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09/04/2023
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
The pandemic resulted in vast repositories of unstructured data, includi...
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09/04/2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
Solving image classification tasks given small training datasets remains...
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06/20/2023
Food Recognition and Nutritional Apps
Food recognition and nutritional apps are trending technologies that may...
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03/18/2020
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
Regular monitoring of nutrient intake in hospitalised patients plays a c...
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11/05/2019
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries
Direct computer vision based-nutrient content estimation is a demanding ...
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09/13/2018
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Image registration and in particular deformable registration methods are...
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06/27/2018
A Multi-Task Learning Approach for Meal Assessment
Key role in the prevention of diet-related chronic diseases plays the ba...
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03/16/2018
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
Early and accurate diagnosis of interstitial lung diseases (ILDs) is cru...
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01/12/2017
Two-view 3D Reconstruction for Food Volume Estimation
The increasing prevalence of diet-related chronic diseases coupled with ...
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12/08/2016