Fons van der Sommen

Orcid: 0000-0002-3593-2356

Affiliations:
  • 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.

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

Timeline

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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
Supervised Representation Learning Towards Generalizable Assembly State Recognition.
IEEE Robotics Autom. Lett., November, 2024

Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries.
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

Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
CoRR, 2024

Find the Assembly Mistakes: Error Segmentation for Industrial Applications.
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


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

Retaining Informative Latent Variables in Probabilistic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Evaluating Confidence Calibration in Endoscopic Diagnosis Models.
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

A signal processing interpretation of noise-reduction convolutional neural networks.
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

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

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

How does image quality affect computer-aided diagnosis of colorectal polyps?
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
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks.
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

Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray.
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

Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network.
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
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT.
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

Triplet network for classification of benign and pre-malignant polyps.
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

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems.
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

Influence of decoder size for binary segmentation tasks in medical imaging.
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

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks.
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


Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Bladder Cancer Segmentation on Multispectral Images.
Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018

2017
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications.
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

Sweet-spot training for early esophageal cancer detection.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Early esophageal cancer detection using RF classifiers.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Automatic assessment of informative frames in endoscopic video.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Real-time semantic context labeling for image understanding.
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

Computer-aided detection of early cancer in the esophagus using HD endoscopy images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013


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