• 1414 Citations
20112020

Research output per year

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Research Output

2020

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Wetstein, S. C., González-Gonzalo, C., Bortsova, G., Liefers, B., Dubost, F., Katramados, I., Hogeweg, L., Ginneken, B. V., Pluim, J. P. W., Bruijne, M. D., Sánchez, C. I. & Veta, M., 11 Jun 2020, In : arXiv.

Research output: Contribution to journalArticleAcademic

File
12 Downloads (Pure)

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk

Wetstein, S. C., Onken, A. M., Luffman, C., Baker, G. M., Pyle, M. E., Kensler, K. H., Liu, Y., Bakker, B., Vlutters, R., van Leeuwen, M. B., Collins, L. C., Schnitt, S. J., Pluim, J. P. W., Tamimi, R. M., Heng, Y. J. & Veta, M., 15 Apr 2020, In : PLoS ONE. 15, 4, 16 p., e0231653.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
8 Downloads (Pure)

Deep-learning-based preprocessing for quantitative myocardial perfusion MRI

Scannell, C. M., Veta, M., Villa, A. D. M., Sammut, E. C., Lee, J., Breeuwer, M. & Chiribiri, A., Jun 2020, In : Journal of Magnetic Resonance Imaging. 51, 6, p. 1689-1696 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
2 Citations (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. (eds.). SPIE, 113141N. (Proceedings of SPIE; vol. 11314).

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

Fast contour propagation for MR-guided prostate radiotherapy using CNNs

Eppenhof, K. A. J., Maspero, M., Savenije, M. H. F., de Boer, J. C. J., van der Voort van Zyp, J. R. N., Raaymakers, B. W., Raaijmakers, A., Veta, M., Pluim, J. P. W. & van den Berg, C. A. T., 15 Jan 2020, (Accepted/In press).

Research output: Contribution to conferenceAbstractAcademic

Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks

Eppenhof, K. A. J., Maspero, M., Savenije, M. H. F., de Boer, J. C. J., van der Voort van Zyp, J. R. N., Raaymakers, B. W., Raaijmakers, A., Veta, M., van den Berg, C. A. T. & Pluim, J. P. W., 1 Mar 2020, In : Medical Physics. 47, 3, p. 1238-1248 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
4 Citations (Scopus)
33 Downloads (Pure)

Progressively trained convolutional neural networks for deformable image registration

Eppenhof, K., Lafarge, M., Veta, M. & Pluim, J., 7 May 2020, In : IEEE Transactions on Medical Imaging. 39, 5, p. 1594-1604 11 p., 8902170.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
1 Citation (Scopus)
15 Downloads (Pure)
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)

Assessing breast terminal duct lobular unit involution: a computational pathology approach: Poster No. 103

Luffman, C., Wetstein, S., Onken, A., Pyle, M. E., Kensler, K. H., Liu, Y., Pluim, J. P. W., Veta, M., Schnitt, S., Tamimi, R., Baker, G., Collins, L. & Heng, Y. J., 1 Sep 2019, In : Archives of Pathology and Laboratory Medicine. 143, 9, p. e149

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
1 Downloads (Pure)

Automated clear cell renal carcinoma grade classification with prognostic significance

Tian, K., Rubadue, C. A., Lin, D. I., Veta, M., Pyle, M. E., Irshad, H. & Heng, Y. J., 3 Oct 2019, In : PLoS ONE. 14, 10, 16 p., e0222641.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
1 Citation (Scopus)
22 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-based prediction of kinetic parameters from myocardial perfusion MRI

Scannell, C. M., Bosch, P. V. D., Chiribiri, A., Lee, J., Breeuwer, M. & Veta, M., 27 Jul 2019, In : arXiv. 4 p., 1907.11899v1.

Research output: Contribution to journalArticleAcademic

Open Access
File
10 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

Deep learning with convolutional neural networks for histopathology image analysis

Bosnacki, D., van Riel, N. A. W. & Veta, M., 2019, Automated reasoning for systems biology and medicine. Lio, P. & Zuliani, P. (eds.). Springer, p. 453-469 (Computational Biology Series; vol. 30).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Downloads (Pure)

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)

Learning domain-invariant representations of histological images

Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J. & Veta, M., 16 Jul 2019, In : Frontiers in Medicine. 6, 11 p., 162.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
28 Downloads (Pure)

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Veta, M., Heng, Y. J., Stathonikos, N., Bejnordi, B. E., Beca, F., Wollmann, T., Rohr, K., Shah, M. A., Wang, D., Rousson, M., Hedlund, M., Tellez, D., Ciompi, F., Zerhouni, E., Lanyi, D., Viana, M., Kovalev, V., Liauchuk, V., Phoulady, H. A., Qaiser, T. & 13 others, Graham, S., Rajpoot, N., Sjöblom, E., Molin, J., Paeng, K., Hwang, S., Park, S., Jia, Z., Chang, E. I-C., Xu, Y., Beck, A. H., van Diest, P. J. & Pluim, J. P. W., May 2019, In : Medical Image Analysis. 54, p. 111-121 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
21 Citations (Scopus)
49 Downloads (Pure)

Preface

Bankhead, P., Janowczyk, A., Reyes-Aldasoro, C. C., Sirinukunwattana, K. & Veta, M., 1 Jan 2019, Digital Pathology. Reyes-Aldasoro, C. C., Veta, M., Janowczyk, A., Bankhead, P. & Sirinukunwattana, K. (eds.). Cham: Springer, p. v-vi 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11435).

Research output: Chapter in Book/Report/Conference proceedingForeword/postscriptAcademic

Open Access

Retinal microvascular biomarker extraction on fundus images from the Maastricht study using supervised deep learning

Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M. & Veta, M., Apr 2019, In : Journal of Vascular Research. 56, suppl. 1, p. 120-120 1 p., 261.

Research output: Contribution to journalMeeting AbstractAcademic

Open Access
1 Downloads (Pure)
2018

COMPAY 2018 preface

Ciompi, F., van der Laak, J., Rajpoot, N., McKenna, S., Veta, M. & Snead, D., 1 Jan 2018, Computational Pathology and Ophthalmic Medical Image Analysis First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings. Springer, p. VII (Lecture Notes in Computer Science; vol. 11039)(Image processing, computer vision, patters recognition and graphs book sub series; vol. 11039).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access

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
22 Citations (Scopus)
870 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

13 Citations (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., 10 Apr 2018, In : arXiv.

Research output: Contribution to journalArticleAcademic

File
102 Downloads (Pure)
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)

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Bejnordi, B. E., Veta, M., van Diest, P. J., Van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., Hermsen, M., Manson, Q. F., Balkenhol, M., Geessink, O., Stathonikos, N., Van Dijk, M. C. R. F., Bult, P., Beca, F., Beck, A. H., Wang, D., Khosla, A., Gargeya, R., Irshad, H. & 31 others, Zhong, A., Dou, Q., Li, Q., Chen, H., Lin, H. J., Heng, P. A., Haß, C., Bruni, E., Wong, Q., Halici, U., Öner, M. Ü., Cetin-Atalay, R., Berseth, M., Khvatkov, V., Vylegzhanin, A., Kraus, O., Shaban, M., Rajpoot, N., Awan, R., Sirinukunwattana, K., Qaiser, T., Tsang, Y. W., Tellez, D., Annuscheit, J., Hufnagl, P., Valkonen, M., Kartasalo, K., Latonen, L., Ruusuvuori, P., Liimatainen, K. & CAMELYON16 Consortium, 12 Dec 2017, In : JAMA Neurology. 318, 22, p. 2199-2210 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

485 Citations (Scopus)

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)

Long-term prognosis of young breast cancer patients (≤40 years) who did not receive adjuvant systemic treatment: protocol for the PARADIGM initiative cohort study

Dackus, G. M., Ter Hoeve, N. D., Opdam, M., Vreuls, W., Varga, Z., Koop, E., Willems, S. M., Van Deurzen, C. H., Groen, E. J., Cordoba, A., Bart, J., Mooyaart, A. L., van den Tweel, J. G., Zolota, V., Wesseling, J., Sapino, A., Chmielik, E., Ryska, A., Amant, F., Broeks, A. & 13 others, Kerkhoven, R., Stathonikos, N., Veta, M., Voogd, A., Jozwiak, K., Hauptmann, M., Hoogstraat, M., Schmidt, M. K., Sonke, G., van der Wall, E., Siesling, S., van Diest, P. J. & Linn, S. C., 14 Nov 2017, In : BMJ open. 7, 11, p. e017842 7 p., e017842.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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3 Citations (Scopus)
53 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

13 Citations (Scopus)
5 Downloads (Pure)

Mitosis counting in breast cancer: object-level interobserver agreement and comparison to an automatic method

Veta, M., van Diest, P. J., Jiwa, M., Al-Janabi, S. & Pluim, J. P. W., 16 Aug 2016, In : PLoS ONE. 11, 8, p. 1-13 e0161286.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
36 Citations (Scopus)
214 Downloads (Pure)
2015

Assessment of algorithms for mitosis detection in breast cancer histopathology images

Veta, M., Diest, van, P. J., Willems, S. M., Wang, H., Madabhushi, A. A., Cruz-Roa, A. A., González, F., Larsen, A. B. L. A., Vestergaard, J. S. J., Dahl, A. B. A., Ciresan, D. C. D., Schmidhuber, J., Giusti, A. A., Gambardella, L. M. L., Tek, F. B., Walter, T. T., Wang, C-W., Kondo, S., Matuszewski, B. J. B., Precioso, F. F. & 9 others, Snell, V. V., Kittler, J., de Campos, T. E., Khan, A. M., Rajpoot, N. M., Arkoumani, E., Lacle, M. M., Viergever, M. A. & Pluim, J. P. W., 20 Mar 2015, In : Medical Image Analysis. 20, 1, p. 237-248 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

181 Citations (Scopus)
9 Downloads (Pure)
2014

Breast cancer histopathology image analysis

Veta, M., 2014, Utrecht: Utrecht University. 131 p.

Research output: ThesisPhd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

23 Downloads (Pure)

Breast cancer histopathology image analysis : a review

Veta, M., Pluim, J. P. W., Diest, van, P. J. & Viergever, M. A., 2014, In : IEEE Transactions on Biomedical Engineering. 61, 5, p. 1400-1411 1400.

Research output: Contribution to journalArticleAcademicpeer-review

275 Citations (Scopus)
8 Downloads (Pure)

Corrections to "Breast cancer histopathology image analysis": a review [May 14 1400-1411]

Veta, M., Pluim, J. P. W., Diest, van, P. J. & Viergever, M. A., Nov 2014, In : IEEE Transactions on Biomedical Engineering. 61, 11, p. 2819-2819 1 p.

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
2 Downloads (Pure)
2013

Automatic nuclei segmentation in H&E stained breast cancer histopathology images

Veta, M., Diest, van, P. J., Kornegoor, R., Huisman, A., Viergever, M. A. & Pluim, J. P. W., 2013, In : PLoS ONE. 8, 7, 12 p., 70221.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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171 Citations (Scopus)
378 Downloads (Pure)

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

28 Citations (Scopus)
3 Downloads (Pure)
2012

Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer

Veta, M., Kornegoor, R., Huisman, A., Verschuur-Maes, A. H. J., Viergever, M. A., Pluim, J. P. W. & Diest, van, P. J., 2012, In : Modern Pathology. 25, 12, p. 1559-1565

Research output: Contribution to journalArticleAcademicpeer-review

39 Citations (Scopus)
1 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)