• Groene Loper, Building 15, Gemini-South 2.106, Secretary Rina van Dijck-Postma

    5612 AZ Eindhoven

    Netherlands

Research Output 1977 2020

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Conference contribution
2019
9 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
File
Biomarkers
Image analysis
Pipelines
Neural networks
Medical problems

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

landmarks
Recurrent neural networks
Mitral Valve
Magnetic Resonance Spectroscopy
Magnetic resonance

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

Magnetic resonance imaging
Brain
Neural networks
Rats
Tissue
4 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

Gadolinium
Magnetic resonance
Convolution
Magnetic resonance imaging
Segmentation

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

Adipose Tissue
Breast
Learning
Breast Neoplasms
Physiological Phenomena
5 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

Ducts
Labels
Masks
Health
Biomarkers
1 Citation (Scopus)
6 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
Magnetic resonance imaging
Computational methods
Neural networks
1 Citation (Scopus)
70 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
Image registration
Neural networks
2018
1 Citation (Scopus)
1 Downloads (Pure)

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

Biomarkers
Medical problems
Fractal dimension
Statistical methods
Computer aided diagnosis
1 Citation (Scopus)

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

Segmentation
Vessel
Misclassification Rate
Error Propagation
Labels
1 Citation (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., 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

13 Citations (Scopus)
834 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
Image registration
Parameterization
Neural networks
Three-Dimensional Imaging
parameterization
3 Citations (Scopus)

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

Medical problems
Health
Glucose
Feature extraction
Image processing

Inferring a third spatial dimension from 2D histological images

Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J., Moeskops, P. & Veta, M., 10 Jan 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

Tissue
Decomposition
Coloring Agents
Learning
Staining and Labeling

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

8 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., 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

Medical Image Analysis
Image analysis
Neural networks
Convolution
Neural Networks
1 Citation (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

Medical problems
Optics
Cameras
2017
1 Citation (Scopus)

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

Measurement Techniques
Vessel
Comparative Study
Active Contours
Software
24 Citations (Scopus)
2 Downloads (Pure)

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

Convolution
Magnetic resonance imaging
Brain
Segmentation
Neural networks
1 Citation (Scopus)

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. Armato III, S. G. & Petrick, N. A. (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

Optics
Processing
4 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

Segmentation
Imaging techniques
Brain
Imaging
Dice
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

Importance sampling
Patch
Segmentation
Importance Sampling
Processing

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

Diffusion tensor imaging
Tensors
Visualization
Statistical methods
2 Citations (Scopus)
98 Downloads (Pure)

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 Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cham: Sprnger Verlag, p. 126-135 (Lecture Notes in Computer Science; vol. 10552).

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

Open Access
File
Pulmonary diseases
Computerized tomography
Labels
Costs
21 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

Pathology
Image analysis
Neural Networks
Tissue
Color
2 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

Medical Imaging
Medical imaging
Classification Problems
Meta-learning
Medical Image Analysis

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. (EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)).

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

Visualization
Testing
Acoustic waves

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. SPIE, (Proceedings of SPIE; vol. 10133).

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

5 Citations (Scopus)
1 Downloads (Pure)

Retinal health information and notification system (RHINO)

Dashtbozorg, B., Zhang, J., Abbasi-Sureshjani, S., Huang, F. & ter Haar Romeny, B. M., 1 Mar 2017, Medical Imaging 2017: Computer-Aided Diagnosis. Armato, S. G. & Petrick, N. A. (eds.). Bellingham: SPIE, 6 p. 1013437. (Proceedings of SPIE; vol. 10134).

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

Biomarkers
Health
Optics
Bifurcation (mathematics)
Blood vessels

Stability metrics for optic radiation tractography : towards damage prediction after resective surgery

Meesters, S. P. L., Ossenblok, P. P. W., Wagner, L., Schijns, O. E. M. G., Boon, P., Florack, L. M. J., Vilanova Bartroli, A. & Duits, R., May 2017, ISMRM 25th Annual Meeting & Exhibition, 22-27 April 2017, Honolulu, Hawaii. 3476

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

Radiation
Temporal Lobe
Visual Fields
Epilepsy
2 Citations (Scopus)

Stain separation in digital bright field histopathology

Astola, L. J., 19 Jan 2017, Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA 2016), December 12-15, 2016, Oulu, Finland. Piscataway: Institute of Electrical and Electronics Engineers, 6 p. 7820956

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

Coloring Agents
Imaging techniques
Pathology
Microscopes
Tissue
8 Citations (Scopus)
5 Downloads (Pure)

Supervised local error estimation for nonlinear image registration using convolutional neural networks

Eppenhof, K. A. J. & Pluim, J. P. W., 24 Feb 2017, Medical Imaging 2017: Image Processing. Styner, M. A. & Angelini, E. D. (eds.). SPIE, 6 p. 101331U. (Proceedings of SPIE; vol. 10133)(Progress in Biomedical Optics and Imaging; vol. 18, no. 47).

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

Open Access
Image registration
Error analysis
Neural networks
Pixels
Digital Subtraction Angiography
3 Citations (Scopus)
1 Downloads (Pure)

The truth is hard to make: validation of medical image registration

Pluim, J. P. W., Muenzing, S. E. A., Eppenhof, K. A. J. & Murphy, K., 13 Apr 2017, 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Piscataway: Institute of Electrical and Electronics Engineers, p. 2294-2300 7 p. 7899978

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

Image registration
Image analysis
2016
1 Citation (Scopus)

Accuracy assessment of CBCT-based volumetric brain shift field

Ockeloen, I. M., Ruijters, D., Breeuwer, M., Babic, D., Brina, O. & Pereira, V. M., 2016, Clinical Image-Based Procedures. Translational Research in Medical Imaging: 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers. Dordrecht: Springer, p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9401).

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

Brain
Surgery
Landmarks
Standard deviation
Cones

A framework for fast initial exploration of PC-MRI cardiac flow

Broos, A., de Hoon, N., de Koning, P., Geest, R. V. D., Vilanova, A. & Jalba, A. C., 1 Sep 2016, Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine. Lundervold, S. BB. PA. VH. HA. HA. (ed.). New York: Association for Computing Machinery, Inc, p. 69-78 10 p.

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

Magnetic resonance
Imaging techniques
Blood
Flow visualization
Visualization
14 Citations (Scopus)
3 Downloads (Pure)

Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores

Abbasi-Sureshjani, S., Smit-Ockeloen, I. M., Bekkers, E. J., Dashtbozorg, B. & ter Haar Romeny, B. M., 2016, Proceedings of the 13th IEEE International Symposium on Biomedical Imaging (ISBI), April 13-16 2016, Prague, Czech Republic. Piscataway: Institute of Electrical and Electronics Engineers, p. 189-192 4 p.

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

Brain
Pipelines
12 Citations (Scopus)
2 Downloads (Pure)

Automatic optic disc and fovea detection in retinal images using super-elliptical convergence index filters

Dashtbozorg, B., Zhang, J., Huang, F. & ter Haar Romenij, B. M., 2016, Image Analysis and Recognition: 13th International Conference, ICIAR 2016, in Memory of Mohamed Kamel, Póvoa de Varzim, Portugal, July 13-15, 2016, Proceedings. Campilho, A. & Karray, F. (eds.). Basel: Springer, p. 697-706 10 p. (Lecture Notes in Computer Science (LNCS); vol. 9730).

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

1 Citation (Scopus)
10 Downloads (Pure)

Automatic segmentation and registration of abdominal aortic aneurysms using 3D ultrasound

van Disseldorp, E. M. J., van Dronkelaar, J. J., Pluim, J. P. W., van de Vosse, F., van Sambeek, M. R. H. M. & Lopata, R. G. P., 1 Nov 2016, 2016 IEEE International Ultrasonics Symposium, IUS 2016. IEEE Computer Society, 4 p. 7728772

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

geometry
tomography
hemorrhages
risk assessment
stress analysis
1 Downloads (Pure)

Bridging disconnected curvilinear structures via numerical evolutions of completion process in ophthalmologic images

Zhang, J., Abbasi-Sureshjani, S., Dashtbozorg, B. & ter Haar Romenij, B. M., 2016, Proceedings of the Ophthalmic Medical Image Analysis : Third International Workshop (OMIA 2016) Held in Conjunction with MICCAI 2016, 17-21 October 2016, Athens, Greece. s.n., p. 156-157

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

8 Citations (Scopus)
5 Downloads (Pure)

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

Nucleus
Tumors
Segmentation
Learning systems
Statistics
63 Citations (Scopus)
9 Downloads (Pure)

Deep learning for multi-task medical image segmentation in multiple modalities

Moeskops, P., Wolterink, J. M., van der Velden, B. H. M., Gilhuijs, K. G. A., Leiner, T., Viergever, M. A. & Išgum, I., 19 Oct 2016, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G. & Wells, W. (eds.). Springer, p. 478-486 (Lecture notes in computer science; vol. 9901).

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

Image segmentation
Neural networks
Magnetic resonance imaging
Brain
Tissue
4 Citations (Scopus)
2 Downloads (Pure)

Employing visual analytics to aid the design of white matter hyperintensity classifiers

Raidou, R. G., Kuijf, H. J., Sepasian, N., Pezzotti, N., Bouvy, W. H., Breeuwer, M. & Vilanova, A., 2016, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016 : Proceedings. Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G. & Wells, W. (eds.). Springer, Vol. 2. p. 97-105 (Lecture Notes in Computer Science; vol. 9901).

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

Classifiers
Feature extraction
Pipelines
Magnetic resonance imaging
Brain
61 Downloads (Pure)

Infrastructure for retinal image analysis

Dashtbozorg, B., Abbasi-Sureshjani, S., Zhang, J., Huang, F., Bekkers, E. J. & ter Haar Romenij, B. M., 2016, Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop (OMIA 2016) Held in Conjunction with MICCAI 2016. Chen, X., Garvin, M. K., Liu, J., Trucco, E. & Xu, Y. (eds.). p. 105-112 8 p.

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

Open Access
File
1 Downloads (Pure)

Learning color receptive fields and color differential structure

ter Haar Romenij, B. M., 8 Jan 2016, 11th International Conference on Natural Computation, ICNC 2015, 15-17 August 2015, Zhangjiajie, China. Brussels: IEEE Computer Society, Vol. 2016. p. 143-148 6 p. 7377980

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

Receptive Field
Passive Cutaneous Anaphylaxis
Color
Learning
Patch
3 Downloads (Pure)

Modified geodesic ray-tracing for diffusion tensor imaging

Sepasian, N., ten Thije Boonkkamp, J. H. M., Astola, L. J., Breeuwer, M. & Fuster, A., 2016, International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 13-16 April 2016, Prague, Czech Republic. Piscataway: Institute of Electrical and Electronics Engineers, p. 489-493 5 p.

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

Diffusion tensor imaging
Ray tracing
Fibers
Tensors
Brain

Temporal interpolation of 4D PC-MRI blood-flow measurements using bidirectional physics-based fluid simulation

de Hoon, N., Jalba, A. C., Eisemann, E. & Vilanova, A., 1 Sep 2016, VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine. Bruckner, S., Preim, B., Vilanova, A., Hauser, H., Hennemuth, A. & Lundervold, A. (eds.). The Eurographics Association

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

flow measurement
interpolation
physics
blood
fluid

The online anatomical human: web-based anatomy education

Smit, N. N., Hofstede, C-W., Kraima, A. C., Jansma, D., Deruiter, M. C., Eisemann, E. & Vilanova, A., 2016, Proceedings of Eurographics - Education papers. Santos, B. S. & Dischler, J-M. (eds.). The Eurographics Association, 4 p.

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

Anatomy
Education
Web Browser
Students
Diagnostic Imaging

VarVis: visualizing anatomical variation in branching structures

Smit, N. N., Kraima, A. C., Jansma, D., Deruiter, M. C., Eisemann, E. & Vilanova, A., 2016, EuroVis - Short Papers. Bertini, E., Elmqvist, N. & Wischgoll, T. (eds.). 5 p.

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

Topology

Visual analytics for the exploration and assessment of segmentation errors

Raidou, R. G., Marcelis, F. J. J., Breeuwer, M., Gröller, M. E. & Vilanova Bartroli, A., 2016, Proceedings of VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine. p. 193-202

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

Feedback
2015
1 Downloads (Pure)

A geometrical approach to find corresponding patches in 3D medical surfaces

Sepasian, N., Kumar, K. & Breeuwer, M., 2015, Similarity-Based Pattern Analysis and Recognition : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings. Feragan, A., Pelillo, M. & Loog, M. (eds.). Berlin: Springer, p. 217-219 (Lecture Notes in Computer Science; vol. 9370)(Image processing, computer vision, pattern recognition, and graphics; vol. 9370).

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