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03/17/2023
Operating critical machine learning models in resource constrained regimes
The accelerated development of machine learning methods, primarily deep ...
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03/04/2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
The increasing energy consumption and carbon footprint of deep learning ...
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09/15/2021
Patch-based medical image segmentation using Quantum Tensor Networks
Tensor networks are efficient factorisations of high dimensional tensors...
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02/13/2021
Segmenting two-dimensional structures with strided tensor networks
Tensor networks provide an efficient approximation of operations involvi...
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11/13/2020
Multi-layered tensor networks for image classification
The recently introduced locally orderless tensor network (LoTeNet) for s...
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09/25/2020
Locally orderless tensor networks for classifying two- and three-dimensional medical images
Tensor networks are factorisations of high rank tensors into networks of...
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05/20/2020
Lung Segmentation from Chest X-rays using Variational Data Imputation
Pulmonary opacification is the inflammation in the lungs caused by many ...
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04/29/2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizin...
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04/21/2020
Tensor Networks for Medical Image Classification
With the increasing adoption of machine learning tools like neural netwo...
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12/22/2017