Explainable Image Quality Assessments in Teledermatological Photography

DermX: An end-to-end framework for explainable automated dermatological diagnosis

(2022) Raluca Jalaboi et al.   MEDICAL IMAGE ANALYSIS

The Impact of COVID-19 on Teledermatology

(2021) Cassandra B. Yeboah et al.   DERMATOLOGIC CLINICS

Key challenges for delivering clinical impact with artificial intelligence

(2019) Christopher J. Kelly et al.   BMC Medicine

Performance evaluation of image denoising developed using convolutional denoising autoencoders in chest radiography

(2018) Donghoon Lee et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

On the use of deep learning for blind image quality assessment

(2017) Simone Bianco et al.   Signal Image and Video Processing

Teledermatology: Key factors associated with reducing face-to-face dermatology visits

(2014) Shoshana M. Landow et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY