• 1393 Citations
20112020

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2020

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. (eds.). SPIE, 113141N. (Proceedings of SPIE; vol. 11314).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 Mar 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 7 p. 109491N. (Proceedings of SPIE; vol. 10949).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
2 Citations (Scopus)
44 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. (eds.). Bellingham: SPIE, 13 p. 1094916. (Proceedings of SPIE; vol. 10949).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 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. (eds.). Cham: Springer, p. 348-356 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (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).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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 Mar 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). Bellingham, 7 p. 109560Q. (Proceedings of SPIE; vol. 10956).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
6 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 Mar 2018, Medical Imaging 2018 Image Processing. Bellingham: SPIE, 6 p. 105740S. (Proceedings of SPIE; vol. 10574).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
21 Citations (Scopus)
869 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 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: IEEE Computer Society, Vol. 2018-April. p. 586-589 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (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. (eds.). Cham: Springer, p. 440-448 9 p. (Lecture Notes in Computer Science; vol. 11070).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (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, p. 56-64 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

35 Citations (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, p. 83-91 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

26 Citations (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. (eds.). Cham: Springer, p. 59-66 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10552 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (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, p. 632-639 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (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. (eds.). Washington: SPIE, p. 867607-1/7 (Proceedings of SPIE; vol. 8676).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

27 Citations (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, p. 618-621

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

48 Citations (Scopus)
12 Downloads (Pure)