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Found 5 papers, 3 papers with code
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
STOIC2021 consisted of a Qualification phase, where participants developed challenge solutions using 2000 publicly available CT scans, and a Final phase, where participants submitted their training methodologies with which solutions were trained on CT scans of 9724 subjects.
Towards Automated COVID-19 Presence and Severity Classification
COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times.
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions
The effectiveness of the approach was assessed by evaluating its performance in removing identifiable facial attributes to increase the anonymity of the given individual face.
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
Because of the overall scarcity of patients with ultra-rare disorders, it is infeasible to directly train a model on them.
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Furthermore, we created simple baselines of few-shot meta-learning methods to improve our base feature descriptor.
