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08/01/2023
A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography
Contrast Enhanced Spectral Mammography (CESM) is a dual-energy mammograp...
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07/21/2023
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
One of the most challenging fields where Artificial Intelligence (AI) ca...
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07/21/2023
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space
Data Augmentation (DA) is a technique to increase the quantity and diver...
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06/17/2023
MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
The integration of renewable energy sources (RES) into modern power syst...
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04/11/2023
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT Denoising
The current deep learning approaches for low-dose CT denoising can be di...
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12/28/2022
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
We are witnessing a widespread adoption of artificial intelligence in he...
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04/26/2022
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
The current cancer treatment practice collects multimodal data, such as ...
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04/07/2022
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes
The COVID-19 pandemic has caused millions of cases and deaths and the AI...
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09/01/2021
An Empirical Study on the Joint Impact of Feature Selection and Data Resampling on Imbalance Classification
Real-world datasets often present different degrees of imbalanced (i.e.,...
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12/11/2020