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20162023
most citedReal-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

211 citations · 1k across the 132 of their papers we have counts for

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Showing 2017 · cs.CVShow all

13 papers · 2 filters

cs.CV2017

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Chen Qin, Jo Schlemper, Jose Caballero +3

Accelerating the data acquisition of dynamic magnetic resonance imaging (MRI) leads to a challenging ill-posed inverse problem, which has received great interest from both the sign…

cs.CV2017★ 74 cited

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee +4

We present DLTK, a toolkit providing baseline implementations for efficient experimentation with deep learning methods on biomedical images. It builds on top of TensorFlow and its…

cs.CV2017★ 60 cited

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8

Deep learning approaches such as convolutional neural nets have consistently outperformed previous methods on challenging tasks such as dense, semantic segmentation. However, the v…

cs.CV2017

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Wenjia Bai, Matthew Sinclair, Giacomo Tarroni +20

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accura…

cs.CV2017

Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements

Carlos E. Thomaz, Vagner Amaral, Gilson A. Giraldi +2

Research on human face processing using eye movements has provided evidence that we recognize face images successfully focusing our visual attention on a few inner facial regions,…

cs.CV2017★ 9 cited

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

Benjamin Hou, Bishesh Khanal, Amir Alansary +7

Limited capture range, and the requirement to provide high quality initialization for optimization-based 2D/3D image registration methods, can significantly degrade the performance…