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09/12/2023
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation
We present a semi-supervised domain adaptation framework for brain vesse...
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06/23/2023
Binary domain generalization for sparsifying binary neural networks
Binary neural networks (BNNs) are an attractive solution for developing ...
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04/16/2023
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
We propose the first joint-task learning framework for brain and vessel ...
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11/10/2022
Fairness and bias correction in machine learning for depression prediction: results from four different study populations
A significant level of stigma and inequality exists in mental healthcare...
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07/11/2022
Sparsifying Binary Networks
Binary neural networks (BNNs) have demonstrated their ability to solve c...
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04/04/2022
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
Anomaly detection in time series is a complex task that has been widely ...
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02/07/2022
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics
While Artificial Intelligence (AI) technologies are being progressively ...
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01/22/2022
Exploring auditory acoustic features for the diagnosis of the Covid-19
The current outbreak of a coronavirus, has quickly escalated to become a...
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09/21/2021
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
In Multi-Task Learning (MTL), it is a common practice to train multi-tas...
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06/07/2021
PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge
The COVID-19 pandemic has led to the saturation of public health service...
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04/12/2021
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation
Deep learning methods have reached state-of-the-art performance in cardi...
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04/09/2021
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring
A limiting factor towards the wide routine use of wearables devices for ...
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01/22/2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
The use of deep learning techniques for 3D brain vessel image segmentati...
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06/17/2020
Maximum Roaming Multi-Task Learning
Multi-task learning has gained popularity due to the advantages it provi...
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03/16/2020
Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting
Accurate travel products price forecasting is a highly desired feature t...
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02/20/2020
Multi-objective Consensus Clustering Framework for Flight Search Recommendation
In the travel industry, online customers book their travel itinerary acc...
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10/29/2019
Towards Quantifying Neurovascular Resilience
Whilst grading neurovascular abnormalities is critical for prompt surgic...
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01/08/2019
Grey matter sublayer thickness estimation in themouse cerebellum
The cerebellar grey matter morphology is an important feature to study n...
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09/14/2018
Elastic Registration of Geodesic Vascular Graphs
Vascular graphs can embed a number of high-level features, from morpholo...
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06/08/2018
VTrails: Inferring Vessels with Geodesic Connectivity Trees
The analysis of vessel morphology and connectivity has an impact on a nu...
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10/11/2017
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Convolutional neural networks (CNNs) have achieved state-of-the-art perf...
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07/03/2017
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Accurate medical image segmentation is essential for diagnosis, surgical...
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02/18/2016