Pierre Baudot
8 papers 60 citations h-index 2 2019–2026
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis
Pathologies systematically induce morphological changes, thus providing a major but yet insufficiently quantified source of observables for diagnosis. The study develops a predictive model of the...
Topological Information Data Analysis
This paper presents methods that quantify the structure of statistical interactions within a given data set, and was first used in \cite{Tapia2018}. It establishes new results on the...
Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem
In information theory, one major goal is to find useful functions that summarize the amount of information contained in the interaction of several random variables. Specifically, one can ask how...
On Information Links
In a joint work with D. Bennequin, we suggested that the (negative) minima of the 3-way multivariate mutual information correspond to Borromean links, paving the way for providing probabilistic...
Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening
Foundation models have recently demonstrated strong capabilities across a wide range of medical imaging tasks. However, their performance in structured clinical interpretation settings remains...
3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis
Beyond Size and Growth: Rethinking Lung Cancer Screening with AI Based Nodule Detection and Diagnosis
Early detection of malignant lung nodules remains constrained by size and growth based screening criteria, often delaying diagnosis. We present an integrated AI system that jointly performs nodule...
On Information (pseudo) Metric
This short note revisit information metric, underlining that it is a pseudo metric on manifolds of observables (random variables), rather than as usual on probability laws. Geodesics are...