Jeroen de Groof
  According to our database1,
  Jeroen de Groof
  authored at least 13 papers
  between 2019 and 2024.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2024
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency.
    
  
    Medical Image Anal., 2024
    
  
  2023
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration.
    
  
    Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
    
  
  2022
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection.
    
  
    Proceedings of the Cancer Prevention Through Early Detection, 2022
    
  
  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
    
  
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