Onderzoeksoutput per jaar
Onderzoeksoutput 2011 2019
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 mrt 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (redactie). Bellingham: SPIE, 7 blz. 109491N. (Proceedings of SPIE; vol. 10949)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
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. (redactie). Bellingham: SPIE, 13 blz. 1094916. (Proceedings of SPIE; vol. 10949)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
landmarks
Recurrent neural networks
Mitral Valve
Magnetic Resonance Spectroscopy
Magnetic resonance
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. Li, S., McLeod, K., Young, A., Rhode, K., Pop, M., Zhao, J., Mansi, T. & Sermesant, M. (redactie). Cham: Springer, blz. 348-356 9 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer 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).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic
Adipose Tissue
Breast
Learning
Breast Neoplasms
Physiological Phenomena
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 mrt 2019, Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (redactie). Bellingham, 7 blz. 109560Q. (Proceedings of SPIE; vol. 10956)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Ducts
Labels
Masks
Health
Biomarkers
2018
Deformable image registration using convolutional neural networks
Eppenhof, K. A. J., Lafarge, M. W., Moeskops, P., Veta, M. & Pluim, J. P. W., 15 mrt 2018, Medical Imaging 2018 Image Processing. Bellingham: SPIE, 6 blz. 105740S. (Proceedings of SPIE; vol. 10574)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access
Bestand
Image registration
Parameterization
Neural networks
Three-Dimensional Imaging
parameterization
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, blz. 586-589 4 blz.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Tissue
Decomposition
Coloring Agents
Learning
Staining and Labeling
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. (redactie). Cham: Springer, blz. 440-448 9 blz. (Lecture Notes in Computer Science; vol. 11070)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Medical Image Analysis
Image analysis
Neural networks
Convolution
Neural Networks
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, blz. 56-64 9 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Convolution
Magnetic resonance imaging
Brain
Segmentation
Neural networks
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, blz. 83-91 9 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Pathology
Image analysis
Neural Networks
Tissue
Color
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. (redactie). Cham: Springer, blz. 59-66 8 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10552 LNCS)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Medical Imaging
Medical imaging
Classification Problems
Meta-learning
Medical Image Analysis
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, blz. 632-639 8 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Nucleus
Tumors
Segmentation
Learning systems
Statistics
2013
Detecting mitotic figures in breast cancer histopathology images
Veta, M., Diest, van, P. J. & Pluim, J. P. W., 2013, SPIE Medical Imaging Symposium 2013: Digital Pathology, 10 - 11 February 2013, Lake Buena Vista, Florida, USA. Gurcan, M. N. & Madabhushi, X. (redactie). Washington: SPIE, blz. 867607-1/7 (Proceedings of SPIE; vol. 8676)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Microscopes
Imaging techniques
Histology
Testing
Pathology
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, blz. 618-621Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Biopsy
Watersheds
Pathology
Deconvolution
Tissue