Minu Tizabi

Orcid: 0000-0003-3687-6381

Affiliations:
  • German Cancer Research Center (DKFZ), Heidelberg, Germany


According to our database1, Minu Tizabi authored at least 29 papers between 2020 and 2024.

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Bibliography

2024
Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural Networks.
IEEE Trans. Medical Imaging, September, 2024

Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis.
CoRR, 2024


Quality Assured: Rethinking Annotation Strategies in Imaging AI.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Efficient Photoacoustic Image Synthesis with Deep Learning.
Sensors, August, 2023

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

Labelling instructions matter in biomedical image analysis.
Nat. Mac. Intell., March, 2023

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

Why is the winner the best?
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

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

Deployment of Image Analysis Algorithms Under Prevalence Shifts.
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

Abstract: Tattoo-Tomographie - Freihand-3D-Photoakustik und multimodale Bildfusion.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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

Surgical data science - from concepts toward clinical translation.
Medical Image Anal., 2022

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

Labeling instructions matter in biomedical image analysis.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 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

Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis.
CoRR, 2021

Semantic segmentation of multispectral photoacoustic images using deep learning.
CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.
CoRR, 2021

Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis.
CoRR, 2021

Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern.
Int. J. Comput. Assist. Radiol. Surg., 2021

2020
Surgical Data Science - from Concepts to Clinical Translation.
CoRR, 2020

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


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