Publications

 Journal articles


2018

  • Novel developments in endoscopic mucosal imaging.
    F. van der Sommen, W.L. Curvers, W.B. Nagengast
    Gastroenterologyvol. 154 (7), 2018, pp. 1876-1886, ISSN: 0016-5085, IF 20.773 (2017).
    doi:10.1053/j.gastro.2018.01.070

  • Predictive features for early cancer detection in Barrett's esophagus using volumetric laser endomicroscopy.
    F. van der Sommen, S.R. Klomp, A. Swager, S. Zinger, W.L. Curvers, J.J. Bergman, E.J. Schoon, P.H.N. de With,
    Accepted for publication in Computerized Medical Imaging and Graphics, ISSN: 0895-6111, IF 2.435 (2017)
    doi:10.1016/j.compmedimag.2018.02.007

2017

  • Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy.
    A. Swager, F. van der Sommen, S.R. Klomp, S. Zinger, S.L. Meijer, E.J. Schoon, J.J. Bergman, P.H.N. de With, W.L. Curvers,
    Gastrointestinal Endoscopy, vol. 86 (5), 2017, pp. 839-846, ISSN: 0016-5107, IF 6.217 (2015).
    doi:10.1016/j.gie.2017.03.011 

2016

  • Computer-Aided Detection of Early Neoplastic Lesions in Barrett’s Esophagus.
    F. van der Sommen, S. Zinger, W.L. Curvers, R. Bisschops, O. Pech, B.L.A.M. Weusten, J.J. Bergman, P.H.N. de With, E.J. Schoon, 
    Endoscopy, vol. 48 (7), 2016, pp. 617-624, ISSN: 1438-8812, IF 5.634 (2015).
    doi:10.1055/s-0042-105284

2014

  • Supportive automatic annotation of early esophageal cancer using local Gabor and color features.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With, 
    Neurocomputing, vol. 144, November 2014, pp. 92-106, ISSN: 0925-2312, IF 2.392 (2015).
    doi:10.1016/j.neucom.2014.02.066


International conference contributions 


2018

  • [Accepted] Automatic Detection of Early Esophageal Cancer with CNNs Using Transfer Learning'.
    S. van Riel, F. van der Sommen, S. Zinger, E. J. Schoon, P. H. N. de With,
    Accepted for presentation at the IEEE Int'l Conference on Image Processing (ICIP), 7-10 October 2018, Athens, Greece,

  • Quantitive CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.
    J. A. van der Putten, S. Zinger, F. van der Sommen, P. H. N. de With, M. Prokop & Hermans, J. 
    Presented at SPIE Medical Imaging, February 2018, Houston, TX, USA.
    Published in proc. SPIE 10575, pp. 1057530-1 to 12, SPIE 2018
    doi:10.1117/12.2291746

2017

  • Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy scans using Multiple-Frame Voting.
    A. Rikos, F. van der Sommen, A. Swager, S. Zinger, E. J. Schoon, W. L. Curvers, J. J. Bergman, P. H. N. de With,
    Presented at the IEEE Int'l Conf. on Computer-Based Medical Systems (CBMS), June 2017, Thessaloniki, Greece.
    doi:10.1109/CBMS.2017.31

  • Evaluation of image features and classi cation methods for Barrett's cancer detection using VLE imaging.
    S. Klomp, F. van der Sommen, A. Swager, S. Zinger, E. J. Schoon, W. L. Curvers, J. J. Bergman, P. H. N. de With,
    Presented at SPIE Medical Imaging, February 2017, Orlando, FL, USA.
    Published in proc. SPIE 10134, pp. 101340D-1 to 10, SPIE 2017
    doi:10.1117/12.2253860

2016

  • Feasibility of a computer algorithm for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy.
    A. Swager, F. van der Sommen, S. Zinger, S.L. Meijer, E.J. Schoon, J.J. Bergman, P.H.N. de With, W.L. Curvers,
    Presented at United European Gastroenterology Week, October 2016, Vienna, Austria,
    Published in United European Gastroenterology Journal vol. 4 (5S), 2016, pp. A89, ISSN: 2050-6406, IF 2.933 (2016).
    * awarded Oral Free Paper Prize* 

  • Automatic assessment of informative frames in endoscopic video.
    van Dongen, N. C., van der Sommen, F., Zinger, S., Schoon, E. J. & de With, P. H. N.,
    Presented at IEEE Int'l Symposium on Biomedical Imaging (ISBI), April 2016, Prague, Czech Republic,
    Published in proc. IEEE ISBI, pp. 119-122, IEEE 2016
    doi:10.1109/ISBI.2016.7493225

  • Sweet-spot training for early esophageal cancer detection.
    van der Sommen, F., Zinger, S., Schoon, E. J. & de With, P. H. N.,
    Presented at SPIE Medical Imaging, February 2016, San Diego, CA, USA,
    Published in proc. SPIE 9785, pp. 97851B-1 to 7, ISBN: -., SPIE 2016
    doi:10.1117/12.2208114 

  • Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry.
    van der Sommen, F., Zinger, S. & de With, P. H. N.,
    Presented at SPIE Medical Imaging, February 2016, San Diego, CA, USA,
    Published in proc. SPIE 9786, pp. 97860D-1 to 12, ISBN: -., SPIE 2016
    doi:10.1117/12.2214450

  • Early esophageal cancer detection using RF classifiers.
    Janse, M. H. A., van der Sommen, F., Zinger, S., Schoon, E. J. & de With, P. H. N,
    Presented at SPIE Medical Imaging, February 2016, San Diego, CA, USA,
    Published in proc. SPIE 9785, pp. 97851D-1 to 8, ISBN: -., SPIE 2016
    doi:10.1117/12.2208583

  • Feasibility of a computer algorithm for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy.
    Swager, A., van der Sommen, F., Zinger, S., Meijer, S. L., Schoon, E. J., Bergman, J. J., de With, P. H. N & Curvers, W. L.,
    Presented at the Digestive Disease Week, May 2016
    , San Diego, CA, USA,
    Published in Gastroenterology, 2016, vol. 150 (4), pp. S56, ISSN: 0016-5085.
    doi:10.1016/S0016-5085(16)30311-0

 2015

  • Real-time semantic context labeling for image understanding.
    Pieck, M.A.R., Sommen, F. van der, Zinger, S. & With, P.H.N. de,
    Presented at the IEEE Int'l Conference on Image Processing (ICIP), 27-30 September 2015, Quebec City, Canada,
    Published in proc. IEEE ICIP, pp. 3180-3184, IEEE 2015
    doi:10.1109/ICIP.2015.7351390

 2014

  • Computer-aided detection of early neoplastic lesions in Barrett’s esophagus: towards a supportive detection system in endoscopy.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at Digestive Disease Week, 2-6 May 2014, Chicago, Illinois, USA,
    Published in Gastroenterology, vol. 146 (5), supplement 1, pp. S-141 ISSN: 0016-5085.
    doi:10.1016/S0016-5085(14)60499-6

2013

  • Computer-Aided Delineation of Early Neoplasia in Barrett's Esophagus Using High Definition Endoscopic Images.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at the Digestive Disease Week, Orlando, FL, USA, May 2013,
    Published in Gastrointestinal Endoscopy, vol. 77 supplement, pp. AB471- AB471, ISSN: 0016-5107.
    doi:10.1016/j.gie.2013.03.431

  • Computer-Aided Detection of Early Cancer in the Esophagus using HD Endoscopy Images.
    F. van der Sommen, S. Zinger, E. J. Schoon, P. H. N. de With
    Presented at SPIE Medical Imaging, February 2013, Lake Buena Vista (Orlando Area), FL, USA, 
    Published in proc. SPIE 8670, pp. 86700V-1 to 12, ISBN: 9780819494443, SPIE 2013.
    doi:10.1117/12.2001068

  • Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy.
    A.A.A. Setio, F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at int. conf. Computer Vision Theory and Applications, February 2013, Barcelona, Spain,
    Published in proc. VISAPP, pp. 238-243, ISBN: 978-989-8565-47-1, SciTePress 2013.

    doi:10.5220/0004204502380243.

2012

  • Computer-Aided Detection of Early Neoplasia in the Esophagus using High Definition Endoscopic Images.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at the United European Gastroenterology Week, October 2012, Amsterdam, the Netherlands
    Published in Endoscopy, vol. 44 supplement 1, pp. A32-A33, ISSN: 0013-726X.

National conference contributions


 2016

  • Evaluation and comparison of computer vision methods for early Barrett's cancer detection using volumetric laser endomicroscopy.
    F. van der Sommen, S. Klomp, A. Swager, S. Zinger, E. J. Schoon, W. L. Curvers, J. J. Bergman, P. H. N. de With,
    To be presented at the Netherlands Conference on Computer Vision (NCCV16), December 12-13, 2015, Lunteren, The Netherlands,

 2015

  • A novel approach for Real-Time Semantic Context Labeling.
    Pieck, M.A.R., Sommen, F. van der, Zinger, S. & With, P.H.N. de,
    Presented at the Netherlands Conference on Computer Vision (NCCV15), September 14-15, 2015, Lunteren, The Netherlands,

  • Biopsy-needle depth estimation in limited-angle tomography using multiple view geometry.
    Sommen, F. van der, Zinger, S. & With, P.H.N. de,
    Presented at the IEEE Western European Student and Young Professional congress (WESYP), 20-24 May 2015, Eindhoven, The Netherlands.

2014

  • Computer-aided detection of early cancerous lesions in the esophagus using local Gabor and color features of HD endoscopic images.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at the Netherlands Conference on Computer Vision (NCCV), April 2014, Ermelo, the Netherlands.

  • Computer-aided detection of early esophageal cancer using local texture and color features of HD endoscopic images.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at 
    the IEEE SBE Symposium: Advancing Healthcare, February 2014, Eindhoven, the Netherlands.

2013

  • Computer-aided delineation of early neoplasia in Barrett's Esophagus using high definition endoscopic images.
    F. van der Sommen, S. Zinger, P.H.N. de With, E.J. Schoon,
    Presented at the 
    Voorjaarsvergadering Nederlandse Vereniging voor Gastroenterologie, Koningshof, March 2013, Veldhoven, the Netherlands.

Other contributions


 2013

  • Automatic annotation of early cancer in Barrett’s Esophagus: a Gabor-based approach.
    F. van der Sommen, S. Zinger, E.J. Schoon, P.H.N. de With,
    Presented at BIOMEDICA 2013: The European Life Sciences Summit, 18-19 June, Aachen, Germany.
    * awarded Best Poster Presentation* 

Welcome to my webpage! My name is Fons van der Sommen and I am an assistant professor at Eindhoven University of Technology. My main research interests are Medical Image Analaysis and Computer-Aided Diagnosis, where I aim to bring theory from Machine Learning and Computer Vision to the medical practice.


Contact:  
T:
+31 40 247 3708 

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FLUX 5.092, TUE Campus
Eindhoven, the Netherlands

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