Johannes C. Paetzold
According to our database1,
Johannes C. Paetzold
authored at least 55 papers
between 2019 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Whole Brain Vasculature Analysis Using Advanced Learning Models (Fortgeschrittene Machine Learning Konzepte für die Analyse der Blutgefäße des Hirns)
PhD thesis, 2023
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal., 2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.
CoRR, 2023
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE Trans. Medical Imaging, 2022
Frontiers Artif. Intell., 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR, 2022
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
Proceedings of the Machine Learning for Health, 2022
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images.
CoRR, 2021
CoRR, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR, 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR, 2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging.
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.
Proceedings of the Information Processing in Medical Imaging, 2021
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
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.
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.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis.
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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019