Data Scientist, Deep Learning Algorithms
Tony is a Deep Learning Data Scientist at Intel. He is a medical doctor by trade who has previously worked on brain-computer interfaces and surgical telementoring devices. He currently works in high-performance computing algorithms for optimizing deep neural networks in medical imaging.
GE Healthcare’s Artificial Intelligence Prescription (AIRx™) is an automated workflow tool for magnetic resonance (MR) brain scanning that has received…
This summer marked the 4th annual summer research program that brings together NASA’s Frontier Development Lab (FDL), the SETI Institute,…
Nearly 153 exabytes of healthcare-related data were generated in 2013; this number will increase by 48% annually to reach 2,314…
Intel has been an integral part of hospital technology for almost 50 years. From desktop computers to MRI scanners, diagnostic…
This paper reviews a biomedical image segmentation project conducted in partnership with the AI team at General Electric’s Global Research…
Deep learning models for semantic segmentation of images require large amounts of data. In the medical imaging domain, acquiring sufficient…
Uber’s* Horovod is a great way to train distributed deep learning models. Its ring-allreduce network architecture scales well to several…
Upsampling versus Transposed Convolution We’ve recently applied the U-Net architecture to segment brain tumors from raw MRI scans (Figure 1).…