Search Results - "Namburete, Ana I.L."

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal by Dinsdale, Nicola K., Jenkinson, Mark, Namburete, Ana I.L.

“…•We demonstrate a flexible deep-learning-based harmonisation framework.•Applied to age prediction and segmentation tasks in a range of datasets.•Scanner…”
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Learning patterns of the ageing brain in MRI using deep convolutional networks by Dinsdale, Nicola K., Bluemke, Emma, Smith, Stephen M., Arya, Zobair, Vidaurre, Diego, Jenkinson, Mark, Namburete, Ana I.L.

“…•Brain age is estimated using a 3D CNN from 12,802 full T1-weighted images.•Regions used to drive predictions are different for linearly and nonlinearly…”
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Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning by Hesse, Linde S., Aliasi, Moska, Moser, Felipe, Haak, Monique C., Xie, Weidi, Jenkinson, Mark, Namburete, Ana I.L.

“…•Subcortical segmentation is performed in 3D fetal brain US with a 3D CNN.•High performance can be achieved using only nine manually annotated US…”
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BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography by Moser, Felipe, Huang, Ruobing, Papież, Bartłomiej W., Namburete, Ana I.L.

“…•Automated extraction and alignment of the fetal brain from 3D ultrasound scans.•Fast, age-independent, and consistent performance for both tasks.•Extremely…”
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Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images by Namburete, Ana I.L, Rana, Manku, Wakeling, James M

“…Abstract Muscle fascicles curve during contraction, and this has been seen using B-mode ultrasound. Curvature can vary along a fascicle, and amongst the…”
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Regional variations in fascicle curvatures within a muscle belly change during contraction by Namburete, Ana I.L, Wakeling, James M

“…Abstract During muscle contraction, the fascicles curve in response to changes in internal pressures within the muscle. Muscle modelling studies have predicted…”
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Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning by Namburete, Ana I.L., Xie, Weidi, Yaqub, Mohammad, Zisserman, Andrew, Noble, J. Alison

“…•We propose a FCN to automatically co-align 3D fetal neurosonography images.•The multi-task FCN predicts skull boundaries, eye location, and 3D brain…”
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Challenges for machine learning in clinical translation of big data imaging studies by Dinsdale, Nicola K., Bluemke, Emma, Sundaresan, Vaanathi, Jenkinson, Mark, Smith, Stephen M., Namburete, Ana I.L.

“…Combining deep learning image analysis methods and large-scale imaging datasets offers many opportunities to neuroscience imaging and epidemiology. However,…”
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STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation by Dinsdale, Nicola K., Jenkinson, Mark, Namburete, Ana I.L.

“…Acquisition of high quality manual annotations is vital for the development of segmentation algorithms. However, to create them we require a substantial amount…”
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Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis by Jiao, Jianbo, Namburete, Ana I. L., Papageorghiou, Aris T., Noble, J. Alison

“…Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for…”
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Anatomically plausible segmentations: Explicitly preserving topology through prior deformations by Wyburd, Madeleine K., Dinsdale, Nicola K., Jenkinson, Mark, Namburete, Ana I.L.

“…Since the rise of deep learning, new medical segmentation methods have rapidly been proposed with extremely promising results, often reporting marginal…”
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Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment by Vaze, Sagar, Xie, Weidi, Namburete, Ana I. L.

“…Convolutional Neural Networks (CNNs), which are currently state-of-the-art for most image analysis tasks, are ill suited to leveraging the key benefits of…”
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The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects by Balboni, Erica, Nocetti, Luca, Carbone, Chiara, Dinsdale, Nicola, Genovese, Maurilio, Guidi, Gabriele, Malagoli, Marcella, Chiari, Annalisa, Namburete, Ana I. L., Jenkinson, Mark, Zamboni, Giovanna

“…Research on segmentation of the hippocampus in magnetic resonance images through deep learning convolutional neural networks (CNNs) shows promising results,…”
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Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation by Yeung, Pak-Hei, Hesse, Linde S., Aliasi, Moska, Haak, Monique C., Xie, Weidi, Namburete, Ana I.L.

“…Three-dimensional (3D) ultrasound imaging has contributed to our understanding of fetal developmental processes by providing rich contextual information of the…”
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Learning to map 2D ultrasound images into 3D space with minimal human annotation by Yeung, Pak-Hei, Aliasi, Moska, Papageorghiou, Aris T., Haak, Monique, Xie, Weidi, Namburete, Ana I.L.

“…•We propose a CNN for predicting the 3D location of 2D fetal brain images.•The images tested can be acquired from standard or oblique planes.•Training of the…”
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Learning-based prediction of gestational age from ultrasound images of the fetal brain by Namburete, Ana I.L., Stebbing, Richard V., Kemp, Bryn, Yaqub, Mohammad, Papageorghiou, Aris T., Alison Noble, J.

“…[Display omitted] •We present a model to predict gestational age from 3D fetal brain ultrasound images.•A feature-based model characterizes spatial and…”
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Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years by Namburete, Ana I. L., Papież, Bartłomiej W., Fernandes, Michelle, Wyburd, Madeleine K., Hesse, Linde S., Moser, Felipe A., Ismail, Leila Cheikh, Gunier, Robert B., Squier, Waney, Ohuma, Eric O., Carvalho, Maria, Jaffer, Yasmin, Gravett, Michael, Wu, Qingqing, Lambert, Ann, Winsey, Adele, Restrepo-Méndez, María C., Bertino, Enrico, Purwar, Manorama, Barros, Fernando C., Stein, Alan, Noble, J. Alison, Molnár, Zoltán, Jenkinson, Mark, Bhutta, Zulfiqar A., Papageorghiou, Aris T., Villar, José, Kennedy, Stephen H.

“…Maturation of the human fetal brain should follow precisely scheduled structural growth and folding of the cerebral cortex for optimal postnatal function 1 …”
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Prototype Learning for Explainable Brain Age Prediction by Hesse, Linde S., Dinsdale, Nicola K., Namburete, Ana I.L.

“…The lack of explainability of deep learning models limits the adoption of such models in clinical practice. Prototype-based models can provide inherent…”
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The association between flow and oxygenation and cortical development in fetuses with congenital heart defects using a brain‐age prediction algorithm by Everwijn, Sheila M. P., Namburete, Ana I. L., Geloven, Nan, Jansen, Fenna A. R., Papageorghiou, Aris T., Teunissen, Aalbertine K., Rozendaal, Lieke, Blom, Nico, Lith, Jan M., Haak, Monique C.

“…Objectives Presumably, changes in fetal circulation contribute to the delay in maturation of the cortex in fetuses with congenital heart defect (CHD). The aim…”
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Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography by Stebbing, Richard V., Namburete, Ana I.L., Upton, Ross, Leeson, Paul, Noble, J. Alison

“…[Display omitted] •The right ventricle is segmented jointly across multiple echocardiography sequences.•Segmentation is constrained by a linear basis shape…”
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