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20152025
most cited3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations

40 citations · 151 across the 14 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.IV2019★ 17 cited

Adaptive-CS-Net: FastMRI with Adaptive Intelligence

Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi +9

Adaptive intelligence aims at empowering machine learning techniques with the extensive use of domain knowledge. In this work, we present the application of adaptive intelligence t…

eess.IV2019

Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries

Kirsten Koolstra, Peter Börnert, Boudewijn Lelieveldt +2

In Magnetic Resonance Fingerprinting (MRF) the quality of the estimated parameter maps depends on the encoding capability of the variable flip angle train. In this work we show how…

q-bio.GN2019

A community-based transcriptomics classification and nomenclature of neocortical cell types

Rafael Yuste, Michael Hawrylycz, Nadia Aalling +68

To understand the function of cortical circuits it is necessary to classify their underlying cellular diversity. Traditional attempts based on comparing anatomical or physiological…

eess.IV2019★ 40 cited

3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations

Hessam Sokooti, Bob de Vos, Floris Berendsen +5

We propose a supervised nonrigid image registration method, trained using artificial displacement vector fields (DVF), for which we propose and compare three network architectures.…

eess.IV2019★ 38 cited

Quantitative Error Prediction of Medical Image Registration using Regression Forests

Hessam Sokooti, Gorkem Saygili, Ben Glocker +2

Predicting registration error can be useful for evaluation of registration procedures, which is important for the adoption of registration techniques in the clinic. In addition, qu…