Nil Stolt Ansó

According to our database, Nil Stolt Ansó authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Direct Cardiac Segmentation from Undersampled K-Space using Transformers.

Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Intensity-Based 3D Motion Correction for Cardiac MR Images.

Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.

Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler

CoRR, 2023

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.

Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

NISF: Neural Implicit Segmentation Functions.

Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2020

Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks.

Nil Stolt Ansó

CoRR, 2020

2019

Investigation on the generalization of the Sampled Policy Gradient algorithm.

Nil Stolt Ansó

CoRR, 2019

Deep Reinforcement Learning for Pellet Eating in Agar.io.

Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018

Sampled Policy Gradient for Learning to Play the Game Agar.io.

Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering

CoRR, 2018