Thomas de Lange
Orcid: 0000-0003-3989-7487
According to our database1,
Thomas de Lange
authored at least 43 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025
2024
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism.
Multim. Tools Appl., July, 2024
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.
CoRR, 2024
2023
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023
Proceedings of the Cancer Prevention Through Early Detection, 2023
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications.
Proceedings of the Advances in Information Retrieval, 2023
Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations.
CoRR, 2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation.
IEEE J. Biomed. Health Informatics, 2021
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.
Medical Image Anal., 2021
CoRR, 2021
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.
CoRR, 2021
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the IEEE International Symposium on Multimedia, 2019
2018
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis.
Proceedings of the 9th ACM Multimedia Systems Conference, 2018
Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain.
Proceedings of the 9th ACM Multimedia Systems Conference, 2018
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018
Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Deep learning and handcrafted feature based approaches for automatic detection of angiectasia.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System.
ACM Trans. Multim. Comput. Commun. Appl., 2017
Efficient disease detection in gastrointestinal videos - global features versus neural networks.
Multim. Tools Appl., 2017
Proceedings of the 8th ACM on Multimedia Systems Conference, 2017
KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection.
Proceedings of the 8th ACM on Multimedia Systems Conference, 2017
Proceedings of the 8th ACM on Multimedia Systems Conference, 2017
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017
A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017
2016
Proceedings of the 7th International Conference on Multimedia Systems, 2016
Efficient processing of videos in a multi-auditory environment using device lending of GPUs.
Proceedings of the 7th International Conference on Multimedia Systems, 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery.
Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016
Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016