Search Results for author: David Hawkes

Found 6 papers, 2 papers with code

Pre-Quantized Deep Learning Models Codified in ONNX to Enable Hardware/Software Co-Design

no code implementations4 Oct 2021 Ulf Hanebutte, Andrew Baldwin, Senad Durakovic, Igor Filipovich, Chien-Chun, Chou, Damian Adamowicz, Derek Chickles, David Hawkes

This paper presents a methodology to separate the quantization process from the hardware-specific model compilation stage via a pre-quantized deep learning model description in standard ONNX format.

Quantization

A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography

no code implementations6 Feb 2018 Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sebastien Ourselin, David Hawkes, Tom Vercauteren

We propose a spatial compounding technique and variational framework to improve 3D ultrasound image quality by compositing multiple ultrasound volumes acquired from different probe orientations.

A comparative study of breast surface reconstruction for aesthetic outcome assessment

no code implementations20 Jun 2017 Rene Lacher, Francisco Vasconcelos, David Bishop, Norman Williams, Mohammed Keshtgar, David Hawkes, John Hipwell, Danail Stoyanov

Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives.

3D Reconstruction Surface Reconstruction

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