Search Results

Beneficial Catastrophes: Leveraging Abiotic Constraints through Environment-Driven Evolutionary Selection

• Authors : Godin-Dubois, Kevin; Cussat-Blanc, Sylvain; Duthen, Yves

• Source: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) Computational Intelligence (SSCI), 2020 IEEE Symposium Series on. :94-101 Dec, 2020

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Immersive Analysis of 3D Multi-cellular In-Vitro and In-Silico Cell Cultures

• Authors : Knote, Andreas; Fischer, Sabine C.; Cussat-Blanc, Sylvain

• Source: 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Artificial Intelligence and Virtual Reality (AIVR), 2019 IEEE International Conference on. :82-827 Dec, 2019

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Learning the cell cycle with a game: Virtual experiments in cell biology

• Authors : Panzoli, David; Cussat-Blanc, Sylvain; Pascalie, Jonathan

• Source: 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) Virtual Worlds and Games for Serious Applications (VS-Games), 2017 9th International Conference on.

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Evolutionary design of explainable algorithms for biomedical image segmentation.

• Authors : Cortacero, Kévin; McKenzie, Brienne; Müller, Sabina

Subjects: DEEP learning; COMPUTER vision; HIGH resolution imaging

• Source: Nature Communications; 11/6/2023, Vol. 14 Issue 1, p1-18, 18p

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Explainable machine learning framework to predict personalized physiological aging.

• Authors : Bernard, David; Doumard, Emmanuel; Ader, Isabelle

Subjects: MACHINE learning; AGE; HEALTH & Nutrition Examination Survey

• Source: Aging Cell; Aug2023, Vol. 22 Issue 8, p1-18, 18p

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Machine Learning Analysis of the Anatomical Parameters of the Upper Airway Morphology: A Retrospective Study from Cone-Beam CT Examinations in a French Population.

• Authors : de Bataille, Caroline; Bernard, David; Dumoncel, Jean

Subjects: CONE beam computed tomography; FRENCH people; MACHINE learning

• Source: Journal of Clinical Medicine; Jan2023, Vol. 12 Issue 1, p84, 13p

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Doctors in Medical Data Sciences: A New Curriculum.

• Authors : Cussat-Blanc, Sylvain; Castets-Renard, Céline; Monsarrat, Paul

• Source: International Journal of Environmental Research & Public Health; Jan2023, Vol. 20 Issue 1, p675, 5p

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Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection.

• Authors : Reshma, Ismat Ara; Franchet, Camille; Gaspard, Margot

Subjects: TUMOR diagnosis; TUMOR classification; DEEP learning

• Source: Journal of Digital Imaging; Oct2022, Vol. 35 Issue 5, p1326-1349, 24p, 6 Color Photographs, 2 Diagrams, 7 Charts, 8 Graphs

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Artificial Gene Regulatory Networks—A Review.

• Authors : Cussat-Blanc, Sylvain¹; Harrington, Kyle²; Banzhaf, Wolfgang³

• Source: Artificial Life. Fall2019, Vol. 24 Issue 4, p296-328. 33p.

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Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.

• Authors : Galibourg, Antoine; Cussat-Blanc, Sylvain; Dumoncel, Jean

Subjects: MACHINE learning; PERMANENT dentition; ORTHODONTICS

• Source: International Journal of Legal Medicine; 2021, Vol. 135 Issue 2, p665-675, 11p

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