Maarten R. Struyvenberg

According to our database1, Maarten R. Struyvenberg authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency.
Medical Image Anal., 2024

2021
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks.
Sensors, 2020

Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks.
Neural Comput. Appl., 2020

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy.
Comput. Medical Imaging Graph., 2020

Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study.
Artif. Intell. Medicine, 2020

Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


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