1 citations · 4 across the 10 of their papers we have counts for
10 papers
Deep Psychovisual Image Representations
Wendi Ma, Aryaman Sharma, Wei Dai +1
Psychovisual models suggest human vision decouples low-level feature extraction from higher cognition by first forming intermediate abstractions. In contrast, deep learning-based v…
Von Neumann Networks
Shekhar S. Chandra
In the mid-twentieth century, mathematician and polymath John von Neumann created a computational system on an array of cells as a simple model of the human brain, where each cell…
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI
Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
Traumatic Brain Injury (TBI) poses a significant global public health challenge, contributing to high morbidity and mortality rates and placing a substantial economic burden on hea…
Multi-scale MRI reconstruction via dilated ensemble networks
Wendi Ma, Marlon Bran Lorenzana, Wei Dai +2
As aliasing artefacts are highly structural and non-local, many MRI reconstruction networks use pooling to enlarge filter coverage and incorporate global context. However, this ina…
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT
Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
Mild Traumatic Brain Injury (mTBI) is a common and challenging condition to diagnose accurately. Timely and precise diagnosis is essential for effective treatment and improved pati…
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra
Popular methods in compressed sensing (CS) are dependent on deep learning (DL), where large amounts of data are used to train non-linear reconstruction models. However, ensuring ge…
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
Mild Traumatic Brain Injury (mTBI) is a significant public health challenge due to its high prevalence and potential for long-term health effects. Despite Computed Tomography (CT)…
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification
Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw +4
An ugly duckling is an obviously different skin lesion from surrounding lesions of an individual, and the ugly duckling sign is a criterion used to aid in the diagnosis of cutaneou…
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review
Fatima Al Zegair, Nathasha Naranpanawa, Brigid Betz-Stablein +3
Skin lesions known as naevi exhibit diverse characteristics such as size, shape, and colouration. The concept of an "Ugly Duckling Naevus" comes into play when monitoring for melan…
Fractal Compressive Sensing
Marlon Bran Lorenzana, Benjamin Cottier, Matthew Marques +2
This paper introduces a sparse projection matrix composed of discrete (digital) periodic lines that create a pseudo-random (p.frac) sampling scheme. Our approach enables random Car…