Maik Dannecker

Orcid: 0000-0001-9012-9606

According to our database1, Maik Dannecker authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction.
CoRR, March, 2026

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain.
IEEE Trans. Medical Imaging, February, 2026

2025
Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling.
CoRR, December, 2025

Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations.
CoRR, May, 2025

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.
IEEE Trans. Medical Imaging, March, 2025

Predicting Longitudinal Brain Development via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

2024
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Intensity-Based 3D Motion Correction for Cardiac MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2020
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
CoRR, 2020


  Loading...