Amir Alansary

Institute of Group Analysis — United Kingdom

Medicine · Health Sciences

19h-index1.5kcitations56works0.02yr avg
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Research Topics

Fetal and Pediatric Neurological Disorders(27), Medical Image Segmentation Techniques(16), Advanced Neuroimaging Techniques and Applications(14), Domain Adaptation and Few-Shot Learning(13), Neonatal and fetal brain pathology(11)

Publications56 total

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs
IEEE Transactions on Medical Imaging·2022· 45 cited
The Developing Human Connectome Project Neonatal Data Release
Frontiers in Neuroscience·2022· 177 citedOpen Access
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI
arXiv (Cornell University)·2022· 3 citedOpen Access
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption
arXiv (Cornell University)·2022· 6 citedOpen Access
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs
arXiv (Cornell University)·2022· 1 citedOpen Access
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints
Lecture notes in computer science·2022· 7 cited
Benchmarking Geometric Deep Learning for Cortical Segmentation and Neurodevelopmental Phenotype Prediction
2021· 23 citedOpen Access
FedRAD: Federated Robust Adaptive Distillation
arXiv (Cornell University)·2021· 1 citedOpen Access
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction
arXiv (Cornell University)·2021· 2 citedOpen Access
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
arXiv (Cornell University)·2021· 1 citedOpen Access
Synthesis of Diabetic Retina Fundus Images Using Semantic Label Generation
2021· 1 cited
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI
Lecture notes in computer science·2021· 16 cited
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction
Lecture notes in computer science·2021· 23 cited
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare
arXiv (Cornell University)·2020· 28 citedOpen Access
Bayesian Sampling Bias Correction: Training with the Right Loss Function
arXiv (Cornell University)·2020Open Access
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
2020· 11 citedOpen Access
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images
Lecture notes in computer science·2020· 1 citedOpen Access
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface
Lecture notes in computer science·2020· 1 citedOpen Access
Flexible Conditional Image Generation of Missing Data with Learned\n Mental Maps
arXiv (Cornell University)·2019Open Access
Evaluating reinforcement learning agents for anatomical landmark detection
Medical Image Analysis·2019· 182 citedOpen Access
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Frequent Co-authors

Daniel Rueckert(35), Bernhard Kainz(29), Joseph V. Hajnal(19), Ben Glocker(15), Benjamin Hou(13), Mary Rutherford(13), Steven McDonagh(12), Alice Davidson(11), Ayman El‐Baz(10), Bishesh Khanal(9), Ahmed Soliman(9), Fahmi Khalifa(9), Konstantinos Kamnitsas(7), Jonathan Passerat‐Palmbach(7), Mahmoud Mostapha(7), Loïc Le Folgoc(6), Emma C. Robinson(6), Martin Rajchl(5), Antonios Makropoulos(5), Matthew Nitzken(5)