• 6266
    Citaties
20112024

Onderzoeksresultaten per jaar

Filter
Conferentiebijdrage

Zoekresultaten

  • 2021

    Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

    Scannell, C. M., Chiribiri, A. & Veta, M., 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (uitgave). Springer, blz. 228-237 10 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12592 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    22 Citaten (Scopus)
  • Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans

    van der Velden, B. M., Veta, M., Pluim, J. P. W., Alberti, M. & Heslinga, F. G., sep. 2021, Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France. blz. 72–81 10 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
    42 Downloads (Pure)
  • 2020

    Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels

    Bertram, C. A., Veta, M., Marzahl, C., Stathonikos, N., Maier, A., Klopfleisch, R. & Aubreville, M., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (uitgave). Springer, blz. 204-213 10 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    17 Citaten (Scopus)
  • Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study

    Heslinga, F. G., Pluim, J. P. W., Houben, A. J. H. M., Schram, M. T., Henry, R. M. A., Stehouwer, C. D. A., Van Greevenbroek, M. J., Berendschot, T. T. J. M. & Veta, M., 1 jan. 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (uitgave). SPIE, 113141N. (Proceedings of SPIE; vol. 11314).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
    1 Citaat (Scopus)
    121 Downloads (Pure)
  • Segmentation and Classification of Melanoma and Nevus in Whole Slide Images

    Van Zon, M., Stathonikos, N., Blokx, W. A. M., Komina, S., Maas, S. L. N., Pluim, J. P. W., Van Diest, P. J. & Veta, M., apr. 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, blz. 263-266 4 blz. 9098487

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    17 Citaten (Scopus)
  • 2019

    Approximation of a pipeline of unsupervised retina image analysis methods with a CNN

    Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M., Henry, R. M. A. & Veta, M., 1 mrt. 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (uitgave). Bellingham: SPIE, 7 blz. 109491N. (Proceedings of SPIE; vol. 10949).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
    6 Citaten (Scopus)
    334 Downloads (Pure)
  • Automatic cardiac landmark localization by a recurrent neural network

    van Zon, M., Veta, M. & Li, S., 1 jan. 2019, Medical Imaging 2019: Image Processing. Landman, B. A. & Angelini, E. D. (uitgave). Bellingham: SPIE, 13 blz. 1094916. (Proceedings of SPIE; vol. 10949).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    5 Citaten (Scopus)
    2 Downloads (Pure)
  • Convolutional neural networks for segmentation of the left atrium from gadolinium-enhancement MRI images

    de Vente, C., Veta, M., Razeghi, O., Niederer, S., Pluim, J., Rhode, K. & Karim, R., 14 feb. 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. McLeod, K., Mansi, T., Young, A., Rhode, K., Zhao, J., Li, S., Pop, M. & Sermesant, M. (uitgave). Cham: Springer, blz. 348-356 9 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    7 Citaten (Scopus)
    4 Downloads (Pure)
  • Deep learning networks to segment and detect breast terminal duct lobular units, acini, and adipose tissue: a step toward the automated analysis of lobular involution as a marker for breast cancer risk

    Onken, A., Wetstein, S., Pyle, M., Pluim, J., Schnitt, S., Baker, G., Collins, L., Tamimi, R., Veta, M. & Heng, Y., 2019, United States and Canadian Academy of Pathology (USCAP).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

  • Detection of acini in histopathology slides: towards automated prediction of breast cancer risk

    Wetstein, S., Onken, A., Baker, G., Pyle, M., Pluim, J., Tamimi, R., Heng, Y. & Veta, M., 18 mrt. 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (uitgave). Bellingham, 7 blz. 109560Q. (Proceedings of SPIE; vol. 10956).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    3 Citaten (Scopus)
    8 Downloads (Pure)
  • 2018

    Deformable image registration using convolutional neural networks

    Eppenhof, K. A. J., Lafarge, M. W., Moeskops, P., Veta, M. & Pluim, J. P. W., 15 mrt. 2018, Medical Imaging 2018 Image Processing. Bellingham: SPIE, 6 blz. 105740S. (Proceedings of SPIE; vol. 10574).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
    77 Citaten (Scopus)
    1775 Downloads (Pure)
  • Inferring a third spatial dimension from 2D histological images

    Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J., Moeskops, P. & Veta, M., 23 mei 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: IEEE Computer Society, Vol. 2018-April. blz. 586-589 4 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    2 Citaten (Scopus)
  • Roto-translation covariant convolutional networks for medical image analysis

    Bekkers, E. J., Lafarge, M. W., Veta, M., Eppenhof, K. A. J., Pluim, J. P. W. & Duits, R., 1 jan. 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (uitgave). Cham: Springer, blz. 440-448 9 blz. (Lecture Notes in Computer Science; vol. 11070).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    98 Citaten (Scopus)
  • 2017

    Adversarial training and dilated convolutions for brain MRI segmentation

    Moeskops, P., Veta, M., Lafarge, M. W., Eppenhof, K. A. J. & Pluim, J. P. W., 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer, blz. 56-64 9 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    92 Citaten (Scopus)
    2 Downloads (Pure)
  • Domain-adversarial neural networks to address the appearance variability of histopathology images

    Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J., Moeskops, P. & Veta, M., 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer, blz. 83-91 9 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    91 Citaten (Scopus)
    2 Downloads (Pure)
  • Exploring the similarity of medical imaging classification problems

    Cheplygina, V., Moeskops, P., Veta, M., Dashtbozorg, B. & Pluim, J. P. W., 2017, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 6th Joint International Workshops, CVII-STENT 2017 and 2nd International Workshop, LABELS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Cardoso, M. J., Arbel, T. & et. al. (uitgave). Cham: Springer, blz. 59-66 8 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10552 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    8 Citaten (Scopus)
    2 Downloads (Pure)
  • 2016

    Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation

    Veta, M., van Diest, P. J. & Pluim, J. P. W., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer, blz. 632-639 8 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    23 Citaten (Scopus)
    5 Downloads (Pure)
  • 2013

    Detecting mitotic figures in breast cancer histopathology images

    Veta, M., Diest, van, P. J. & Pluim, J. P. W., 2013, SPIE Medical Imaging Symposium 2013: Digital Pathology, 10 - 11 February 2013, Lake Buena Vista, Florida, USA. Gurcan, M. N. & Madabhushi, X. (uitgave). Washington: SPIE, blz. 867607-1/7 (Proceedings of SPIE; vol. 8676).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    51 Citaten (Scopus)
    3 Downloads (Pure)
  • 2011

    Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images

    Veta, M., Huisman, A., Viergever, M. A., Diest, van, P. J. & Pluim, J. P. W., 2011, Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro ( ISBI'11), 30 March 2011 through 2 April 2011, Chicago, IL. Piscataway: Institute of Electrical and Electronics Engineers, blz. 618-621

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    84 Citaten (Scopus)
    12 Downloads (Pure)