Amir Alansary

Octavio E. Martinez Manzanera

CoRR, 2021

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.

[BibT_eX]

[DOI]

CoRR, 2021

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare.

[BibT_eX]

[DOI]

Matei Grama

Maria Musat

Luis Muñoz-González

Octavio E. Martinez Manzanera

CoRR, 2020

Bayesian Sampling Bias Correction: Training with the Right Loss Function.

[BibT_eX]

[DOI]

CoRR, 2020

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.

[BibT_eX]

[DOI]

Ahmed E. Fetit

Lucilio Cordero-Grande

Vanessa Kyriakopoulou

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images.

[BibT_eX]

[DOI]

Guy Leroy

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Evaluating reinforcement learning agents for anatomical landmark detection.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Multiple Landmark Detection Using Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Athanasios Vlontzos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.

[BibT_eX]

[DOI]

Loïc Le Folgoc

Daniel Coelho de Castro

Jeremy Tan

Bishesh Khanal

Ian Walker

Ben Glocker

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Reconstruction, localisation, and segmentation in medical images.

[BibT_eX]

[DOI]

PhD thesis, 2018

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Ricardo Guerrero

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2017

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.

[BibT_eX]

[DOI]

CoRR, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.

[BibT_eX]

[DOI]

CoRR, 2017

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Mary A. Rutherford

Joseph V. Hajnal

Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2016

Learning under Distributed Weak Supervision.

[BibT_eX]

[DOI]

CoRR, 2016

High-Performance Motion Correction of Fetal MRI.

[BibT_eX]

[DOI]

David F. A. Lloyd

Maria Kuklisova-Murgasova

Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.

[BibT_eX]

[DOI]

Alice Davidson

Rostislav Khlebnikov

Martin Rajchl

Christina Malamateniou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2015

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.

[BibT_eX]

[DOI]