Tim Adler

Orcid: 0000-0002-3424-6629

According to our database1, Tim Adler authored at least 25 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Sources of performance variability in deep learning-based polyp detection.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

Beyond rankings: Learning (more) from algorithm validation.
Medical Image Anal., May, 2023

Uncertainty Quantification in Biophotonic Imaging using Invertible Neural Networks
PhD thesis, 2023

Application-driven Validation of Posteriors in Inverse Problems.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

Self-distillation for Surgical Action Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised Domain Transfer with Conditional Invertible Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022

Robust deep learning-based semantic organ segmentation in hyperspectral images.
Medical Image Anal., 2022

Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

Correction to: Robust hand tracking for surgical telestration.
Int. J. Comput. Assist. Radiol. Surg., 2022

Robust hand tracking for surgical telestration.
Int. J. Comput. Assist. Radiol. Surg., 2022

Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy.
Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

Heterogeneous Model Ensemble For Automatic Polyp Segmentation In Endoscopic Video Sequences.
Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

2021
Video-rate multispectral imaging in laparoscopic surgery: First-in-human application.
CoRR, 2021

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.
CoRR, 2020

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room.
CoRR, 2020

Light source calibration for multispectral imaging in surgery.
Int. J. Comput. Assist. Radiol. Surg., 2020

2019
Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI).
CoRR, 2019

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019

Out of Distribution Detection for Intra-operative Functional Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2018
Confidence Estimation for Machine Learning-Based Quantitative Photoacoustics.
J. Imaging, 2018


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