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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

Gradient boosting on decision trees for mortality prediction in transcatheter aortic valve implantation

Mamprin, M., Zelis, J. M., Tonino, P. A. L., Zinger, S. & With, P. H. N. D., 1 Sep 2020, ICBET 2020: Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology. Association for Computing Machinery, Inc, p. 325-329 5 p. (ACM International Conference Proceeding Series).

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

Open Access
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33 Downloads (Pure)

Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning

van Sonsbeek, T. & Cheplygina, V., 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. (eds.). Springer, p. 242-253 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

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

Risk of Training Diagnostic Algorithms on Data with Demographic Bias

Abbasi-Sureshjani, S., Raumanns, R., Michels, B. E. J., Schouten, G. & Cheplygina, V., 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. (eds.). Springer, p. 183-192 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

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

Towards Multi-perspective Conformance Checking with Aggregation Operations

Zhang, S., Genga, L., Dekker, L., Nie, H., Lu, X., Duan, H. & Kaymak, U., 1 Jan 2020, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings. Lesot, M-J., Vieira, S., Reformat, M. Z., Carvalho, J. P., Wilbik, A., Bouchon-Meunier, B. & Yager, R. R. (eds.). Springer, p. 215-229 15 p. (Communications in Computer and Information Science; vol. 1237 CCIS).

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

2019

A computational approach on sensitivity of left ventricular wall strains to geometry

Barbarotta, L. & Bovendeerd, P., 2019, Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Coudière, Y., Ozenne, V., Vigmond, E. & Zemzemi, N. (eds.). Cham: Springer Nature, p. 240-248 9 p. (Lecture Notes in Computer Science ; vol. 11504).

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

1 Citation (Scopus)
1 Downloads (Pure)

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
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2 Citations (Scopus)
59 Downloads (Pure)

A simple multi-scale model to evaluate left ventricular growth laws

Rondanina, E. & Bovendeerd, P., 2019, Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Zemzemi, N., Coudière, Y., Ozenne, V. & Vigmond, E. (eds.). Cham: Springer Nature, p. 249-257 9 p. (Lecture Notes in Computer Science; vol. 11504).

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

Atherosclerotic carotid bifurcation phantoms with a stenotic soft inclusion for flow-structure ultrasound imaging analysis

Chayer, B., van den Hoven, M., Roy Cardinal, M. H., Li, H., Madiena, C., Swillens, A., Lopata, R. & Cloutier, G., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. Piscataway: IEEE Computer Society, p. 1216-1218 3 p. 8925928

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

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 Citation (Scopus)
1 Downloads (Pure)

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)

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)

HIFUpm: A visual environment to plan and monitor high intensity focused ultrasound treatments

Modena, D., Bassano, D., Elevelt, A., Baragona, M., Hilbers, P. A. J. & Westenberg, M. A., 2019, Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2019. Kozlikova, B. & Raidou, R. G. (eds.). Eurographics Association, p. 207-211 5 p. (Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2019).

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

How accurately can we detect atrial fibrillation using Photoplethysmography data measured in daily life?

Eerikäinen, L. M., Bonomi, A. G., Schipper, F., Dekker, L. R. C., Vullings, R., de Morree, H. M. & Aarts, R. M., 11 Sep 2019, Computing in Cardiology 2019. p. 1-4 4 p.

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

Open Access

Intraplaque haemorrhage detection using single-wavelength PAI and singular value decomposition in the carotid artery

van Hees, R. P. M., Wu, M., van de Vosse, F. N., Lopata, R. G. P. & Rutten, M. C. M., 19 Jul 2019, Opto-Acoustic Methods and Applications in Biophotonics IV. Ntziachristos, V. & Zemp, R. (eds.). SPIE, 3 p. 110771M. (Proceedings of SPIE; vol. 11077).

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

3 Downloads (Pure)

Intraplaque haemorrhage detection using single-wavelength PAI and singular value decomposition in the carotid artery

van Hees, R. P. M., Wu, M., van de Vosse, F. N., Lopata, R. G. P. & Rutten, M. C. M., 1 Jan 2019, European Conference on Biomedical Optics, ECBO_2019. SPIE, 11077_58. (Proceedings of SPIE; vol. 11077).

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

Modeling cardiac growth: an alternative approach

van Osta, N. C. J., van der Donk, L., Rondanina, E. & Bovendeerd, P., 2019, Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Coudière, Y., Zemzemi, N., Ozenne, V. & Vigmond, E. (eds.). Cham: Springer Nature, p. 258-265 8 p. (Lecture Notes in Computer Science; vol. 11504).

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

3 Citations (Scopus)
1 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
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6 Citations (Scopus)
85 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)
8 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
4 Citations (Scopus)
135 Downloads (Pure)
2018

Analysis of retinal vascular biomarkers for early detection of diabetes

Zhang, J., Dashtbozorg, B., Huang, F., Berendschot, T. T. J. M. & ter Haar Romeny, B. M., 1 Jan 2018, ViPIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Tavares, J. M. R. S. & Natal Jorge, R. M. (eds.). Cham: Springer, p. 811-817 7 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 27).

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

2 Citations (Scopus)
1 Downloads (Pure)

An improved U-net architecture for simultaneous arteriole and venule segmentation in fundus image

Xu, X., Tan, T. & Xu, F., 21 Aug 2018, Medical Image Understanding and Analysis - 22nd Conference, Proceedings. Nixon, M., Mahmoodi, S. & Zwiggelaar, R. (eds.). Cham: Springer, p. 333-340 8 p. (Communications in Computer and Information Science; vol. 894).

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

3 Citations (Scopus)

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)

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
25 Citations (Scopus)
889 Downloads (Pure)

Exploratory study on direct prediction of diabetes using deep residual networks

Abbasi-Sureshjani, S., Dashtbozorg, B., ter Haar Romeny, B. M. & Fleuret, F., 2018, VipIMAGE2017. Tavares, J. M. R. S. & Jorge, R. M. N. (eds.). Springer, Vol. 27. p. 797-802 6 p. (Lecture notes in computational vision and biomechanics; vol. 27).

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

7 Citations (Scopus)

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)

LABELS 2018 Preface

Sznitman, R., Cheplygina, V., Mateus, D., Maier-Hein, L., Granger, E., Jannin, P. & Trucco, E., 1 Jan 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Stoyanov, D., Taylor, Z., Balocco, S., Sznitman, R., Martel, A., Maier-Hein, L., Dong, L., Zahnd, G., Demerci, S., Albarqouni, S., Lee, S-L., Moriconi, S., Cheplygina, V., Mateus, D., Trucco, E., Granger, E. & Jannin, E. (eds.). Springer, p. IX (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11043).

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

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

14 Citations (Scopus)

Validation study on retinal vessel caliber measurement technique

Huang, F., Dashtbozorg, B., Zhang, J., Yeung, A., Berendschot, T. T. J. M. & ter Haar Romeny, B. M., 1 Jan 2018, VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Tavares, J. M. R. S. & Natal Jorge, R. M. (eds.). Cham: Springer, p. 818-826 9 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 27).

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

2 Citations (Scopus)
2017

3D geometry assessment and wall stress analysis of carotid arteries using 2D US segmentation during a controlled sweep

De Ruijter, J., Hobelman, KH., Van De Vosse, F., Van Sambeek, M. R. H. M. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 1 p. 8092545

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

20 Downloads (Pure)

A comparative study towards the establishment of an automatic retinal vessel width measurement technique

Huang, F., Dasht Bozorg, B., Yeung, A. K. S., Zhang, J., Berendschot, T. J. M. & ter Haar Romeny, B. M., 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. 227-234 8 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

1 Citation (Scopus)

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

42 Citations (Scopus)
2 Downloads (Pure)

Assessment of left bundle branch related strain dyssynchrony: a comparison with tagged MRI

Fixsen, L. S., de Lepper, A., van 't Veer, M., Strik, M., van Middendorp, L., van de Vosse, F. N., Prinzen, F., Houthuizen, P. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 8092422

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

2 Downloads (Pure)

Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs

Mendonça, A. M., Remeseiro, B., Dashtbozorg, B. & Campilho, A., 1 Mar 2017, Medical Imaging 2017 Computer-Aided Diagnosis, 13-16 February 2017, Orlando, Florida. Petrick, N. A. & Armato, S. G. (eds.). SPIE, Vol. 1. 7 p. 101341L. (Proceedings of SPIE; vol. 10134)(Progress in Biomedical optics and Imaging; vol. 18, no. 48).

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

2 Citations (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)

Boosted exudate segmentation in retinal images using residual nets

Abbasi-Sureshjani, S., Dashtbozorg, B., ter Haar Romeny, B. M. & Fleuret, F., 1 Jan 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. Cardoso, M. J. (ed.). Berlin: Springer, p. 210-218 9 p. (Lecture Notes in Computer Science; vol. 10554)(Image processing, computer vision, pattern recognition, and graphics; vol. 10554).

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

7 Citations (Scopus)

Characterization of human carotid plaques using multi-wavelength photoacoustic imaging

Arabul, M. U., Heres, H. M., Rutten, M. C. M., Van Sambeek, M. R. H. M., Van De Vosse, F. N. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 1 p. 8092077

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

2 Citations (Scopus)
1 Downloads (Pure)

Comparative visualization for diffusion tensor imaging group study at multiple levels of detail

Zhang, C., Höllt, T., Caan, M., Eisemann, E. & Vilanova, A., 2017, Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM). New York: Association for Computing Machinery, Inc, p. 53-62

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

Crowdsourced emphysema assessment

Ørting, S. N., Cheplygina, V., Petersen, J., Thomsen, L. H., Wille, M. M. W. & de Bruijne, M., 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: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Arbel, T. & Cardoso, M. J. (eds.). Cham: Sprnger Verlag, p. 126-135 10 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

Open Access
File
2 Citations (Scopus)
135 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

30 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)

From a user study to a valid claim: how to test your hypothesis and avoid common pitfalls

de Hoon, N., Eisemann, E. & Vilanova, A., 1 Jun 2017, EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3). Lawonn, K., Smit, N. & Cunningham, D. (eds.). New York: Association for Computing Machinery, Inc, p. 25-28 4 p.

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

Hemorrhages detection in atherosclerotic plaques using ultrasound and photoacoustic, phantom study

Gouteux, L. K. L., Arabul, M. Ü., Rutten, M. C. M., Van De Vosse, F. N. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 1 p. 8091816

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

HIFUtk: visual analytics for high intensity focused ultrasound simulation

Modena, D., van Dijk, E. V. M., Bosnacki, D., ten Eikelder, H. M. M. & Westenberg, M. A., 2017, Eurographics Workshop on Visual Computing for Biology and Medicine. Bruckner, S., Hennemuth, A., Kainz, B., Hotz, I., Merhof, D. & Rieder, C. (eds.). Geneve: The Eurographics Association, p. 73-82 10 p.

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

Improved ultrasound-based mechanical characterization of abdominal aortic aneurysms

Petterson, N. J., Van Disseldorp, E. M. J., Van De Vosse, F. N., Van Sambeek, M. R. H. M. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 1 p. 8091744

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

2 Citations (Scopus)
2 Downloads (Pure)

In-vivo mechanical characterization of abdominal aortic aneurysms and healthy aortas using 4D ultrasound: a comparison study

Van Disseldorp, E. M. J., Petterson, N. J., Van De Vosse, F. N., Van Sambeek, M. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 1 p. 8091610

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Mechanical characterization of vascular tissue using ultrasound

De Ruijter, J., Van De Vosse, F. N., Van Sambeek, M. J. M. & Lopata, R. G. P., 31 Oct 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. Brussels: IEEE Computer Society, 1 p. 8092737

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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).

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