Jacques J. Bergman

Orcid: 0000-0001-7548-6955

According to our database1, Jacques J. Bergman authored at least 24 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

Investigating the Impact of Image Quality on Endoscopic AI Model Performance.
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
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

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

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

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, 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

2018
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy.
Comput. Medical Imaging Graph., 2018

2017
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017


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