23 citations · 31 across the 5 of their papers we have counts for
5 papers
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
Kyle Lucke, Aleksandar Vakanski, Min Xian
In recent years, convolutional neural networks for semantic segmentation of breast ultrasound (BUS) images have shown great success; however, two major challenges still exist. 1) M…
Optimal construction of a layer-ordered heap
Jake Pennington, Patrick Kreitzberg, Kyle Lucke +1
The layer-ordered heap (LOH) is a simple, recently proposed data structure used in optimal selection on , thealgorithm with the best known runtime for selection on $X_1+X_2+\c…
Fast exact computation of the most abundant isotope peaks with layer-ordered heaps
Patrick Kreitzberg, Jake Pennington, Kyle Lucke +1
The theoretical computation of isotopic distribution of compounds is crucial in many important applications of mass spectrometry, especially as machine precision grows. A considera…
Selection on with layer-ordered heaps
Patrick Kreitzberg, Kyle Lucke, Oliver Serang
Selection on is an important problem with many applications in areas such as max-convolution, max-product Bayesian inference, calculating most probable isoto…
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC---called a Tensor Process…