Constantin Seibold

Orcid: 0000-0001-6042-8437

According to our database1, Constantin Seibold authored at least 36 papers between 2019 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
CellViT: Vision Transformers for precise cell segmentation and classification.
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

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT.
CoRR, 2024

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information.
CoRR, 2024

CLUE: A Clinical Language Understanding Evaluation for LLMs.
CoRR, 2024

Anatomy-Guided Pathology Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios.
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

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
Towards the automatic generation of medical reports in low supervision scenarios
PhD thesis, 2023

On the Impact of Cross-Domain Data on German Language Models.
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

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

On the Impact of Cross-Domain Data on German Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation.
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

Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 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

Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction.
Proceedings of the 29th European Signal Processing Conference, 2021

Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


  Loading...