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Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI

IEEE transactions on biomedical engineering, 2021-02, Vol.68 (2), p.374-383

2021

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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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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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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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A review of machine learning applications for the proton MR spectroscopy workflow

Magnetic resonance in medicine, 2023-10, Vol.90 (4), p.1253-1270

2023

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Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning

PloS one, 2023-06, Vol.18 (6), p.e0279525-e0279525

2023

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Whole‐slide margin control through deep learning in Mohs micrographic surgery for basal cell carcinoma

Experimental dermatology, 2021-05, Vol.30 (5), p.733-738

2021

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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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Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk

PloS one, 2020-04, Vol.15 (4), p.e0231653-e0231653

2020

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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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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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

JAMA : the journal of the American Medical Association, 2017-12, Vol.318 (22), p.2199

2017

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Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3543-3554

2021

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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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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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Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI

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

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

Automated clear cell renal carcinoma grade classification with prognostic significance

Pros and cons of artificial intelligence implementation in diagnostic pathology

A review of machine learning applications for the proton MR spectroscopy workflow

Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning

Whole‐slide margin control through deep learning in Mohs micrographic surgery for basal cell carcinoma

Learning Domain-Invariant Representations of Histological Images

Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk

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

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

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

Editorial Computational Pathology

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

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Physics-informed neural networks for myocardial perfusion MRI quantification

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

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