Amir Alansary | DeepAI

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∙ 02/27/2022

Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption

This work presents a novel protocol for fast secure inference of neural ...

0 George-Liviu Pereteanu, et al. ∙

∙ 12/02/2021

FedRAD: Federated Robust Adaptive Distillation

The robustness of federated learning (FL) is vital for the distributed t...

0 Stefán Páll Sturluson, et al. ∙

∙ 07/31/2021

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

Datasets are rarely a realistic approximation of the target population. ...

0 Loic Le Folgoc, et al. ∙

∙ 09/17/2020

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare

Federated learning (FL) has enabled training models collaboratively from...

0 Matei Grama, et al. ∙

∙ 08/18/2020

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images

Accurate detection of anatomical landmarks is an essential step in sever...

13 Guy Leroy, et al. ∙

∙ 08/13/2020

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

Accurate estimation of the age in neonates is essential for measuring ne...

8 Vitalis Vosylius, et al. ∙

∙ 08/29/2019

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps

Real-world settings often do not allow acquisition of high-resolution vo...

13 Benjamin Hou, et al. ∙

∙ 06/30/2019

Multiple Landmark Detection using Multi-Agent Reinforcement Learning

The detection of anatomical landmarks is a vital step for medical image ...

3 Athanasios Vlontzos, et al. ∙

∙ 03/06/2019

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

We investigate discrete spin transformations, a geometric framework to m...

0 Loic Le Folgoc, et al. ∙

∙ 06/19/2018

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

Standard scan plane detection in fetal brain ultrasound (US) forms a cru...

16 Yuanwei Li, et al. ∙

∙ 06/18/2018

Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

We propose a new Patch-based Iterative Network (PIN) for fast and accura...

8 Yuanwei Li, et al. ∙

∙ 06/08/2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

We propose a fully automatic method to find standardized view planes in ...

10 Amir Alansary, et al. ∙

∙ 05/02/2018

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

Pose estimation, i.e. predicting a 3D rigid transformation with respect ...

22 Benjamin Hou, et al. ∙

∙ 09/19/2017

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

Limited capture range and the requirement to provide high quality initia...

0 Benjamin Hou, et al. ∙

∙ 02/28/2017

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

3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...

0 Steven McDonagh, et al. ∙

∙ 02/28/2017

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

This paper aims to solve a fundamental problem in intensity-based 2D/3D ...

0 Benjamin Hou, et al. ∙

∙ 11/22/2016

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

In this paper we present a novel method for the correction of motion art...

0 Amir Alansary, et al. ∙

∙ 06/03/2016

Learning under Distributed Weak Supervision

The availability of training data for supervision is a frequently encoun...

0 Martin Rajchl, et al. ∙

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