G
Gregory Maclair
Researcher at University of Bordeaux
Publications - 19
Citations - 434
Gregory Maclair is an academic researcher from University of Bordeaux. The author has contributed to research in topics: Computer science & Motion estimation. The author has an hindex of 9, co-authored 18 publications receiving 347 citations. Previous affiliations of Gregory Maclair include Centre national de la recherche scientifique.
Papers
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Journal ArticleDOI
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.
Karen López-Linares,Nerea Aranjuelo,Luis Kabongo,Gregory Maclair,Nerea Lete,Mario Ceresa,Ainhoa García-Familiar,Iván Macía,Miguel Ángel González Ballester +8 more
TL;DR: A new fully automatic approach based on Deep Convolutional Neural Networks (DCNN) for robust and reproducibleThrombus region of interest detection and subsequent fine thrombus segmentation and a new segmentation network architecture, based on Fully convolutional Networks and a Holistically‐Nested Edge Detection Network, is presented.
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Real-time volumetric MRI thermometry of focused ultrasound ablation in vivo: a feasibility study in pig liver and kidney.
Bruno Quesson,Christophe Laurent,Gregory Maclair,Baudouin Denis de Senneville,Charles Mougenot,Mario Ries,Thibault Carteret,Anne Rullier,Chrit T. W. Moonen +8 more
TL;DR: Therapy guidance by motion‐compensated, rapid and volumetric MR temperature monitoring and the feasibility of MR‐guided HIFU ablation in kidney and liver organs were demonstrated and thermal ablation was more difficult to achieve in renal than in hepatic tissue even using higher acoustic energy.
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Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
Andrik Rampun,Andrik Rampun,Karen López-Linares,Philip Morrow,Bryan Scotney,Hui Wang,Inmaculada Garcia Ocaña,Gregory Maclair,Reyer Zwiggelaar,Miguel Ángel González Ballester,Iván Macía +10 more
TL;DR: This paper proposes a neural network framework that incorporates multi-scale and multi-level learning, capable of learning complex hierarchical features to resolve spatial ambiguity in estimating the pectoral muscle boundary, modified by the Holistically-nested Edge Detection network.
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MR-Guided Thermotherapy of Abdominal Organs Using a Robust PCA-Based Motion Descriptor
TL;DR: An optimized principal component analysis (PCA)-based motion descriptor was used to characterize in real-time the complex organ deformation during the therapy, enabling improvements in motion estimation robustness, the compensation of motion related errors in thermal maps, and the adjustment of the beam position.
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Online correction of respiratory-induced field disturbances for continuous MR-thermometry in the breast.
S. Hey,Gregory Maclair,B. D. de Senneville,Matthieu Lepetit-Coiffé,Yasmina Berber,Max O. Köhler,Bruno Quesson,Chrit T. W. Moonen,Mario Ries +8 more
TL;DR: The ability to remove phase artefacts during MR‐thermometry of the human breast was demonstrated experimentally in five healthy volunteers during 3 min of free‐breathing using pencil‐beam navigators for respiratory control.