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Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings

1, 2019

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Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols

IEEE transactions on biomedical engineering, 2021-03, Vol.68 (3), p.759-770

2021

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Progressively Trained Convolutional Neural Networks for Deformable Image Registration

IEEE transactions on medical imaging, 2020-05, Vol.39 (5), p.1594-1604

2020

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Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

PloS one, 2016-08, Vol.11 (8), p.e0161286-e0161286

2016

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Editorial Computational Pathology

IEEE journal of biomedical and health informatics, 2021-02, Vol.25 (2), p.303-306

2021

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Automated clear cell renal carcinoma grade classification with prognostic significance

PloS one, 2019-10, Vol.14 (10), p.e0222641-e0222641

2019

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Pros and cons of artificial intelligence implementation in diagnostic pathology

Histopathology, 2024-05, Vol.84 (6), p.924-934

2024

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LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

IEEE journal of biomedical and health informatics, 2024-03, Vol.28 (3), p.1161-1172

2024

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Learning Domain-Invariant Representations of Histological Images

Frontiers in medicine, 2019-07, Vol.6, p.162

2019

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Corrigendum to “Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge” [Medical Image Analysis, 54 (2019) 111--121]

Medical image analysis, 2019-08, Vol.56, p.43-43

Veta, Mitko

2019

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Author Correction: A comprehensive multi-domain dataset for mitotic figure detection

Scientific data, 2024-07, Vol.11 (1), p.717-3, Article 717

2024

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Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

Journal of pathology informatics, 2023-01, Vol.14, p.100316-100316, Article 100316

2023

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Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective

Diagnostics (Basel), 2022-04, Vol.12 (5), p.1042

2022

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Immunohistochemistry scoring of breast tumor tissue microarrays: A comparison study across three software applications

Journal of pathology informatics, 2022-01, Vol.13, p.100118-100118, Article 100118

2022

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Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings

1st ed. 2018., 2018

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A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Medical image analysis, 2021-01, Vol.67, p.101832-101832, Article 101832

2021

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Roto-translation equivariant convolutional networks: Application to histopathology image analysis

Medical image analysis, 2021-02, Vol.68, p.101849-101849, Article 101849

2021

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Physics-informed neural networks for myocardial perfusion MRI quantification

Medical image analysis, 2022-05, Vol.78, p.102399-102399, Article 102399

2022

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Can automatic image analysis replace the pathologist in cardiac allograft rejection diagnosis?

European heart journal, 2021-06, Vol.42 (24), p.2370-2372

2021

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Experimental dermatology, 2021-05, Vol.30 (5)

2021

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Experimental dermatology, 2021-05, Vol.30 (5), p.i-i

2021

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Artificial intelligence for detecting keratoconus

Cochrane database of systematic reviews, 2023-11, Vol.11 (11), p.CD014911

2023

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Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, p.228-237

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Going fully digital: Perspective of a Dutch academic pathology lab

Journal of pathology informatics, 2013, Vol.4 (1), p.15-15, Article 15

2013

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Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings

Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols

Progressively Trained Convolutional Neural Networks for Deformable Image Registration

Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

Editorial Computational Pathology

Automated clear cell renal carcinoma grade classification with prognostic significance

Pros and cons of artificial intelligence implementation in diagnostic pathology

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

Learning Domain-Invariant Representations of Histological Images

Corrigendum to “Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge” [Medical Image Analysis, 54 (2019) 111--121]

Author Correction: A comprehensive multi-domain dataset for mitotic figure detection

Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective

Immunohistochemistry scoring of breast tumor tissue microarrays: A comparison study across three software applications

Long-term prognosis of young breast cancer patients (≤40 years) who did not receive adjuvant systemic treatment: protocol for the PARADIGM initiative cohort study

Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Roto-translation equivariant convolutional networks: Application to histopathology image analysis

Physics-informed neural networks for myocardial perfusion MRI quantification

Can automatic image analysis replace the pathologist in cardiac allograft rejection diagnosis?

Cover Image

Cover Image

Artificial intelligence for detecting keratoconus

Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

Going fully digital: Perspective of a Dutch academic pathology lab

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