Nil Stolt Ansó

18 papers Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction. CoRR Wenqi Huang, Veronika Spieker, Nil Stolt Ansó, Natascha Niessen, Maik Dannecker, Sevgi Gokce Kafali, Sila Kurugol, Julia A. Schnabel, Daniel Rueckert
2025	J	`jnl`	Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling. CoRR Maik Dannecker, Steven Jia, Nil Stolt Ansó, Nadine Girard, Guillaume Auzias, François Rousseau, Daniel Rueckert
2025	—	`conf`	Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. MICCAI (1) Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rueckert
2025	J	`jnl`	Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. CoRR Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rückert
2024	—	`conf`	Direct Cardiac Segmentation from Undersampled K-Space using Transformers. ISBI Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024	J	`jnl`	Direct Cardiac Segmentation from Undersampled K-space Using Transformers. CoRR Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024	J	`jnl`	Image registration is a geometric deep learning task. CoRR Vasiliki Sideri-Lampretsa, Nil Stolt Ansó, Martin J. Menten, Huaqi Qiu, Julian McGinnis, Daniel Rueckert
2024	—	`conf`	Intensity-Based 3D Motion Correction for Cardiac MR Images. ISBI Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert
2024	J	`jnl`	Intensity-based 3D motion correction for cardiac MR images. CoRR Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert
2023	—	`conf`	Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. MICCAI (10) Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023	J	`jnl`	Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling. CoRR Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023	J	`jnl`	Multi-contrast MRI Super-resolution via Implicit Neural Representations. CoRR 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
2023	—	`conf`	NISF: Neural Implicit Segmentation Functions. MICCAI (4) Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert
2023	—	`conf`	Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. MICCAI (8) 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
2020	J	`jnl`	Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks. CoRR Nil Stolt Ansó
2019	—	`conf`	Deep Reinforcement Learning for Pellet Eating in Agar.io. ICAART (2) Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering
2019	J	`jnl`	Investigation on the generalization of the Sampled Policy Gradient algorithm. CoRR Nil Stolt Ansó
2018	J	`jnl`	Sampled Policy Gradient for Learning to Play the Game Agar.io. CoRR Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering