Felix Meissen

Orcid: 0000-0002-2557-2131

According to our database1, Felix Meissen authored at least 16 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art.
IEEE Trans. Medical Imaging, January, 2024

Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings.
CoRR, 2024

MAIRA-2: Grounded Radiology Report Generation.
CoRR, 2024

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling.
CoRR, 2024

Interactive Generation of Laparoscopic Videos with Diffusion Models.
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection.
CoRR, 2023

(Predictable) Performance Bias in Unsupervised Anomaly Detection.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

Anatomy-Driven Pathology Detection on Chest X-rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023


2022
On the Pitfalls of Using the Residual Error as Anomaly Score.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Unsupervised Anomaly Localization with Structural Feature-Autoencoders.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021


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