1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis
Elias Munoz, Pierre Baudot, Van-Khoa Le +9
Pathologies systematically induce morphological changes, thus providing a major but yet insufficiently quantified source of observables for diagnosis. The study develops a predicti…
eess.IV2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have intr…
math.AP2016
Optimal parameters identification and sensitivity study for Abrasive Waterjet Milling model
Didier Auroux, Vladimir Groza
In this paper we present the work related to the parameters identification for Abrasive Waterjet Milling (AWJM) model that appears as an ill-posed inverse problem. The necessity of…