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Burgos, Ninon
397  results:
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1

Unsupervised Anomaly Detection in 3D Brain FDG PET: A Bench..:

, In: Deep Generative Models; Lecture Notes in Computer Science,
Hassanaly, Ravi ; Brianceau, Camille ; Colliot, Olivier. - p. 110-120 , 2024
Link: https://doi.org/10.1007/..
 
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2

Contrast-enhanced to non-contrast-enhanced image translatio..:

Bottani, Simona ; Thibeau-Sutre, Elina ; Maire, Aurélien...
BMC Medical Imaging.  24 (2024)  1 - p. , 2024
Link: https://doi.org/10.1186/..
 
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3

Automatic motion artefact detection in brain T1-weighted ma..:

Loizillon, Sophie ; Bottani, Simona ; Maire, Aurélien...
Medical Image Analysis.  93 (2024)  - p. 103073 , 2024
Link: https://doi.org/10.1016/..
 
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4

Evaluation of MRI-based machine learning approaches for com..:

Bottani, Simona ; Burgos, Ninon ; Maire, Aurélien...
Medical Image Analysis.  89 (2023)  - p. 102903 , 2023
Link: https://doi.org/10.1016/..
 
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5

Semi-supervised Domain Adaptation for Automatic Quality Con..:

, In: Domain Adaptation and Representation Transfer; Lecture Notes in Computer Science,
Loizillon, Sophie ; Colliot, Olivier ; Chougar, Lydia... - p. 84-93 , 2023
Link: https://doi.org/10.1007/..
 
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6

Reproducibility in Machine Learning for Medical Imaging:

, In: Machine Learning for Brain Disorders; Neuromethods,
Colliot, Olivier ; Thibeau-Sutre, Elina ; Burgos, Ninon - p. 631-653 , 2023
Link: https://doi.org/10.1007/..
 
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7

Neuroimaging in Machine Learning for Brain Disorders:

, In: Machine Learning for Brain Disorders; Neuromethods,
Burgos, Ninon - p. 253-284 , 2023
Link: https://doi.org/10.1007/..
 
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8

Deep Learning: Basics and Convolutional Neural Networks (CN..:

, In: Machine Learning for Brain Disorders; Neuromethods,
Vakalopoulou, Maria ; Christodoulidis, Stergios ; Burgos, Ninon.. - p. 77-115 , 2023
Link: https://doi.org/10.1007/..
 
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9

Methodology dependent sex differences in Aβ‐PET measured wi..:

Coath, William ; Modat, Marc ; Cardoso, M Jorge...
Alzheimer's & Dementia.  19 (2023)  S3 - p. , 2023
Link: https://doi.org/10.1002/..
 
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10

Interpretability of Machine Learning Methods Applied to Neu..:

, In: Machine Learning for Brain Disorders; Neuromethods,
Thibeau-Sutre, Elina ; Collin, Sasha ; Burgos, Ninon. - p. 655-704 , 2023
Link: https://doi.org/10.1007/..
 
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11

Data Augmentation in High Dimensional Low Sample Size Setti..:

Chadebec, Clément ; Thibeau-Sutre, Elina ; Burgos, Ninon.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  45 (2023)  3 - p. 2879-2896 , 2023
Link: https://doi.org/10.1109/..
 
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12

Operationalizing the centiloid scale for [18F]florbetapir P..:

Coath, William ; Modat, Marc ; Cardoso, M. Jorge...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring.  15 (2023)  2 - p. , 2023
Link: https://doi.org/10.1002/..
 
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13

Introduction to medical and biomedical image synthesis:

, In: Biomedical Image Synthesis and Simulation,
Svoboda, David ; Burgos, Ninon - p. 1-3 , 2022
Link: https://doi.org/10.1016/..
 
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14

Validation and evaluation metrics for medical and biomedica..:

, In: Biomedical Image Synthesis and Simulation,
Nečasová, Tereza ; Burgos, Ninon ; Svoboda, David - p. 573-600 , 2022
Link: https://doi.org/10.1016/..
 
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15

Pilot study of repeated blood-brain barrier disruption in p..:

Epelbaum, Stéphane ; Burgos, Ninon ; Canney, Michael...
Alzheimer's Research & Therapy.  14 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
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