Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.

[BibT_eX]

[DOI]

Florian Kofler

Ivan Ezhov

CoRR, 2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.

[BibT_eX]

[DOI]

CoRR, 2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FedCostWAvg: A New Averaging for Better Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.

[BibT_eX]

[DOI]

CoRR, 2020

Real-time Bayesian personalization via a learnable brain tumor growth model.

[BibT_eX]

[DOI]

CoRR, 2020

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.

[BibT_eX]

[DOI]

Nicolás Pérez de Olaguer

Alexandre Kirszenberg

Mohanasankar Sivaprakasam

Alexander Valentinitsch

Markus Rempfler

Björn H. Menze

Jan S. Kirschke

CoRR, 2020

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Aν-Net: Automatic Detection and Segmentation of Aneurysm.

[BibT_eX]

[DOI]

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images.

[BibT_eX]

[DOI]

Vasilis Ntziachristos

Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Inferring the 3D Standing Spine Posture from 2D Radiographs.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis.

[BibT_eX]

[DOI]

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

A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information.

[BibT_eX]

[DOI]

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

Johannes C. Paetzold

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