Benoît Macq — accepted AI-conference papers

2026

CONDITIONAL RANDOM FIELDS FOR INTERACTIVE REFINEMENT OF HISTOPATHOLOGICAL PREDICTIONS

Tiffanie Godelaine, Saïd Mahmoudi, Benoît Macq

ICASSP 2026poster

Assisting pathologists in the analysis of histopathological images has high clinical value, as it supports cancer detection and staging. In this context, histology foundation models have recently emerged. Among them, Vision-Language Models (VLMs) provide strong yet imperfect zero-shot predictions. W…

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2018

Water Equivalent Thickness Estimation Via Sparse Deconvolution of Proton Radiography Data

Sylvain Deffet, Benoît Macq, Francois Vander Stappen, Paolo Farace

ICASSP 2018accepted

Proton radiography using a multilayer ionization chamber can potentially be used for assessing the quality of the stopping power computation in proton therapy. However, the finite proton beam profile leads to a degradation of the depth-dose curves (`blurring') measured by the range probe, which make…

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