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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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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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IEEE_Xplore

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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Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning

Scientific reports, 2022-07, Vol.12 (1), p.11334-11334, Article 11334

2022

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Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

Scientific reports, 2022-09, Vol.12 (1), p.15102-15102, Article 15102

2022

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Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

Scientific reports, 2021-07, Vol.11 (1), p.13976-13976, Article 13976

2021

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Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Laboratory investigation, 2021-04, Vol.101 (4), p.525-533

2021

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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.162-162

2019

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A comprehensive multi-domain dataset for mitotic figure detection

Scientific data, 2023-07, Vol.10 (1), p.484-12, Article 484

2023

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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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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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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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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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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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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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IEEE_Xplore

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors

Medical image analysis, 2021-10, Vol.73, p.102141-102141, Article 102141

2021

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

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

Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning

Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

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

A comprehensive multi-domain dataset for mitotic figure detection

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

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

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

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

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

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

Progressively Trained Convolutional Neural Networks for Deformable Image Registration

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors

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