
Contains the models for the experiments conducted and published in the paper "Cardiac Shape Analysis with Nouveau Variational Autoencoder" as part of my dissertation for MSc degree in Computing (Artificial Intelligence and Machine Learning), Imperial College London (2023-2024). Main repository: https://github.com/j-freddy/nvae-shape-encoding With the exception of segmentation models trained for M&Ms dataset (>45GB in size).
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
