Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging

The Masked Autoencoder (MAE) has recently demonstrated effectiveness in pre-training Vision Transformers (ViT) for analyzing natural images. By reconstructing complete images from partially masked inputs, the ViT encoder gathers contextual information to predict the missing regions. This capability...

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Bibliographic Details

Published in:	Proceedings (International Symposium on Biomedical Imaging) pp. 1 - 5
Main Authors:	Das, Badhan Kumar, Zhao, Gengyan, Liu, Han, Re, Thomas J., Comaniciu, Dorin, Gibson, Eli, Maier, Andreas
Format:	Conference Proceeding
Language:	English
Published:	IEEE 14.04.2025
Subjects:	Adaptation models Autoencoders Biomedical imaging Computer vision Image segmentation Magnetic resonance imaging Masked Autoencoders Self Pre-training Solid modeling Three-dimensional displays Training Transformers Variable Inputs Vision Transformer
ISSN:	1945-8452
Online Access:	Get full text
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