Articles publicats (D-ATC)

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Going Smaller: Attention-based models for automated melanoma diagnosis

Artículo open access ​

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Autonomous Underwater Vehicle Docking Under Realistic Assumptions Using Deep Reinforcement Learning

Artículo open access ​

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Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework

Sparus Docking Station: A current aware docking station system for a non-holonomic AUV

Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors

Enhancing reclaimed water distribution network resilience with cost-effective meshing

Generation of a network slicing dataset: The foundations for AI-based B5G resource management

Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm

Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar

RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis

RETRACTED: Nobel et al. Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis. Tomography 2024, 10, 105-132

MAM-E: Mammographic synthetic image generation with diffusion models

An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images

SegX-Net: A novel image segmentation approach for contrail detection using deep learning

Seamless integration of sewer system topology and tree location data: An algorithm to diagnose the potential impact of tree roots on pipes and propose rearrangement solutions

Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review

Artículo open access ​

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A convolutional vision transformer for semantic segmentation of side-scan sonar data

Calibration of a Structured Light Imaging System in Two-Layer Flat Refractive Geometry for Underwater Imaging †

Invoice Discounting Using Kelly Criterion by Automated Market Makers-like Implementations

Co-Design of Augmented Reality Games for Learning with Teachers: A Methodological Approach

Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data

Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry

Managed Surge Controller: A Docking Algorithm for a Non-Holonomic AUV (Sparus II) in the Presence of Ocean Currents for a Funnel-Shaped Docking Station

Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach