Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions

The Current and Future State of AI Interpretation of Medical Images

(2023) Pranav Rajpurkar et al.   NEW ENGLAND JOURNAL OF MEDICINE

Oral Epithelial Dysplasia Grading Systems: A Systematic Review & Meta-Analysis

(2022) Zaid H. Khoury et al.   INTERNATIONAL JOURNAL OF SURGICAL PATHOLOGY

Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation

(2022) Jiwoong J. Jeong et al.   JOURNAL OF DIGITAL IMAGING

Synthetic patient data in health care: a widening legal loophole

(2022) Anmol Arora et al.   LANCET

Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images

(2022) Ahmed Naglah et al.   MEDICAL IMAGE ANALYSIS

Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

(2022) André Homeyer et al.   MODERN PATHOLOGY

Super-resolution and Segmentation Deep Learning for Breast Cancer Histopathology Image Analysis.

(2022) Aniwat Juhong et al.   Biomedical Optics Express

Computational tissue staining of non-linearmultimodal imaging using supervised andunsupervised deep learning

(2021) Pranita Pradhan et al.   Biomedical Optics Express

Validating Whole Slide Imaging Systems for Diagnostic Purposes in Pathology: Guideline Update From the College of American Pathologists in Collaboration With the American Society for Clinical Pathology and the Association for Pathology Informatics

(2021) Andrew J. Evans et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

On Hallucinations in Tomographic Image Reconstruction

(2021) Sayantan Bhadra et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The Use of Artificial Intelligence and Deep Machine Learning in Oncologic Histopathology

(2020) Ahmed S. Sultan et al.   JOURNAL OF ORAL PATHOLOGY & MEDICINE

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning

(2020) Erik A. Burlingame et al.   Scientific Reports

A Style-Based Generator Architecture for Generative Adversarial Networks

(2020) Tero Karras et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

(2019) Yair Rivenson et al.   Nature Biomedical Engineering

DICOM Images Have Been Hacked! Now What?

(2019) Benoit Desjardins et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Automated Classification of Skin Lesions: From Pixels to Practice

(2018) Akhila Narla et al.   JOURNAL OF INVESTIGATIVE DERMATOLOGY

Deep learning enables cross-modality super-resolution in fluorescence microscopy

(2018) Hongda Wang et al.   NATURE METHODS

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

(2017) Neeraj Kumar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Stain Specific Standardization of Whole-Slide Histopathological Images

(2016) Babak Ehteshami Bejnordi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center

(2013) Liron Pantanowitz et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Time to Take Stock: A Meta-Analysis and Systematic Review of Analgesic Treatment Disparities for Pain in the United States

(2012) Salimah H. Meghani et al.   PAIN MEDICINE