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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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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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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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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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Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation

European radiology experimental, 2024-08, Vol.8 (1), p.93-6

2024

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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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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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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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Artificial intelligence for detecting keratoconus

Cochrane database of systematic reviews, 2021-12, Vol.2021 (12)

2021

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Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk

Cancer epidemiology, biomarkers & prevention, 2020-11, Vol.29 (11), p.2358-2368

2020

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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

Translational vision science & technology, 2020-08, Vol.9 (2), p.48-48

2020

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Abstract 4632: Automated quantitative measures of terminal duct lobular unit involution and breast cancer risk

Cancer research (Chicago, Ill.), 2020-08, Vol.80 (16_Supplement), p.4632-4632

2020

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Abstract PR009: Effect of testosterone therapy on quantitative breast lobular atrophy in transmasculine individuals

Cancer epidemiology, biomarkers & prevention, 2023-12, Vol.32 (12_Supplement), p.PR009-PR009

2023

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Automatic evaluation of graft orientation during Descemet membrane endothelial keratoplasty using intraoperative OCT

Biomedical optics express, 2022-05, Vol.13 (5), p.2683-2694

2022

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Digital pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 1013, 2019, Proceedings

1st Edition 2019, 2019

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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

Translational vision science & technology, 2020-08, Vol.9 (2)

2020

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Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation

Journal of medical imaging (Bellingham, Wash.), 2022-09, Vol.9 (5), p.052407-052407

2022

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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

2021

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Segmentation and Classification of Melanoma and Nevus in Whole Slide Images

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.263-266

2020

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Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer

JNCI cancer spectrum, 2021-02, Vol.5 (1)

2021

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Pros and cons of artificial intelligence implementation in diagnostic pathology

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

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

A comprehensive multi-domain dataset for mitotic figure detection

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

Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation

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

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

Cover Image

Cover Image

Artificial intelligence for detecting keratoconus

Artificial intelligence for detecting keratoconus

Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

Abstract 4632: Automated quantitative measures of terminal duct lobular unit involution and breast cancer risk

Abstract PR009: Effect of testosterone therapy on quantitative breast lobular atrophy in transmasculine individuals

Automatic evaluation of graft orientation during Descemet membrane endothelial keratoplasty using intraoperative OCT

Digital pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 1013, 2019, Proceedings

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation

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

Segmentation and Classification of Melanoma and Nevus in Whole Slide Images

Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer

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