Jan Kirschke
Orcid: 0000-0002-7557-0003
According to our database1,
Jan Kirschke
authored at least 57 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning.
BMC Medical Imaging, December, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
Numerical simulation of individual coil placement - A proof-of-concept study for the prediction of recurrence after aneurysm coiling.
CoRR, 2024
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR, 2024
CoRR, 2024
2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR, 2023
Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR, 2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
CoRR, 2023
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading.
CoRR, 2023
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
CoRR, 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 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
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.
Medical Image Anal., 2021
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images.
CoRR, 2021
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data.
CoRR, 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR, 2021
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
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
Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020
2019
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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
2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018
Robust and parallel scalable iterative solutions for large-scale finite cell analyses.
CoRR, 2018
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.
CoRR, 2018
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
2017
A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets.
CoRR, 2017
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017
2016
Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016