8 citations · 8 across the 3 of their papers we have counts for
3 papers
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
Farhad Maleki, Katie Ovens, Rajiv Gupta +3
Purpose: Despite the potential of machine learning models, the lack of generalizability has hindered their widespread adoption in clinical practice. We investigate three methodolog…
Spectral image clustering on dual-energy CT scans using functional regression mixtures
Segolene Brivet, Faicel Chamroukhi, Mark Coates +2
Dual-energy computed tomography (DECT) is an advanced CT scanning technique enabling material characterization not possible with conventional CT scans. It allows the reconstruction…
Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? -- A Case Study using Dual Energy CT Data
Andreas Maier, Seung Hee Yang, Farhad Maleki +2
In the domain of medical image processing, medical device manufacturers protect their intellectual property in many cases by shipping only compiled software, i.e. binary code which…