Robin Sandkühler

Orcid: 0000-0002-1243-0759

According to our database1, Robin Sandkühler authored at least 24 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Augmented reality for sentinel lymph node biopsy.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

2023
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis.
CoRR, 2023

Diffusion Models for Memory-efficient Processing of 3D Medical Images.
CoRR, 2023

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

Denoising Diffusion Models for Memory-efficient Processing of 3D Medical Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models.
CoRR, 2022

Diffusion Models for Implicit Image Segmentation Ensembles.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Position Regression for Unsupervised Anomaly Detection.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Diffusion Models for Medical Anomaly Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis.
CoRR, 2021

Comparison of Methods Generalizing Max- and Average-Pooling.
CoRR, 2021

2020
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center.
CoRR, 2019

Recurrent Registration Neural Networks for Deformable Image Registration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Weakly Supervised Learning Strategy for Lung Defect Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Gated Recurrent Neural Networks for Accelerated Ventilation MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
AirLab: Autograd Image Registration Laboratory.
CoRR, 2018

Adaptive Graph Diffusion Regularisation for Discontinuity Preserving Image Registration.
Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

An Inhomogeneous Multi-resolution Regularization Concept for Discontinuity Preserving Image Registration.
Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

Motion Aware MR Imaging via Spatial Core Correspondence.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Respiratory Motion Modelling Using cGANs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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