no code implementations • 2 Jan 2024 • Ammar A. Siddiqui, Santosh Tirunagari, Tehseen Zia, David Windridge
Visual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine vision pipelines (which are less straightforwardly interpretable/explainable to clinicians).
no code implementations • 22 Dec 2022 • Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, David Windridge
A key issue is how to address the inherent non-linearity of classical deep learning, a problem in the quantum domain due to the fact that the composition of an arbitrary number of quantum gates, consisting of a series of sequential unitary transformations, is intrinsically linear.
no code implementations • 10 May 2021 • Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahid Shah-Mansouri, David Windridge
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data through deep generative modeling.
1 code implementation • 5 May 2021 • Mohammad Nabati, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge
Various solutions have been proposed in the literature to reduce this cost, such as crowdsourced data collection, or the use of semi-supervised algorithms.
no code implementations • 23 Apr 2020 • Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge
Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities.
no code implementations • 26 May 2019 • Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge
To address this issue, we present Dynamic Mode Decomposition (DMD) coupled with thresholding and blob analysis as a framework for automatic delineation of the kidney region.
no code implementations • 24 May 2019 • Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge
Traditionally, human experts are required to manually delineate the kidney ROI across multiple images in the dynamic sequence.
no code implementations • 22 Jul 2016 • Santosh Tirunagari, Norman Poh, Miroslaw Bober, David Windridge
A background model describes a scene without any foreground objects and has a number of applications, ranging from video surveillance to computational photography.
no code implementations • ICCV 2015 • Mark Brown, David Windridge, Jean-yves Guillemaut
We present a novel approach to 2D-3D registration from points or lines without correspondences.
no code implementations • 21 Mar 2015 • Santosh Tirunagari, Norman Poh, Guosheng Hu, David Windridge
Diabetes is considered a lifestyle disease and a well managed self-care plays an important role in the treatment.
no code implementations • 9 Mar 2015 • David Windridge
Online learning is a familiar problem setting within Machine-Learning in which data is presented serially in time to a learning agent, requiring it to progressively adapt within the constraints of the learning algorithm.