• 9278 Citations
19952020

Research output per year

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Research Output

2020

4D semantic cardiac magnetic resonance image synthesis on XCAT anatomical model

Abbasi-Sureshjani, S., Amirrajab, S., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., 17 Feb 2020, In : arXiv.org, e-Print Archive, Physics. 13 p., 2002.07089.

Research output: Contribution to journalArticleAcademic

Open Access
File
2 Downloads (Pure)

Accelerating implant RF safety assessment using a low-rank inverse update method

Stijnman, P. R. S., Tokaya, J. P., van Gemert, J., Luijten, P. R., Pluim, J. P. W., Brink, W. M., Remis, R. F., van den Berg, C. A. T. & Raaijmakers, A. J. E., 1 May 2020, In : Magnetic Resonance in Medicine. 83, 5, p. 1796-1809 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
19 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
3 Downloads (Pure)

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 conferenceAbstract

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
2 Citations (Scopus)
20 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)
5 Downloads (Pure)

Ultrasound based wall stress analysis of abdominal aortic aneurysms using multiperspective imaging

van Disseldorp, E. M. J., van Dronkelaar, J. J., Pluim, J. P. W., van de Vosse, F. N., van Sambeek, M. R. H. M. & Lopata, R. G. P., 1 Jan 2020, In : European Journal of Vascular and Endovascular Surgery. 59, 1, p. 81-91 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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
1 Citation (Scopus)
37 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

Automatic classification of focal liver lesions based on MRI and risk factors

Jansen, M. J. A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., Viergever, M. A. & Pluim, J. P. W., May 2019, In : PLoS ONE. 14, 5, 13 p., e0217053.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
32 Downloads (Pure)

Benchmark on automatic 6-month-old infant brain segmentation algorithms: The iSeg-2017 Challenge

Wang, L., Nie, D., Li, G., Puybareau, E., Dolz, J., Zhang, Q., Wang, F., Xia, J., Wu, Z., Chen, J., Thung, K-H., Bui, T. D., Shin, J., Zeng, G., Zheng, G., Fonov, V. S., Doyle, A., Xu, Y., Moeskops, P., Pluim, J. P. W. & 9 others, Desrosiers, C., Ayed, I. B., Sanroma, G., Benkarim, O. M., Casamitjana, A., Vilaplana, V., Lin, W., Li, G. & Shen, D., 27 Feb 2019, In : IEEE Transactions on Medical Imaging. 38, 9, p. 2219-2230

Research output: Contribution to journalArticleAcademicpeer-review

Convolutional neural network-based regression for quantification of brain characteristics using MRI

Fernandes, J., Alves, V., Khalili, N., Benders, M. J. N. L., Išgum, I., Pluim, J. & Moeskops, P., 30 Mar 2019, New Knowledge in Information Systems and Technologies. Reis, L. P., Costanzo, S., Adeli, H. & Rocha, Á. (eds.). Berlin: Springer, Vol. 2. p. 577-586 10 p. (Advances in Intelligent Systems and Computing; vol. 931).

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)

Correcting time-intensity curves in dynamic contrast-enhanced breast MRI for inhomogeneous excitation fields at 7T

van Rijssel, M. J., Pluim, J. P. W., Chan, H-S. M., van den Wildenberg, L., Schmitz, A. M. T., Luijten, P. R., Gilhuijs, K. G. A. & Klomp, D. W. J., 27 Dec 2019, In : Magnetic Resonance in Medicine. 84, 2, p. 1000-1010 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
6 Downloads (Pure)

Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results

Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., Blumberg, S. B., Khoo, C. S., Palombo, M., Coll-Font, J., Scherrer, B., Warfield, S. K., Karayumak, S. C., Rathi, Y., Koppers, S., Weninger, L., Ebert, J., Merhof, D., Moyer, D., Pietsch, M. & 11 others, Christiaens, D., Teixeira, R., Tournier, J-D., Zhylka, A., Pluim, J., Parker, G., Rudrapatna, U., Evans, J., Charron, C., Jones, D. K. & Tax, C. W. M., 2019. 4 p.

Research output: Contribution to conferenceAbstract

Open Access

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)

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
20 Downloads (Pure)

Liver segmentation and metastases detection in MR images using convolutional neural networks

Jansen, M. J. A., Kuijf, H. J., Niekel, M., Veldhuis, W. B., Wessels, F. J., Viergever, M. A. & Pluim, J. P. W., 1 Oct 2019, In : Journal of Medical Imaging. 6, 4, 10 p., 044003.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
39 Downloads (Pure)

Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results

Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., Blumberg, S. B., Khoo, C. S., Palombo, M., Coll-Font, J., Scherrer, B., Warfield, S. K., Karayumak, S. C., Rathi, Y., Koppers, S., Weninger, L., Ebert, J., Merhof, D., Moyer, D., Pietsch, M. & 11 others, Christiaens, D., Teixeira, R., Tournier, J-D., Zhylka, A., Pluim, J., Parker, G., Rudrapatna, U., Evans, J., Charron, C., Jones, D. K. & Tax, C. W. M., 2019, Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018. Ning, L., Tax, C. M. W., Grussu, F., Bonet-Carne, E. & Sepehrband, F. (eds.). 226249 ed. Cham: Springer, p. 217-224 8 p. (Mathematics and Visualization).

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

Open Access
File
2 Citations (Scopus)
59 Downloads (Pure)

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Cheplygina, V., de Bruijne, M. & Pluim, J. P. W., May 2019, In : Medical Image Analysis. 54, p. 280-296 17 p.

Research output: Contribution to journalArticleAcademicpeer-review

26 Citations (Scopus)
2 Downloads (Pure)

On fiber orientation distribution peak selection for diffusion MRI fiber tractography

Zhylka, A., Leemans, A., Pluim, J. & De Luca, A., 1 Sep 2019, p. 14. 1 p.

Research output: Contribution to conferenceAbstract

Open Access
File
24 Downloads (Pure)

Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation

Jansen, M. J. A., Kuijf, H. J. & Pluim, J. P. W., 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 8 p. 109491V. (Proceedings of SPIE; vol. 10949).

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

Open Access
File
1 Citation (Scopus)
1 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
16 Citations (Scopus)
45 Downloads (Pure)

Progressively growing convolutional networks for end-to-end deformable image registration

Eppenhof, K., Lafarge, M. & Pluim, J., 15 Mar 2019, Medical Imaging 2019 Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 7 p. 109491C. (Proceedings of SPIE; vol. 10949).

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

Open Access
File
3 Citations (Scopus)
92 Downloads (Pure)

Pulmonary CT registration through supervised learning with convolutional neural networks

Eppenhof, K. A. J. & Pluim, J. P. W., 2 May 2019, In : IEEE Transactions on Medical Imaging. 38, 5, p. 1097-1105 9 p., 8510836.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
11 Citations (Scopus)
87 Downloads (Pure)

Reducing distortions in echo-planar breast imaging at ultrahigh field with high-resolution off-resonance maps

van Rijssel, M. J., Zijlstra, F., Seevinck, P. R., Luijten, P. R., Gilhuijs, K. G. A., Klomp, D. W. J. & Pluim, J. P. W., Jul 2019, In : Magnetic Resonance in Medicine. 82, 1, p. 425-435 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
2 Citations (Scopus)
34 Downloads (Pure)

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

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: a feasibility study

Jansen, M. J. A., Kuijf, H. J. & Pluim, J. P. W., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 245-248 4 p.

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

1 Citation (Scopus)

Crowd disagreement of medical images is informative

Cheplygina, V. & Pluim, J. P. W., 21 Jun 2018, In : arXiv. 2018, 8 p., 1806.08174.

Research output: Contribution to journalArticleAcademic

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

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
19 Citations (Scopus)
859 Downloads (Pure)

Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks

Eppenhof, K. A. J. & Pluim, J. P. W., 1 Apr 2018, In : Journal of Medical Imaging. 5, 2, 12 p., 024003.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
7 Citations (Scopus)
138 Downloads (Pure)

Estimating B1+ in the breast at 7 T using a generic template

van Rijssel, M. J., Pluim, J. P. W., Luijten, P. R., Gilhuijs, K. G. A., Raaijmakers, A. W. J. & Klomp, D. W. J., 1 May 2018, In : NMR in Biomedicine. 31, 5, 12 p., e3911.

Research output: Contribution to journalArticleAcademicpeer-review

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

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI

Moeskops, P., de Bresser, J., Kuijf, H. J., Mendrik, A. M., Biessels, G. J., Pluim, J. P. W. & Išgum, I., 2018, In : NeuroImage: Clinical. 17, p. 251-262 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
25 Citations (Scopus)
123 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

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Cheplygina, V., de Bruijne, M. & Pluim, J. P. W., 17 Apr 2018, In : arXiv. 1804.06353

Research output: Contribution to journalArticleAcademic

Open Access
File
317 Downloads (Pure)

Reconnection of interrupted curvilinear structures via cortically inspired completion for ophthalmologic images

Zhang, J., Bekkers, E., Chen, D., Berendschot, T. T. J. M., Schouten, J., Pluim, J. P. W., Shi, Y., Dashtbozorg, B. & Romeny, B. M. T. H., 1 May 2018, In : IEEE Transactions on Biomedical Engineering. 65, 5, p. 1151-1165 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
File
98 Downloads (Pure)

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

10 Citations (Scopus)

Selection strategies for atlas-based mosaicing of left atrial 3-D transesophageal echocardiography data

Mulder, H. W., van Stralen, M., Ren, B., Haak, A., van Burken, G., Viergever, M. A., Bosch, J. G. & Pluim, J. P. W., Jul 2018, In : Ultrasound in Medicine and Biology. 44, 7, p. 1533–1543 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

2 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

33 Citations (Scopus)
2 Downloads (Pure)

Atlas-based mosaicing of left atrial 3-D transesophageal echocardiography images

Mulder, H. W., van Stralen, M., Ren, B., Haak, A., Viergever, M. A., Bosch, J. G. & Pluim, J. P. W., 1 Apr 2017, In : Ultrasound in Medicine and Biology. 43, 4, p. 765-774 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Automatic segmentation of the intracranial volume in fetal MR images

Khalili, N., Moeskops, P., Claessens, N. H. P., Scherpenzeel, S., Turk, E., de Heus, R., Benders, M. J. N. L., Viergever, M. A., Pluim, J. P. W. & Išgum, I., 2017, Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017 and 4th International Workshop, OMIA 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer, p. 42-51 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10554 LNCS).

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

4 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

25 Citations (Scopus)
2 Downloads (Pure)

Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver

Jansen, M. J. A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., van Leeuwen, M. S. & Pluim, J. P. W., 7 Oct 2017, In : Physics in Medicine and Biology. 62, 19, p. 7556-7568 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
10 Citations (Scopus)
139 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)

Isointense infant brain MRI segmentation with a dilated convolutional neural network

Moeskops, P. & Pluim, J. P. W., 9 Aug 2017.

Research output: Contribution to conferencePaper

File
82 Downloads (Pure)

Motion correction of dynamic contrast enhanced MRI of the liver

Jansen, M. J. A., Veldhuis, W. B., van Leeuwen, M. S. & Pluim, J. P. W., 2017, Medical Imaging 2017: Image Processing. Angelini, E. D., Styner, M. A. & Angelini, E. D. (eds.). SPIE, 101331T. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10133).

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