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)

Deep Reinforcement Learning for Pellet Eating in Agar.io. - Nil Stolt Ansó; Anton Orell Wiehe; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2019)

Investigation on the generalization of the Sampled Policy Gradient algorithm. - Nil Stolt Ansó (CoRR, 2019)

Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks. - Nil Stolt Ansó (CoRR, 2020)

NISF: Neural Implicit Segmentation Functions. - Nil Stolt Ansó; Julian McGinnis; Jiazhen Pan; Kerstin Hammernik; Daniel Rueckert (MICCAI (4), 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 (MICCAI (8), 2023)

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. - Jiazhen Pan; Suprosanna Shit; Özgün Turgut; Wenqi Huang 003; Hongwei Bran Li; Nil Stolt Ansó; Thomas Küstner; Kerstin Hammernik; Daniel Rueckert (MICCAI (10), 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)

Intensity-Based 3D Motion Correction for Cardiac MR Images. - Nil Stolt Ansó; Vasiliki Sideri-Lampretsa; Maik Dannecker; Daniel Rueckert (ISBI, 2024)

Direct Cardiac Segmentation from Undersampled K-Space using Transformers. - Yundi Zhang; Nil Stolt Ansó; Jiazhen Pan; Wenqi Huang 003; Kerstin Hammernik; Daniel Rueckert (ISBI, 2024)

Image registration is a geometric deep learning task. - Vasiliki Sideri-Lampretsa; Nil Stolt Ansó; Martin J. Menten; Huaqi Qiu; Julian McGinnis; Daniel Rueckert (CoRR, 2024)

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. - Alexander Selivanov; Philip Müller; Özgün Turgut; Nil Stolt Ansó; Daniel Rückert (CoRR, 2025)