Stefan Denner

Orcid: 0009-0008-2302-743X

According to our database1, Stefan Denner authored at least 16 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Automated Ensemble Multimodal Machine Learning for Healthcare.
IEEE J. Biomed. Health Informatics, June, 2025

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection.
CoRR, April, 2025

Real-world federated learning in radiology: hurdles to overcome and benefits to gain.
J. Am. Medical Informatics Assoc., 2025

Leveraging foundation models for content-based image retrieval in radiology.
Comput. Biol. Medicine, 2025

Abstract: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024
Visual Prompt Engineering for Medical Vision Language Models in Radiology.
CoRR, 2024

Automatic classification of prostate MR series type using image content and metadata.
CoRR, 2024

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.
CoRR, 2024

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology.
CoRR, 2024

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024


2023
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

2021
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study.
Medical Image Anal., 2021

2020
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020


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