Thomas de Lange

Orcid: 0000-0003-3989-7487

According to our database1, Thomas de Lange authored at least 40 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Image Captioning for Automated Grading and Understanding of Ulcerative Colitis.
Proceedings of the Cancer Prevention Through Early Detection, 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

Man vs. AI: An in silico study of polyp detection performance.
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

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation.
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

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Kvasir-SEG: A Segmented Polyp Dataset.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019

ResUNet++: An Advanced Architecture for Medical Image Segmentation.
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

Medico Multimedia Task at MediaEval 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

Nerthus: A Bowel Preparation Quality Video Dataset.
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

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection.
Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

Multimedia for Medicine: The Medico Task at MediaEval 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
Computer aided disease detection system for gastrointestinal examinations.
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

Multimedia and Medicine: Teammates for Better Disease Detection and Survival.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

GPU-Accelerated Real-Time Gastrointestinal Diseases Detection.
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

EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies.
Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016


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