Kiki Fockens
According to our database1,
Kiki Fockens
authored at least 12 papers
between 2020 and 2025.
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Bibliography
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
2024
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency.
Medical Image Anal., 2024
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, 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, 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
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection.
Proceedings of the Cancer Prevention Through Early Detection, 2022
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks.
Sensors, 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