USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging.

[BibT_eX]

[DOI]

Sophie Ostmeier

Brian Axelrod

Benjamin F. J. Verhaaren

Medical Image Anal., December, 2023

Augmented reality guidance platform for epicardial access: a phantom study.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2022

Deep learning-based dental implant recognition using synthetic X-ray images.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2022

DeepVoxNet2: Yet another CNN framework.

[BibT_eX]

[DOI]

CoRR, 2022

Convolutional neural networks for medical image segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Final infarct prediction in acute ischemic stroke.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations.

[BibT_eX]

[DOI]

CoRR, 2022

The Dice loss in the context of missing or empty labels: Introducing Φ and ε.

[BibT_eX]

[DOI]

CoRR, 2022

The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Improving T1w MRI-based brain tumor segmentation using cross-modal distillation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients.

[BibT_eX]

[DOI]

CoRR, 2020

Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice.

[BibT_eX]

[DOI]

CoRR, 2019

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Optimization with Soft Dice Can Lead to a Volumetric Bias.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke.

[BibT_eX]

[DOI]