows Using cuCIM and NVIDIA GPUDirect Storage

Whole slide imaging (WSI), the digitization of tissue on slides using whole slide scanners, is gaining traction in healthcare. WSI enables clinicians in... 10 MIN READ
Technical Walkthrough 0

Enhanced Image Analysis with Multidimensional Image Processing

Image data can generally be described through two dimensions (rows and columns), with a possible additional dimension for the colors red, green, blue (RGB).... 5 MIN READ
Technical Walkthrough 1

Accelerating Scikit-Image API with cuCIM: n-Dimensional Image Processing and I/O on GPUs

Overview cuCIM is a new RAPIDS library for accelerated n-dimensional image processing and image I/O. The project is now publicly available under a permissive... 7 MIN READ