Jens Kleesiek
Orcid: 0000-0001-8686-0682Affiliations:
- University Hospital Essen, Germany
According to our database1,
Jens Kleesiek
authored at least 137 papers
between 2010 and 2024.
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.
J. Medical Syst., December, 2024
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.
IEEE J. Biomed. Health Informatics, January, 2024
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping.
Comput. Methods Programs Biomed., January, 2024
Privacy-preserving large language models for structured medical information retrieval.
npj Digit. Medicine, 2024
npj Digit. Medicine, 2024
Medical Image Anal., 2024
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)].
Medical Image Anal., 2024
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy.
Medical Image Anal., 2024
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks.
CoRR, 2024
De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy.
CoRR, 2024
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data.
CoRR, 2024
Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints.
CoRR, 2024
CoRR, 2024
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT.
CoRR, 2024
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.
CoRR, 2024
CoRR, 2024
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.
CoRR, 2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain.
CoRR, 2024
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction.
CoRR, 2024
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods.
CoRR, 2024
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation.
CoRR, 2024
CoRR, 2024
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.
Comput. Methods Programs Biomed., 2024
Comput. Methods Programs Biomed., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Enhancing Contrastive Training for Semi-Supervised Chest X-Ray Analysis Through Gaussian Mixture Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.
Proceedings of the Computer Vision - ECCV 2024, 2024
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient.
BMC Medical Imaging, December, 2023
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Medical Image Anal., August, 2023
Medical Image Anal., April, 2023
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine.
CoRR, 2023
CoRR, 2023
Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision.
CoRR, 2023
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines.
CoRR, 2023
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.
CoRR, 2023
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.
CoRR, 2023
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology.
Comput. Medical Imaging Graph., 2023
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
CoRR, 2022
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare.
CoRR, 2022
Comput. Methods Programs Biomed., 2022
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
CODEX Meets RACOON - A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data.
Proceedings of the German Medical Data Sciences 2022 - Future Medicine: More Precise, More Integrative, More Sustainable! - Proceedings of the Joint Conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 14th Annual Meeting of the TMF, 2022
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data.
npj Digit. Medicine, 2021
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation.
CoRR, 2021
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo.
CoRR, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
2017
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1.
Dataset, May, 2017
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.0.
Dataset, May, 2017
2016
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.12.0-rc1.
Dataset, April, 2016
IEEE Trans. Medical Imaging, 2016
NeuroImage, 2016
2015
Crutchfield Information Metric for Quantifying the Inter-sequence Relationship of Multiparametric MRI Data.
Proceedings of the BIOIMAGING 2015, 2015
Crutchfield Information Metric: A Valid Tool for Quality Control of Multiparametric MRI Data?
Proceedings of the Biomedical Engineering Systems and Technologies, 2015
2012
PhD thesis, 2012
Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012
What do Objects Feel Like? - Active Perception for a Humanoid Robot.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012
2011
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011
2010
J. Comput. Chem., 2010