Hasil Pencarian - Mitko Veta

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  1. 1
    Going fully digital: Perspective of a Dutch academic pathology lab

    Going fully digital: Perspective of a Dutch academic pathology lab oleh Nikolas Stathonikos, Mitko Veta, André Huisman, Paul J van Diest

    Diterbitkan 2013-01-01
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  2. 2
    Learning Domain-Invariant Representations of Histological Images

    Learning Domain-Invariant Representations of Histological Images oleh Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Mitko Veta

    Diterbitkan 2019-07-01
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  3. 3
    Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning

    Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning oleh Max Blokker, Philip C. de Witt Hamer, Pieter Wesseling, Marie Louise Groot, Mitko Veta

    Diterbitkan 2022-07-01
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  4. 4
    Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method.

    Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method. oleh Mitko Veta, Paul J van Diest, Mehdi Jiwa, Shaimaa Al-Janabi, Josien P W Pluim

    Diterbitkan 2016-01-01
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  5. 5
    Automatic nuclei segmentation in H&E stained breast cancer histopathology images.

    Automatic nuclei segmentation in H&E stained breast cancer histopathology images. oleh Mitko Veta, Paul J van Diest, Robert Kornegoor, André Huisman, Max A Viergever, Josien P W Pluim

    Diterbitkan 2013-01-01
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  6. 6
    Automated clear cell renal carcinoma grade classification with prognostic significance.

    Automated clear cell renal carcinoma grade classification with prognostic significance. oleh Katherine Tian, Christopher A Rubadue, Douglas I Lin, Mitko Veta, Michael E Pyle, Humayun Irshad, Yujing J Heng

    Diterbitkan 2019-01-01
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  7. 7
    Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation

    Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation oleh Richard Crawley, Sina Amirrajab, Didier Lustermans, Robert J. Holtackers, Sven Plein, Mitko Veta, Marcel Breeuwer, Amedeo Chiribiri, Cian M. Scannell

    Diterbitkan 2024-08-01
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  8. 8
    Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

    Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow oleh Stijn A. van Bergeijk, Nikolas Stathonikos, Natalie D. ter Hoeve, Maxime W. Lafarge, Tri Q. Nguyen, Paul J. van Diest, Mitko Veta

    Diterbitkan 2023-01-01
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  9. 9
    Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

    Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty oleh Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg, Luuk van der Hoek, Josien P. W. Pluim, Javier Cabrerizo, Mark Alberti, Mitko Veta

    Diterbitkan 2021-07-01
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  10. 10
    Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning

    Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning oleh Laura M. G. van Huizen, Max Blokker, Yael Rip, Mitko Veta, Kirsten A. Mooij Kalverda, Peter I. Bonta, Jan Willem Duitman, Marie Louise Groot

    Diterbitkan 2023-01-01
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  11. 11
    Immunohistochemistry scoring of breast tumor tissue microarrays: A comparison study across three software applications

    Immunohistochemistry scoring of breast tumor tissue microarrays: A comparison study across three software applications oleh Gabrielle M. Baker, Vanessa C. Bret-Mounet, Tengteng Wang, Mitko Veta, Hanqiao Zheng, Laura C. Collins, A. Heather Eliassen, Rulla M. Tamimi, Yujing J. Heng

    Diterbitkan 2022-01-01
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  12. 12
    Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

    Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images oleh Suzanne C. Wetstein, Vincent M. T. de Jong, Nikolas Stathonikos, Mark Opdam, Gwen M. H. E. Dackus, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta

    Diterbitkan 2022-09-01
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  13. 13
    Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective

    Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective oleh Rachel N. Flach, Nina L. Fransen, Andreas F. P. Sonnen, Tri Q. Nguyen, Gerben E. Breimer, Mitko Veta, Nikolas Stathonikos, Carmen van Dooijeweert, Paul J. van Diest

    Diterbitkan 2022-04-01
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  14. 14
    Author Correction: A comprehensive multi-domain dataset for mitotic figure detection

    Author Correction: A comprehensive multi-domain dataset for mitotic figure detection oleh Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Robert Klopfleisch, Christof A. Bertram

    Diterbitkan 2024-07-01
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  15. 15
    A comprehensive multi-domain dataset for mitotic figure detection

    A comprehensive multi-domain dataset for mitotic figure detection oleh Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Robert Klopfleisch, Christof A. Bertram

    Diterbitkan 2023-07-01
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  16. 16
    Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk.

    Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk. oleh Suzanne C Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien P W Pluim, Rulla M Tamimi, Yujing J Heng, Mitko Veta

    Diterbitkan 2020-01-01
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