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most citedranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

3.5k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2017 · cs.CVShow all

2 papers · 2 filters

cs.CV2017★ 3 cited

Deep Convolutional Neural Networks as Generic Feature Extractors

Lars Hertel, Erhardt Barth, Thomas Käster +1

Recognizing objects in natural images is an intricate problem involving multiple conflicting objectives. Deep convolutional neural networks, trained on large datasets, achieve conv…

cs.CV2017★ 765 cited

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas +10

Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where image…