Albert Jeroen de Groof
According to our database1,
Albert Jeroen de Groof authored at least 12 papers
between 2019 and 2026.
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Bibliography
2026
Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia.
CoRR, April, 2026
2025
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization.
Medical Image Anal., 2025
Designing a Computer-Aided Detection system for Barrett 's neoplasia: Insights in architectural choices, training strategies and inference approaches.
Comput. Methods Programs Biomed., 2025
Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling.
Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025
WaveDamp: Enhancing Natural Robustness in Endoscopy Through Wavelet-Based Frequency Damping.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
2024
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies.
Medical Image Anal., 2024
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024
2023
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos.
Proceedings of the Cancer Prevention Through Early Detection, 2022
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