99 citations · 111 across the 3 of their papers we have counts for
3 papers
Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
Kasra Naftchi-Ardebili, Karanpartap Singh, Reza Pourabolghasem +3
Deep learning offers potential for various healthcare applications, yet requires extensive datasets of curated medical images where data privacy, cost, and distribution mismatch ac…
Knowledge Discovery In Nanophotonics Using Geometric Deep Learning
Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani +3
We present here a new approach for using the intelligence aspects of artificial intelligence for knowledge discovery rather than device optimization in electromagnetic (EM) nanostr…
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents
Yunqi Zhao, Igor Borovikov, Fernando de Mesentier Silva +14
Recently, there have been several high-profile achievements of agents learning to play games against humans and beat them. In this paper, we study the problem of training intellige…