Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Overview of attention for book

Springer International Publishing

Attention for Chapter: Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

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Citations

dimensions_citation: 16 Dimensions

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mendeley: 24 Mendeley

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So far, Dimensions has found 16 publications that cite this research output.

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The most recent citing publications are shown below. View all 16 publications that cite this research output on Dimensions.

Deep Learning for Nasopharyngeal Carcinoma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis

Article in Bioengineering (May 2024)

A universal medically assisted model for anatomical landmark detection in radioactive images

Article in International Journal of Imaging Systems and Technology (April 2024)

Anatomical landmark detection in chest x-ray images using transformer-based networks

Conference proceeding in Progress in Biomedical Optics and Imaging (April 2024)

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Table of Contents

About this Attention Score

Mentioned by

Citations

Readers on

16

Deep Learning for Nasopharyngeal Carcinoma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis

A universal medically assisted model for anatomical landmark detection in radioactive images

Anatomical landmark detection in chest x-ray images using transformer-based networks