Segmentation of lung region based on using parallel implementation of joint MGRF: Validation on 3D realistic lung phantoms. - Ahmed Soliman 001; Fahmi Khalifa; Amir Alansary; Georgy L. Gimel'farb; Ayman El-Baz (ISBI, 2013)

An integrated geometrical and stochastic approach for accurate infant brain extraction. - Amir Alansary; Ahmed Soliman 001; Matthew Nitzken; Fahmi Khalifa; Ahmed Elnakib; Mahmoud Mostapha; Manuel F. Casanova; Ayman El-Baz (ICIP, 2014)

A statistical framework for the classification of infant DT images. - Mahmoud Mostapha; Ahmed Soliman 001; Fahmi Khalifa; Ahmed Elnakib; Amir Alansary; Matthew Nitzken; Manuel F. Casanova; Ayman El-Baz (ICIP, 2014)

Atlas-based approach for the segmentation of infant DTI MR brain images. - Mahmoud Mostapha; Amir Alansary; Ahmed Soliman 001; Fahmi Khalifa; Matthew Nitzken; Rasha Khodeir; Manuel F. Casanova; Ayman El-Baz (ISBI, 2014)

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. - Amir Alansary; Matthew C. H. Lee; Kevin Keraudren; Bernhard Kainz; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert (MLMMI@ICML, 2015)

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images. - Bernhard Kainz; Amir Alansary; Christina Malamateniou; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2015)

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. - Adriënne M. Mendrik; Koen L. Vincken; Hugo J. Kuijf; Marcel Breeuwer; Willem H. Bouvy; Jeroen de Bresser; Amir Alansary; Marleen de Bruijne; Aaron Carass; Ayman El-Baz; Amod Jog; Ranveer Katyal; et al. (Comput. Intell. Neurosci., 2015)

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. - Amir Alansary; Konstantinos Kamnitsas; Alice Davidson; Rostislav Khlebnikov; Martin Rajchl; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert; Bernhard Kainz (MICCAI (2), 2016)

High-Performance Motion Correction of Fetal MRI. - Bernhard Kainz; David F. A. Lloyd; Amir Alansary; Maria Kuklisova-Murgasova; Rostislav Khlebnikov; Daniel Rueckert; Mary A. Rutherford; Reza Razavi; Joseph V. Hajnal (EuroRV³@EuroVis, 2016)

Learning under Distributed Weak Supervision. - Martin Rajchl; Matthew C. H. Lee; Franklin Schrans; Alice Davidson; Jonathan Passerat-Palmbach; Giacomo Tarroni; Amir Alansary; Ozan Oktay; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models. - Amir Alansary; Marwa Ismail; Ahmed Soliman 001; Fahmi Khalifa; Matthew Nitzken; Ahmed Elnakib; Mahmoud Mostapha; Austin Black; Katie Stinebruner; Manuel F. Casanova; Jacek M. Zurada; Ayman El-Baz (IEEE J. Biomed. Health Informatics, 2016)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (2), 2017)

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. - Steven McDonagh 001; Benjamin Hou; Amir Alansary; Ozan Oktay; Konstantinos Kamnitsas; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven G. McDonagh 001; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven G. McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. - Amir Alansary; Martin Rajchl; Steven G. McDonagh 001; Maria Murgasova; Mellisa Damodaram; David F. A. Lloyd; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2017)

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus. - Haichao Miao; Gabriel Mistelbauer; Alexey Karimov; Amir Alansary; Alice Davidson; David F. A. Lloyd; Mellisa Damodaram; Lisa Story; Jana Hutter; Joseph V. Hajnal; Mary A. Rutherford; Bernhard Preim; et al. (IEEE Trans. Vis. Comput. Graph., 2017)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven McDonagh 001; Ben Glocker; et al. (MICCAI (1), 2018)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven McDonagh 001; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (1), 2018)

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. - Yuanwei Li; Amir Alansary; Juan J. Cerrolaza; Bishesh Khanal; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. - Yuanwei Li; Bishesh Khanal; Benjamin Hou; Amir Alansary; Juan J. Cerrolaza; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (IEEE Trans. Medical Imaging, 2018)

Reconstruction, localisation, and segmentation in medical images. - Amir Alansary (2018)

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. - Loïc Le Folgoc; Daniel Coelho de Castro; Jeremy Tan; Bishesh Khanal; Konstantinos Kamnitsas; Ian Walker; Amir Alansary; Ben Glocker (IPMI, 2019)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (MLMIR@MICCAI, 2019)

Multiple Landmark Detection Using Multi-agent Reinforcement Learning. - Athanasios Vlontzos; Amir Alansary; Konstantinos Kamnitsas; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2019)

Evaluating reinforcement learning agents for anatomical landmark detection. - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images. - Guy Leroy; Daniel Rueckert; Amir Alansary (MLCN/RNO-AI@MICCAI, 2020)

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface. - Vitalis Vosylius; Andy Wang; Cemlyn Waters; Alexey Zakharov; Francis Ward; Loïc Le Folgoc; John Cupitt; Antonios Makropoulos; Andreas Schuh; Daniel Rueckert; Amir Alansary (UNSURE/GRAIL@MICCAI, 2020)

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. - Ahmed E. Fetit; Amir Alansary; Lucilio Cordero-Grande; John Cupitt; Alice B. Davidson; A. David Edwards; Joseph V. Hajnal; Emer J. Hughes; Konstantinos Kamnitsas; Vanessa Kyriakopoulou; Antonios Makropoulos; Prachi A. Patkee; et al. (MIDL, 2020)

Bayesian Sampling Bias Correction: Training with the Right Loss Function. - Loïc Le Folgoc; Vasileios Baltatzis; Amir Alansary; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Fahdi Kanavati; Arjun Nair; Julia A. Schnabel; Ben Glocker (CoRR, 2020)

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. - Matei Grama; Maria Musat; Luis Muñoz-González; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2020)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (UNSURE/PIPPI@MICCAI, 2021)

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. - Qiang Ma 004; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (MLCN@MICCAI, 2021)

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. - Loïc Le Folgoc; Vasileios Baltatzis; Amir Alansary; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Fahdi Kanavati; Arjun Nair; Julia A. Schnabel; Ben Glocker (CoRR, 2021)

FedRAD: Federated Robust Adaptive Distillation. - Stefán Páll Sturluson; Samuel Trew; Luis Muñoz-González; Matei Grama; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2021)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption. - George-Liviu Pereteanu; Amir Alansary; Jonathan Passerat-Palmbach (CoRR, 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)