Transfer learning as an AI-based solution to address limited datasets in space medicine

Contributed Session I: A Multi-Modal Visual Assessment System For Monitoring Spaceflight Associated Neuro-Ocular Syndrome (SANS) During Long Duration Spaceflight

(2022) Joshua Ong et al.   JOURNAL OF VISION

Transfer learning for medical image classification: a literature review

(2022) Hee E. Kim et al.   BMC MEDICAL IMAGING

A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning

(2022) Ethan Waisberg et al.   Life Sciences in Space Research

Head-Mounted Dynamic Visual Acuity for G-Transition Effects During Interplanetary Spaceflight: Technology Development and Results from an Early Validation Study

(2022) Ethan Waisberg et al.   Aerospace Medicine and Human Performance

Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome

(2022) Joshua Ong et al.   NPJ Microgravity

Head-Down Tilt Bed Rest Studies as a Terrestrial Analog for Spaceflight Associated Neuro-Ocular Syndrome

(2021) Joshua Ong et al.   Frontiers in Neurology

Ground-Based Analogs for Human Spaceflight

(2020) Meenakshi Pandiarajan et al.   Frontiers in Physiology

Targeted transfer learning to improve performance in small medical physics datasets

(2020) Miguel Romero et al.   MEDICAL PHYSICS

Detection of anaemia from retinal fundus images via deep learning

(2019) Akinori Mitani et al.   Nature Biomedical Engineering

Medical Image Analysis using Convolutional Neural Networks: A Review

(2018) Syed Muhammad Anwar et al.   JOURNAL OF MEDICAL SYSTEMS

Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images

(2016) Phillip M. Cheng et al.   JOURNAL OF DIGITAL IMAGING