output
20062026
most citedDeep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

773 citations

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 10 cited

Hubless keypoint-based 3D deformable groupwise registration

Rémi Agier, Sébastien Valette, Razmig Kéchichian +2

We present a novel algorithm for Fast Registration Of image Groups (FROG), applied to large 3D image groups. Our approach extracts 3D SURF keypoints from images, computes matched p…

cs.CV2018

Magnetic Resonance Spectroscopy Quantification using Deep Learning

Nima Hatami, Michaël Sdika, Hélène Ratiney

Magnetic resonance spectroscopy (MRS) is an important technique in biomedical research and it has the unique capability to give a non-invasive access to the biochemical content (me…

cs.CL2018★ 3 cited

Cross-lingual Document Retrieval using Regularized Wasserstein Distance

Georgios Balikas, Charlotte Laclau, Ievgen Redko +1

Many information retrieval algorithms rely on the notion of a good distance that allows to efficiently compare objects of different nature. Recently, a new promising metric called…

cs.CV2018★ 4 cited

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1

We propose a method based on deep learning to perform cardiac segmentation on short axis MRI image stacks iteratively from the top slice (around the base) to the bottom slice (arou…

cs.CV2018★ 41 cited

Bag of Recurrence Patterns Representation for Time-Series Classification

Nima Hatami, Yann Gavet, Johan Debayle

Time-Series Classification (TSC) has attracted a lot of attention in pattern recognition, because wide range of applications from different domains such as finance and health infor…