Biopsy-free in vivo virtual histology of skin using deep learning

A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

(2021) Amaro Taylor‐Weiner et al.   HEPATOLOGY

Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labels

(2021) Marissa D’Alonzo et al.   Scientific Reports

Computational interference microscopy enabled by deep learning

(2021) Yuheng Jiao et al.   APL Photonics

Deep learning-based transformation of H&E stained tissues into special stains

(2021) Kevin de Haan et al.   Nature Communications

A Review of Noninvasive Techniques for Skin Cancer Detection in Dermatology

(2020) Haley D. Heibel et al.   AMERICAN JOURNAL OF CLINICAL DERMATOLOGY

Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue

(2020) Yijie Zhang et al.   Light-Science & Applications

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

(2020) Mohamed Amgad et al.   npj Breast Cancer

Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)

(2020) Kivanc Kose et al.   MEDICAL IMAGE ANALYSIS

PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning

(2019) Yair Rivenson et al.   Light-Science & Applications

Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy

(2019) Navid Borhani et al.   Biomedical Optics Express

CME article part 1: Visual perception, cognition and error in dermatologic diagnosis

(2019) Christine J. Ko et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Ex-vivo Fluorescence Confocal Microscopy: The First Application For Real-Time Pathologic Examination of Prostatic Tissue

(2019) Stefano Puliatti et al.   BJU INTERNATIONAL

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

(2019) Yair Rivenson et al.   Nature Biomedical Engineering

Reflectance Confocal Microscopy made easy: the four must-know key features for the diagnosis of melanoma and non-melanoma skin cancers

(2019) Giovanni Pellacani et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Computational Pathology Definitions, Best Practices, and Recommendations for Regulatory Guidance: A White Paper from the Digital Pathology Association

(2019) Esther Abels et al.   JOURNAL OF PATHOLOGY

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

(2019) Guha Balakrishnan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning

(2019) Yichen Wu et al.   NATURE METHODS

Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy

(2019) Kevin de Haan et al.   PROCEEDINGS OF THE IEEE

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

(2018) H A Haenssle et al.   ANNALS OF ONCOLOGY

Evaluation of Bedside Diagnostic Accuracy, Learning Curve, and Challenges for a Novice Reflectance Confocal Microscopy Reader for Skin Cancer Detection In Vivo

(2018) Manu Jain et al.   JAMA Dermatology

Diagnostic Accuracy of Reflectance Confocal Microscopy Skin

(2018) Babar K. Rao et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Reflectance confocal microscopy terminology glossary for non-melanocytic skin lesions: A systematic review

(2018) Cristian Navarrete-Dechent et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

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

(2018) Hongda Wang et al.   NATURE METHODS

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

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The burden of skin disease in the United States

(2017) Henry W. Lim et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Incidence and Trends of Basal Cell Carcinoma and Cutaneous Squamous Cell Carcinoma

(2017) John G. Muzic et al.   MAYO CLINIC PROCEEDINGS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Reflectance confocal microscopy of skin in vivo: From bench to bedside

(2016) Milind Rajadhyaksha et al.   LASERS IN SURGERY AND MEDICINE

Virtual Hematoxylin and Eosin Transillumination Microscopy Using Epi-Fluorescence Imaging

(2016) Michael G. Giacomelli et al.   PLoS One

Periadnexal Mucin as an Additional Histopathologic Feature of Chronic Eczematous Dermatitis

(2015) Noo Ri Lee et al.   Annals of Dermatology

Combination cancer immunotherapies tailored to the tumour microenvironment

(2015) Mark J. Smyth et al.   Nature Reviews Clinical Oncology

Methods and rates of dermoscopy usage: A cross-sectional survey of US dermatologists stratified by years in practice

(2014) Era Caterina Murzaku et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Peritumoral clefting in basal cell carcinoma: correlation of in vivo reflectance confocal microscopy and routine histology

(2010) Martina Ulrich et al.   JOURNAL OF CUTANEOUS PATHOLOGY

Feasibility of digitally stained multimodal confocal mosaics to simulate histopathology

(2009) Daniel S. Gareau   JOURNAL OF BIOMEDICAL OPTICS

Confocal mosaicing microscopy in skin excisions: a demonstration of rapid surgical pathology

(2009) D.S. GAREAU et al.   JOURNAL OF MICROSCOPY