741 citations · 1.5k across the 21 of their papers we have counts for
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Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience -- an initial exploration
Daniel C. Elton
Artificial intelligence has made great strides since the deep learning revolution, but AI systems still struggle to extrapolate outside of their training data and adapt to new situ…
Pathological Water Science -- Four Examples and What They Have in Common
Daniel C. Elton, Peter D. Spencer
Pathological science occurs when well-intentioned scientists spend extended time and resources studying a phenomena that isn't real. Researchers who get caught up in pathological s…
Deep Small Bowel Segmentation with Cylindrical Topological Constraints
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton +2
We present a novel method for small bowel segmentation where a cylindrical topological constraint based on persistent homology is applied. To address the touching issue which could…
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
Yingying Zhu, Youbao Tang, Yuxing Tang +4
Current deep learning based segmentation models often generalize poorly between domains due to insufficient training data. In real-world clinical applications, cross-domain image a…
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection
Yingying Zhu, Daniel C. Elton, Sungwon Lee +2
Calcified plaque in the aorta and pelvic arteries is associated with coronary artery calcification and is a strong predictor of heart attack. Current calcified plaque detection mod…
Self-explaining AI as an alternative to interpretable AI
Daniel C. Elton
The ability to explain decisions made by AI systems is highly sought after, especially in domains where human lives are at stake such as medicine or autonomous vehicles. While it i…