Mitko Veta

Onderzoeksoutput

Onderzoeksoutput per jaar

2011 2020

• 1621 Citaties
• 22 Tijdschriftartikel
• 15 Conferentiebijdrage
• 2 Hoofdstuk
• 2 Abstract
• 4 Meer
  • 1 Voorwoord / nawoord
  • 1 Poster
  • 1 Meeting Abstract
  • 1 Dissertatie 4 (Onderzoek NIET TU/e / Promotie NIET TU/e)

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 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. (redactie). SPIE, 113141N. (Proceedings of SPIE; vol. 11314).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  Bestand

  • retinal images
  • Medical problems
  • Type 2 Diabetes Mellitus
  • Area Under Curve
  • screening
  1 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 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

  Open Access

  Bestand

  • Biomarkers
  • retina
  • image analysis
  • Image analysis
  • Retina
  2 Citaten (Scopus)

  76 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. (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 imaging
  1 Citaat (Scopus)

  2 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. (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
  • Segmentation
  • Enhancement
  • Magnetic resonance imaging
  • Magnetic resonance
  2 Citaten (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).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic

  • Deep learning
  • Ducts
  • Tissue
  • Learning algorithms
  • Pipelines

• 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

  • breast
  • chutes
  • ducts
  • Ducts
  • cancer
  1 Citaat (Scopus)

  6 Downloads (Pure)
• 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
  27 Citaten (Scopus)

  904 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 mei 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
  • Deep Learning
  • Decomposition
  • Deep learning
  • Coloring Agents
  1 Citaat (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. (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
  15 Citaten (Scopus)
• 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

  • Segmentation
  • Brain
  • Training
  • Magnetic resonance imaging
  • Convolution
  44 Citaten (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, 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
  • Deep learning
  • Image analysis
  • Neural Networks
  • Tissue
  30 Citaten (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. (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
  • Similarity
  3 Citaten (Scopus)

  2 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, 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

  • Segmentation
  • Nucleus
  • Tumors
  • Machine learning
  • Statistics
  17 Citaten (Scopus)

  5 Downloads (Pure)
• 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
  • Pathology
  • Testing
  29 Citaten (Scopus)

  3 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, blz. 618-621

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Biopsy
  • Watersheds
  • Deconvolution
  • Pathology
  • Tissue
  50 Citaten (Scopus)

  12 Downloads (Pure)