Spectral decoupling for training transferable neural networks in medical imaging

The RSNA International COVID-19 Open Annotated Radiology Database (RICORD)

(2021) Emily B. Tsai et al.   RADIOLOGY

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

(2021) Tawsifur Rahman et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning in histopathology: the path to the clinic

(2021) Jeroen van der Laak et al.   NATURE MEDICINE

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

(2020) Zaneta Swiderska-Chadaj et al.   Scientific Reports

PadChest: A large chest x-ray image dataset with multi-label annotated reports

(2020) Aurelia Bustos et al.   MEDICAL IMAGE ANALYSIS

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

(2019) Wouter Bulten et al.   Scientific Reports

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

(2019) Julia K. Winkler et al.   JAMA Dermatology

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

(2019) David Tellez et al.   MEDICAL IMAGE ANALYSIS

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma

(2015) Jonathan I. Epstein et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY