579 citations · 785 across the 5 of their papers we have counts for
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cs.CV2017
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks
Vladimir Iglovikov, Alexander Rakhlin, Alexandr Kalinin +1
Skeletal bone age assessment is a common clinical practice to diagnose endocrine and metabolic disorders in child development. In this paper, we describe a fully automated deep lea…
cs.CV2017★ 149 cited
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition
Vladimir Iglovikov, Sergey Mushinskiy, Vladimir Osin
This paper describes our approach to the DSTL Satellite Imagery Feature Detection challenge run by Kaggle. The primary goal of this challenge is accurate semantic segmentation of d…