Fons van der Sommen
Orcid: 0000-0002-3593-2356Affiliations:
- Eindhoven University of Technology, Department of Electrical Engineering
According to our database1,
Fons van der Sommen
authored at least 98 papers
between 2013 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
IEEE Trans. Image Process., 2024
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies.
Medical Image Anal., 2024
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency.
Medical Image Anal., 2024
CoRR, 2024
CoRR, 2024
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 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
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs.
IEEE Signal Process. Mag., November, 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.
CoRR, 2023
CoRR, 2023
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 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
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization.
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
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE Trans. Medical Imaging, 2022
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data.
Mach. Vis. Appl., 2022
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features.
Proceedings of the Cancer Prevention Through Early Detection, 2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows.
Proceedings of the Cancer Prevention Through Early Detection, 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
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
Colorectal polyp classification using confidence-calibrated convolutional neural networks.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
IEEE Trans. Image Process., 2021
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows.
CoRR, 2021
Automatic image and text-based description for colorectal polyps using BASIC classification.
Artif. Intell. Medicine, 2021
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 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
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 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
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
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
2020
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery.
Sensors, 2020
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach.
Sensors, 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
IEEE Access, 2020
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 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
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks.
Proceedings of the Medical Imaging 2019: Digital Pathology, 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
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation.
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
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy.
Comput. Medical Imaging Graph., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018
2017
CoRR, 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
2016
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Supportive automatic annotation of early esophageal cancer using local gabor and color features.
Neurocomputing, 2014
2013
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy.
Proceedings of the VISAPP 2013, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013