Search Results for author: Amir Jamaludin

Found 6 papers, 2 papers with code

Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging

no code implementations14 Jul 2021 Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman

This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject.

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

1 code implementation24 Jun 2021 Hanxi Sun, Jason Plawinski, Sajanth Subramaniam, Amir Jamaludin, Timor Kadir, Aimee Readie, Gregory Ligozio, David Ohlssen, Mark Baillie, Thibaud Coroller

An alternative to anonymization is sharing a synthetic dataset that bears a behaviour similar to the real data but preserves privacy.

A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI

no code implementations6 Jul 2020 Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman

We propose a novel convolutional method for the detection and identification of vertebrae in whole spine MRIs.

Image-to-Image Translation

The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction

no code implementations30 Jan 2020 Rhydian Windsor, Amir Jamaludin

In this paper we introduce the Ladder Algorithm; a novel recurrent algorithm to detect repetitive structures in natural images with high accuracy using little training data.

Self-Supervised Learning for Spinal MRIs

no code implementations1 Aug 2017 Amir Jamaludin, Timor Kadir, Andrew Zisserman

We show that the performance of the pre-trained CNN on the supervised classification task is (i) superior to that of a network trained from scratch; and (ii) requires far fewer annotated training samples to reach an equivalent performance to that of the network trained from scratch.

Classification General Classification +1

You said that?

1 code implementation8 May 2017 Joon Son Chung, Amir Jamaludin, Andrew Zisserman

To achieve this we propose an encoder-decoder CNN model that uses a joint embedding of the face and audio to generate synthesised talking face video frames.

Unconstrained Lip-synchronization

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