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Namburete, Ana I.L.
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1

Prototype Learning for Explainable Brain Age Prediction:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Hesse, Linde S. ; Dinsdale, Nicola K. ; Namburete, Ana I.L. - p. 7888-7898 , 2024
Link: https://doi.org/10.1109/..
 
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2

Anatomically plausible segmentations: Explicitly preserving..:

Wyburd, Madeleine K. ; Dinsdale, Nicola K. ; Jenkinson, Mark.
Medical Image Analysis.  97 (2024)  - p. 103222 , 2024
Link: https://doi.org/10.1016/..
 
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3

Sensorless volumetric reconstruction of fetal brain freehan..:

Yeung, Pak-Hei ; Hesse, Linde S. ; Aliasi, Moska...
Medical Image Analysis.  94 (2024)  - p. 103147 , 2024
Link: https://doi.org/10.1016/..
 
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4

The impact of projected increases in obesity prevalence on ..:

, In: Proceedings of the 2023 7th International Conference on Medical and Health Informatics,
Waddell, Tom Henry ; Namburete, Ana I.L ; Duckworth, Paul... - p. 44-48 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Brain Ages Derived from Different MRI Modalities are Associ..:

, In: 2023 10th IEEE Swiss Conference on Data Science (SDS),
Roibu, Andrei-Claudiu ; Adaszewski, Stanislaw ; Schindler, Torsten... - p. 17-25 , 2023
Link: https://doi.org/10.1109/..
 
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6

Normative spatiotemporal fetal brain maturation with satisf..:

Namburete, Ana I. L. ; Papież, Bartłomiej W. ; Fernandes, Michelle...
Nature.  623 (2023)  7985 - p. 106-114 , 2023
Link: https://doi.org/10.1038/..
 
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7

The impact of transfer learning on 3D deep learning convolu..:

Balboni, Erica ; Nocetti, Luca ; Carbone, Chiara...
Human Brain Mapping.  43 (2022)  11 - p. 3427-3438 , 2022
Link: https://doi.org/10.1002/..
 
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8

STAMP: Simultaneous Training and Model Pruning for low data..:

Dinsdale, Nicola K. ; Jenkinson, Mark ; Namburete, Ana I.L.
Medical Image Analysis.  81 (2022)  - p. 102583 , 2022
Link: https://doi.org/10.1016/..
 
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9

BEAN: Brain Extraction and Alignment Network for 3D Fetal N..:

Moser, Felipe ; Huang, Ruobing ; Papież, Bartłomiej W..
NeuroImage.  258 (2022)  - p. 119341 , 2022
Link: https://doi.org/10.1016/..
 
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10

FedHarmony: Unlearning Scanner Bias with Distributed Data:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,
Dinsdale, Nicola K. ; Jenkinson, Mark ; Namburete, Ana I. L. - p. 695-704 , 2022
Link: https://doi.org/10.1007/..
 
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11

Subcortical segmentation of the fetal brain in 3D ultrasoun..:

Hesse, Linde S. ; Aliasi, Moska ; Moser, Felipe...
NeuroImage.  254 (2022)  - p. 119117 , 2022
Link: https://doi.org/10.1016/..
 
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12

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Im..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,
Yeung, Pak-Hei ; Aliasi, Moska ; Haak, Monique... - p. 207-217 , 2022
Link: https://doi.org/10.1007/..
 
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13

Challenges for machine learning in clinical translation of ..:

Dinsdale, Nicola K. ; Bluemke, Emma ; Sundaresan, Vaanathi...
Neuron.  110 (2022)  23 - p. 3866-3881 , 2022
Link: https://doi.org/10.1016/..
 
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14

INSightR-Net: Interpretable Neural Network for Regression U..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,
Hesse, Linde S. ; Namburete, Ana I. L. - p. 502-511 , 2022
Link: https://doi.org/10.1007/..
 
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15

TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,
Wyburd, Madeleine K. ; Dinsdale, Nicola K. ; Namburete, Ana I. L.. - p. 250-260 , 2021
Link: https://doi.org/10.1007/..
 
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