9 citations · 19 across the 3 of their papers we have counts for
4 papers
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning
Peter Klages, Ilyes Benslimane, Sadegh Riyahi +5
A total of twenty paired CT and MR images were used in this study to investigate two conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating synthetic C…
Intelligent Inverse Treatment Planning via Deep Reinforcement Learning, a Proof-of-Principle Study in High Dose-rate Brachytherapy for Cervical Cancer
Chenyang Shen, Yesenia Gonzalez, Peter Klages +6
Inverse treatment planning in radiation therapy is formulated as optimization problems. The objective function and constraints consist of multiple terms designed for different clin…
GPU Kernels for High-Speed 4-Bit Astrophysical Data Processing
Peter Klages, Kevin Bandura, Nolan Denman +3
Interferometric radio telescopes often rely on computationally expensive O(N^2) correlation calculations; fortunately these computations map well to massively parallel accelerators…
An Efficient Real-time Data Pipeline for the CHIME Pathfinder Radio Telescope X-Engine
Andre Recnik, Kevin Bandura, Nolan Denman +5
The CHIME Pathfinder is a new interferometric radio telescope that uses a hybrid FPGA/GPU FX correlator. The GPU-based X-engine of this correlator processes over 819 Gb/s of 4+4-bi…