Sonia Dahdouh

17 papers B 4C 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Conformal Coronary Calcification Volume Estimation with Conditional Coverage via Histogram Clustering.
ISBI
Olivier Jaubert, Salman Mohammadi, Keith A. Goatman, Shadia Mikhael, Conor Bradley, Rebecca Hughes, Richard Good, John H. Hipwell, Sonia Dahdouh
2025 J jnl
Conformal coronary calcification volume estimation with conditional coverage via histogram clustering.
CoRR
Olivier Jaubert, Salman Mohammadi, Keith A. Goatman, Shadia Mikhael, Conor Bradley, Rebecca Hughes, Richard Good, John H. Hipwell, Sonia Dahdouh
2025 J jnl
Preventing Shortcut Learning in Medical Image Analysis through Intermediate Layer Knowledge Distillation from Specialist Teachers.
CoRR
Christopher Boland, Sotirios A. Tsaftaris, Sonia Dahdouh
2024 — conf
All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging.
FAIMI/EPIMI@MICCAI
Christopher Boland, Owen Anderson, Keith A. Goatman, John H. Hipwell, Sotirios A. Tsaftaris, Sonia Dahdouh
2024 — conf
There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis.
MIDL
Christopher Boland, Keith A. Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh
2023 B conf
Can a single image processing algorithm work equally well across all phases of DCE-MRI.
Image Processing
Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh
2023 J jnl
Can a single image processing algorithm work equally well across all phases of DCE-MRI?
CoRR
Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh
2023 — conf
Improving Style Transfer in Dynamic Contrast Enhanced MRI Using a Spatio-Temporal Approach.
SASHIMI@MICCAI
Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh
2023 J jnl
Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach.
CoRR
Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh
2018 J jnl
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities.
Medical Image Anal.
Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzi, Hélène Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch
2016 B conf
Unsupervised fetal cortical surface parcellation.
Image Processing
Sonia Dahdouh, Catherine Limperopoulos
2015 J jnl
Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors.
Medical Image Anal.
Sonia Dahdouh, Elsa D. Angelini, Gilles Grange, Isabelle Bloch
2015 B conf
Shape-based multi-region segmentation framework: application to 3D infants MRI data.
Image Processing
Sonia Dahdouh, Isabelle Bloch
2014 B conf
Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions.
ICIP
Denis H. P. Salvadeo, Isabelle Bloch, Florence Tupin, Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Charles-Alban Deledalle, Sonia Dahdouh
2013 — conf
Segmentation of fetal envelope from 3D ultrasound images based on pixel intensity statistical distribution and shape priors.
ISBI
Sonia Dahdouh, Antoine Serrurier, Gilles Grange, Elsa D. Angelini, Isabelle Bloch
2011 — —
Filtrage, segmentation et suivi d'images échographiques : applications cliniques. (Filtering, Segmentation and ultrasound images tracking. : clinical applications).
Sonia Dahdouh
2009 C conf
Difference of Gaussians Type Neural Image Filtering with Spiking Neurons.
IJCCI
Sylvain Chevallier, Sonia Dahdouh