AGNet: Automatic generation network for skin imaging reports

SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network

(2020) Meng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A descriptive framework for the field of deep learning applications in medical images

(2020) Yingjie Tian et al.   KNOWLEDGE-BASED SYSTEMS

Learning to detect chest radiographs containing pulmonary lesions using visual attention networks

(2019) Emanuele Pesce et al.   MEDICAL IMAGE ANALYSIS

Learning to detect lymphocytes in immunohistochemistry with deep learning

(2019) Zaneta Swiderska-Chadaj et al.   MEDICAL IMAGE ANALYSIS

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

(2019) Nan Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A data-driven framework of typical treatment process extraction and evaluation

(2018) Jingfeng Chen et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison

(2018) Giorgio Leonardi et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Multitask Learning for Cross-Domain Image Captioning

(2018) Min Yang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models

(2018) Yidong Chai et al.   KNOWLEDGE-BASED SYSTEMS

Automatic Grading of Prostate Cancer in Digitized Histopathology Images: Learning from Multiple Experts

(2018) Guy Nir et al.   MEDICAL IMAGE ANALYSIS

Deep learning for automated skeletal bone age assessment in X-ray images

(2017) C. Spampinato et al.   MEDICAL IMAGE ANALYSIS

Process mining in healthcare: A literature review

(2016) Eric Rojas et al.   JOURNAL OF BIOMEDICAL INFORMATICS

From medical image to automatic medical report generation

(2015) P. Kisilev et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT