Machine Learning for Medical Imaging
Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline
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What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Random Forests | 2001 | 131,109 |
| Dropout: a simple way to prevent neural networks from overfitting | 2014 | 34,236 |
| Multilayer feedforward networks are universal approximators | 1989 | 21,633 |
| Bagging predictors | 1996 | 16,468 |
| Induction of decision trees | 1986 | 12,427 |
| FCM: The fuzzy c-means clustering algorithm | 1984 | 6,661 |
| Hierarchical Clustering Schemes | 1967 | 4,940 |
| Genetic K-means algorithm | 1999 | 1,736 |
| Machine learning for medical diagnosis: history, state of the art and perspective | 2001 | 1,691 |
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| AI in cancer detection | Computer Science |
| Radiomics and Machine Learning in Medical Imaging | Medicine |
| COVID-19 diagnosis using AI | Medicine |
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