Florian Kofler
Orcid: 0000-0003-0642-7884
According to our database1,
Florian Kofler
authored at least 57 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
PREDICT-GBM: Platform for Robust Evaluation and Development of Individualized Computational Tumor Models in Glioblastoma.
CoRR, September, 2025
Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset.
CoRR, July, 2025
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.
CoRR, July, 2025
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis.
CoRR, June, 2025
CoRR, May, 2025
IEEE Trans. Medical Imaging, March, 2025
Dataset, January, 2025
Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025
Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis from Hyperspectral Imaging.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2025
2024
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data.
CoRR, 2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
CoRR, 2024
CoRR, 2024
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
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
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
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
CoRR, 2023
Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
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
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023
2022
IEEE Trans. Medical Imaging, 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.
CoRR, 2022
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR, 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 Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
CoRR, 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
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 Interpretable and Annotation-Efficient Learning for Medical Image Computing, 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
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 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