Yan Cheng

Yan Cheng is the lead of the engineering team that works closely with the DLMED researchers to architect and implement the Clara Train SDK. He has many years of experience building industry-quality software systems. Before joining NVIDIA, he served as a chief architect for AOL, and did IT consulting for the federal government.

Posts by Yan Cheng

Technical Walkthrough 0

Creating Robust and Generalizable AI Models with NVIDIA FLARE

NVIDIA FLARE v2.0 is an open-source federated learning SDK that makes it easier to develop more generalizable robust AI models by sharing model weights. 6 MIN READ
Technical Walkthrough 0

Powering AutoML-enabled AI Model Training with Clara Train

Deep neural networks (DNNs) have been successfully applied to volume segmentation and other medical imaging tasks. They are capable of achieving state-of-the… 8 MIN READ
CUDA AI Cube
Technical Walkthrough 0

Annotate, Build, and Adapt Models for Medical Imaging with the Clara Train SDK

Deep Learning in medical imaging has shown great potential for disease detection, localization, and classification within radiology. Deep Learning holds the… 9 MIN READ