234 citations · 333 across the 11 of their papers we have counts for
5 papers · 1 filter
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee +6
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data pr…
AI slipping on tiles: data leakage in digital pathology
Nicole Bussola, Alessia Marcolini, Valerio Maggio +2
Reproducibility of AI models on biomedical data still stays as a major concern for their acceptance into the clinical practice. Initiatives for reproducibility in the development o…
A multiobjective deep learning approach for predictive classification in Neuroblastoma
Valerio Maggio, Marco Chierici, Giuseppe Jurman +1
Neuroblastoma is a strongly heterogeneous cancer with very diverse clinical courses that may vary from spontaneous regression to fatal progression; an accurate patient's risk estim…
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Giuseppe Jurman, Valerio Maggio, Diego Fioravanti +7
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept o…
Phylogenetic Convolutional Neural Networks in Metagenomics
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio +4
Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels…