output
20082022
most citedPredicting Risk of Developing Diabetic Retinopathy using Deep Learning

251 citations

6 papers

cs.OS2022★ 20 cited

Unikernel Linux (UKL)

Ali Raza, Thomas Unger, Matthew Boyd +9

This paper presents Unikernel Linux (UKL), a path toward integrating unikernel optimization techniques in Linux, a general purpose operating system. UKL adds a configuration option…

eess.IV2020★ 55 cited

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases

Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy +20

Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific…

eess.IV2020★ 251 cited

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning

Ashish Bora, Siva Balasubramanian, Boris Babenko +13

Diabetic retinopathy (DR) screening is instrumental in preventing blindness, but faces a scaling challenge as the number of diabetic patients rises. Risk stratification for the dev…

cs.LG2020

Grammar Filtering For Syntax-Guided Synthesis

Kairo Morton, William Hallahan, Elven Shum +2

Programming-by-example (PBE) is a synthesis paradigm that allows users to generate functions by simply providing input-output examples. While a promising interaction paradigm, synt…

astro-ph.EP2019★ 90 cited

Asteroid pairs: a complex picture

P. Pravec, P. Fatka, D. Vokrouhlický +45

We studied 93 asteroid pairs. We estimated times elapsed since separation of pair members that are between 7*10^3 and a few 10^6 yr. We derived the rotation periods for all the pri…

astro-ph2008★ 161 cited

The AzTEC mm-Wavelength Camera

G. W. Wilson, J. E. Austermann, T. A. Perera +13

AzTEC is a mm-wavelength bolometric camera utilizing 144 silicon nitride micromesh detectors. Herein we describe the AzTEC instrument architecture and its use as an astronomical in…