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Fons van der Sommen
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- affiliation: Eindhoven University of Technology, Department of Electrical Engineering
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2020 – today
- 2025
- [j19]Carolus H. J. Kusters
, Tim J. M. Jaspers
Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization. Medical Image Anal. 99: 103348 (2025) - [e3]Sharib Ali
Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15199, Springer 2025, ISBN 978-3-031-73375-8 [contents] - 2024
- [j18]Tim J. M. Jaspers
Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies. Medical Image Anal. 94: 103157 (2024) - [j17]Tim Boers
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency. Medical Image Anal. 98: 103298 (2024) - [j16]Tim J. Schoonbeek
Supervised Representation Learning Towards Generalizable Assembly State Recognition. IEEE Robotics Autom. Lett. 9(11): 9915-9922 (2024) - [j15]Christiaan G. A. Viviers
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. IEEE Trans. Image Process. 33: 2462-2476 (2024) - [c72]Nikoo Dehghani, Ayla Thijssen, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Evaluating Confidence Calibration in Endoscopic Diagnosis Models. CVPR Workshops 2024: 5020-5025 - [c71]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud van Sloun, Peter H. N. de With, Fons van der Sommen:
Retaining Informative Latent Variables in Probabilistic Segmentation. ICASSP 2024: 5635-5639 - [c70]Willem J. Menu, Nikoo Dehghani, Peter H. N. de With, Fons van der Sommen:
Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models. ISBI 2024: 1-5 - [c69]Joris V. de Nijs, Tim J. M. Jaspers, Franciscus H. A. Bakker, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy. ISBI 2024: 1-5 - [c68]Cris H. B. Claessens
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning. CaPTion@MICCAI 2024: 3-13 - [c67]Tim J. M. Jaspers
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision. DEMI@MICCAI 2024: 43-53 - [c66]Carolus H. J. Kusters
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. CaPTion@MICCAI 2024: 83-92 - [c65]Lemar Abdi, M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen:
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. UNSURE@MICCAI 2024: 149-159 - [c64]Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766 - [c63]Tim J. Schoonbeek
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. WACV 2024: 4353-4362 - [i16]Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen:
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. CoRR abs/2405.11677 (2024) - [i15]Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, Tijn Zeelenberg, Carolus H. J. Kusters, Yiping Li, Romy C. van Jaarsveld, Franciscus H. A. Bakker, Jelle P. Ruurda, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen:
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision. CoRR abs/2407.17904 (2024) - [i14]Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Supervised Representation Learning towards Generalizable Assembly State Recognition. CoRR abs/2408.11700 (2024) - [i13]Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Find the Assembly Mistakes: Error Segmentation for Industrial Applications. CoRR abs/2408.12945 (2024) - [i12]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? CoRR abs/2409.03043 (2024) - 2023
- [j14]Luis Albert Zavala-Mondragón
A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs. IEEE Signal Process. Mag. 40(7): 38-63 (2023) - [c62]Christiaan G. A. Viviers, Mark Ramaekers, M. M. Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter H. N. de With, Misha Luyer, Fons van der Sommen:
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. ICCV (Workshops) 2023: 2413-2423 - [c61]T. G. W. Boers, Carolus H. J. Kusters
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. Computer-Aided Diagnosis 2023 - [c60]Nikoo Dehghani, Thom Scheeve, T. G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. Computer-Aided Diagnosis 2023 - [c59]Terese Hellström, Christiaan G. A. Viviers
Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation. Computer-Aided Diagnosis 2023 - [c58]Carolus H. J. Kusters
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. Computer-Aided Diagnosis 2023 - [c57]Thom Scheeve
How does image quality affect computer-aided diagnosis of colorectal polyps? Computer-Aided Diagnosis 2023 - [c56]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen:
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. Computer-Aided Diagnosis 2023 - [c55]Carolus H. J. Kusters
CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis. AMAI@MICCAI 2023: 21-31 - [c54]Tim J. M. Jaspers
Investigating the Impact of Image Quality on Endoscopic AI Model Performance. AMAI@MICCAI 2023: 32-41 - [c53]Sanne E. Okel, Christiaan G. A. Viviers, Mark Ramaekers, Terese Hellström, Nick Tasios, Dimitrios Mavroeidis, Jon R. Pluyter, Igor Jacobs, Misha Luyer, Peter H. N. de With, Fons van der Sommen:
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. AMAI@MICCAI 2023: 52-61 - [c52]Tim J. Schoonbeek
Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings. VR Workshops 2023: 881-882 - [e2]Sharib Ali
Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14295, Springer 2023, ISBN 978-3-031-45349-6 [contents] - [i11]Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen:
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. CoRR abs/2305.00950 (2023) - [i10]Luis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen:
A signal processing interpretation of noise-reduction convolutional neural networks. CoRR abs/2307.13425 (2023) - [i9]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. CoRR abs/2307.16694 (2023) - [i8]Christiaan G. A. Viviers
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. CoRR abs/2310.00639 (2023) - [i7]Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen:
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. CoRR abs/2310.17323 (2023) - 2022
- [j13]Tim Houben
Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data. Mach. Vis. Appl. 33(4): 56 (2022) - [j12]Luis Albert Zavala-Mondragón
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks. IEEE Trans. Medical Imaging 41(8): 2048-2066 (2022) - [c51]Koen C. Kusters, Thom Scheeve
Colorectal polyp classification using confidence-calibrated convolutional neural networks. Computer-Aided Diagnosis 2022 - [c50]Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jacques J. G. H. M. Bergman, Peter H. N. de With:
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. Computer-Aided Diagnosis 2022 - [c49]Carolus H. J. Kusters
A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. CaPTion@MICCAI 2022: 89-98 - [c48]M. M. Amaan Valiuddin, Christiaan G. A. Viviers
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. CaPTion@MICCAI 2022: 99-107 - [c47]Nikoo Dehghani, Thom Scheeve
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. CaPTion@MICCAI 2022: 108-117 - [c46]T. G. W. Boers, Carolus H. J. Kusters
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. CaPTion@MICCAI 2022: 131-138 - [c45]Christiaan G. A. Viviers
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CaPTion@MICCAI 2022: 139-148 - [c44]Christiaan G. A. Viviers
Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray. Image-Guided Procedures 2022 - [c43]Kurt Stolle, Sebastian Vogel, Fons van der Sommen
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search. ECML/PKDD (5) 2022: 463-479 - [e1]Sharib Ali
Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13581, Springer 2022, ISBN 978-3-031-17978-5 [contents] - [i6]Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. CoRR abs/2208.03581 (2022) - [i5]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. CoRR abs/2208.04639 (2022) - [i4]Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray. CoRR abs/2211.03211 (2022) - 2021
- [j11]Roger Fonolla, Quirine E. W. van der Zander
Automatic image and text-based description for colorectal polyps using BASIC classification. Artif. Intell. Medicine 121: 102178 (2021) - [j10]Luis Albert Zavala-Mondragón
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT. IEEE Trans. Image Process. 30: 9386-9401 (2021) - [c42]Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni:
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. CIKM Workshops 2021 - [c41]Koen C. Kusters, Luis Albert Zavala-Mondragón
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content. EMBC 2021: 2682-2687 - [c40]Stefan Cornelissen
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. ICIP 2021: 66-70 - [c39]Roger Fonolla, Maciej Smyl, Fons van der Sommen
Triplet network for classification of benign and pre-malignant polyps. Computer-Aided Diagnosis 2021 - [c38]Sanne E. Okel, Fons van der Sommen
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks. Computer-Aided Diagnosis 2021 - [c37]M. M. Amaan Valiuddin, Christiaan G. A. Viviers
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. UNSURE/PIPPI@MICCAI 2021: 75-88 - [c36]Francesca Manni, Chuchen Cai, Fons van der Sommen
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. Image-Guided Procedures 2021 - [c35]Francesca Manni, Cyril J. Ferrer, Celine E. C. Vincent, Marco Lai, Lambertus W. Bartels, Clemens Bos, Fons van der Sommen
Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy. Image-Guided Procedures 2021 - [c34]Endi Selmanaj, Fons van der Sommen
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach. Image Processing 2021 - [c33]Luis Albert Zavala-Mondragón
Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging. Image Processing 2021 - [i3]M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. CoRR abs/2108.02155 (2021) - 2020
- [j9]Joost van der Putten
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems. IEEE Access 8: 169444-169455 (2020) - [j8]Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Tim Boers, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. Artif. Intell. Medicine 107: 101914 (2020) - [j7]Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy. Comput. Medical Imaging Graph. 80: 101701 (2020) - [j6]Joost van der Putten
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. 32(14): 10705-10717 (2020) - [j5]Francesca Manni
Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery. Sensors 20(13): 3641 (2020) - [j4]Tim Boers, Joost van der Putten
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 20(15): 4133 (2020) - [j3]Francesca Manni
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. Sensors 20(23): 6955 (2020) - [c32]Francesca Manni, Roger Fonollá, Fons van der Sommen
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery. EMBC 2020: 1169-1173 - [c31]Luis Albert Zavala-Mondragón
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections. ISBI 2020: 867-871 - [c30]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Computer-Aided Diagnosis 2020 - [c29]Levi Verhage, Joost van der Putten, Fons van der Sommen
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning. Computer-Aided Diagnosis 2020 - [c28]T. G. W. Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Fons van der Sommen
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Image Processing 2020: 1131315 - [c27]Joost van der Putten, Fons van der Sommen
Influence of decoder size for binary segmentation tasks in medical imaging. Image Processing 2020: 1131318 - [c26]Luis Albert Zavala-Mondragón
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks. MLSP 2020: 1-6
2010 – 2019
- 2019
- [c25]Francesca Manni, Xin Liu, Ronald Holthuizen
Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. EMBC 2019: 3909-3914 - [c24]Michelle C. A. van Grinsven, Thom Scheeve
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models. ICIP 2019: 210-214 - [c23]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP 2019: 380-384 - [c22]Roger Fonollá, Fons van der Sommen
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. ISBI 2019: 74-78 - [c21]Farhad Ghazvinian Zanjani, Andreas Panteli, Svitlana Zinger, Fons van der Sommen
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. ISBI 2019: 674-678 - [c20]Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131 - [c19]Thom Scheeve
A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. Computer-Aided Diagnosis 2019: 109501Y - [c18]Thom Scheeve
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging. Computer-Aided Diagnosis 2019: 1095012 - [c17]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI 2019: 169-177 - [c16]J. van Kersbergen, Farhad Ghazvinian Zanjani, Sveta Zinger, Fons van der Sommen
Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks. Digital Pathology 2019: 109560I - [c15]Francesca Manni, Fons van der Sommen
Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging. Image-Guided Procedures 2019: 109512K - [c14]Joost van der Putten, Fons van der Sommen
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Image Processing 2019: 109492J - 2018
- [j2]Fons van der Sommen
Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. Comput. Medical Imaging Graph. 67: 9-20 (2018) - [c13]Joost van der Putten
Bladder Cancer Segmentation on Multispectral Images. ICDSC 2018: 13:1-13:4 - [c12]Sjors van Riel, Fons van der Sommen
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning. ICIP 2018: 1383-1387 - [c11]Joost van der Putten
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma. Computer-Aided Diagnosis 2018: 105753O - [c10]Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [i2]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - 2017
- [c9]Alexandros Rikos, Fons van der Sommen
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. CBMS 2017: 708-713 - [c8]Sander Klomp
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. Computer-Aided Diagnosis 2017: 101340D - [i1]Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane, Yanling Chen, Peter H. N. de With, Héla Gassara, Hamed Gharbi, Adel Ghazel, Khaled Grati, Naira M. Grigoryan, Ashot N. Harutyunyan, Masayuki Imanishi, Mitsugu Iwamoto, Ken-ichi Iwata, Hiroshi Kamabe, Brian M. Kurkoski, Shigeaki Kuzuoka, Patrick Langenhuizen, Jan Lewandowsky, Akiko Manada, Shigeki Miyake, Hiroyoshi Morita, Jun Muramatsu, Safa Najjar, Arnak V. Poghosyan, Fatma Rouissi, Yuta Sakai, Ulrich Tamm, Joost van der Putten, Fons van der Sommen, A. J. Han Vinck, Tadashi Wadayama, Dirk Wübben, Hirosuke Yamamoto:
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications. CoRR abs/1707.08567 (2017) - 2016
- [c7]Norbertus Christianus van Dongen, Fons van der Sommen
Automatic assessment of informative frames in endoscopic video. ISBI 2016: 119-122 - [c6]Markus H. A. Janse, Fons van der Sommen
Early esophageal cancer detection using RF classifiers. Computer-Aided Diagnosis 2016: 97851D - [c5]Fons van der Sommen
Sweet-spot training for early esophageal cancer detection. Computer-Aided Diagnosis 2016: 97851B - [c4]Fons van der Sommen
Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry. Image-Guided Procedures 2016: 97860D - 2015
- [c3]Martin A. R. Pieck, Fons van der Sommen
Real-time semantic context labeling for image understanding. ICIP 2015: 3180-3184 - 2014
- [j1]Fons van der Sommen
Supportive automatic annotation of early esophageal cancer using local gabor and color features. Neurocomputing 144: 92-106 (2014) - 2013
- [c2]Fons van der Sommen
Computer-aided detection of early cancer in the esophagus using HD endoscopy images. Computer-Aided Diagnosis 2013: 86700V - [c1]Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With:
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy. VISAPP (1) 2013: 238-243
Coauthor Index
Jacques J. Bergman
aka: Jacques J. G. H. M. Bergman
aka: Jacques J. G. H. M. Bergman
T. G. W. Boers
aka: Tim Boers
aka: Tim Boers
Kiki Fockens
aka: Kiki N. Fockens
aka: Kiki N. Fockens
Jelmer Jukema
aka: Jelmer B. Jukema
aka: Jelmer B. Jukema
Joost van der Putten
aka: Joost A. van der Putten
aka: Joost A. van der Putten
[j19] [j18] [j17] [j16] [j15] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [i16] [i15] [i14] [i13] [i12] [j14] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i11] [i10] [i9] [i8] [i7] [j13] [j12] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [i6] [i5] [i4] [j11] [j10] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i3] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [j2] [c13] [c12] [c11] [c9] [c8] [i1] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
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last updated on 2024-12-10 20:49 CET by the dblp team
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