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Linde S. Hesse
Linde S. Hesse
在 eng.ox.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
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Intensity augmentation to improve generalizability of breast segmentation across different MRI scan protocols
LS Hesse, G Kuling, M Veta, AL Martel
IEEE Transactions on Biomedical Engineering 68 (3), 759-770, 2020
30*2020
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation
PH Yeung, LS Hesse, M Aliasi, MC Haak, W Xie, AIL Namburete, ...
Medical Image Analysis 94, 103147, 2024
27*2024
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
LS Hesse, M Aliasi, F Moser, MC Haak, W Xie, M Jenkinson, ...
NeuroImage 254, 119117, 2022
262022
Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
AIL Namburete, BW Papież, M Fernandes, MK Wyburd, LS Hesse, ...
Nature 623 (7985), 106-114, 2023
152023
Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound
MK Wyburd, LS Hesse, M Aliasi, M Jenkinson, AT Papageorghiou, ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021
152021
Improving U-Net segmentation with active contour based label correction
LS Hesse, AIL Namburete
Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020 …, 2020
122020
INSightR-Net: interpretable neural network for regression using similarity-based comparisons to prototypical examples
LS Hesse, AIL Namburete
International Conference on Medical Image Computing and Computer-Assisted …, 2022
112022
Prototype learning for explainable brain age prediction
LS Hesse, NK Dinsdale, AIL Namburete
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
7*2024
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
LS Hesse, PA de Jong, JPW Pluim, V Cheplygina
arXiv preprint arXiv:2006.16633, 2020
42020
Quantification of fetal brain development from ultrasound images using interpretable deep learning
LS Hesse
University of Oxford, 2023
2023
OP08. 03: Success rate of the subcortical 3D fetal brain segmentation using deep learning algorithms.
M Aliasi, L Hesse, MK Wyburd, M Snoep, A Namburete, MC Haak
Ultrasound in Obstetrics & Gynecology 60, 2022
2022
OC11. 07: Automated grading of fetal cortical development using deep learning algorithms: a preliminary three‐dimensional ultrasound study in healthy fetuses.
MK Wyburd, L Hesse, M Aliasi, F Moser, MC Haak, AT Papageorghiou, ...
Ultrasound in Obstetrics & Gynecology 58, 2021
2021
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