Search Results for author: Nil Stolt-Ansó

Found 4 papers, 4 papers with code

Direct Cardiac Segmentation from Undersampled K-space Using Transformers

1 code implementation31 May 2024 Yundi Zhang, Nil Stolt-Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert

The prevailing deep learning-based methods of predicting cardiac segmentation involve reconstructed magnetic resonance (MR) images.

Cardiac Segmentation Segmentation

Intensity-based 3D motion correction for cardiac MR images

1 code implementation31 Mar 2024 Nil Stolt-Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert

Cardiac magnetic resonance (CMR) image acquisition requires subjects to hold their breath while 2D cine images are acquired.

Anatomy Position

NISF: Neural Implicit Segmentation Functions

1 code implementation15 Sep 2023 Nil Stolt-Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert

Approaches that rely on convolutional neural networks (CNNs) are limited to grid-like inputs and not easily applicable to sparse or partial measurements.

Cardiac Segmentation Image Segmentation +2

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