Alex Gaudio

According to our database, Alex Gaudio authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Separation of the Aortic and Pulmonary Components of the Second Heart Sound via Alternating Optimization.

Francesco Renna, Alex Gaudio, Sandra da Silva Mattos, Mark D. Plumbley, Miguel Tavares Coimbra

IEEE Access, 2024

2023

Explainable Deep Machine Learning for Medical Image Analysis

Alex Gaudio

PhD thesis, 2023

<i>DeepFixCX</i>: Explainable privacy-preserving image compression for medical image analysis.

Alex Gaudio, Asim Smailagic, Christos Faloutsos, Shreshta Mohan, Elvin Johnson, Yuhao Liu, Pedro Costa, Aurélio Campilho

WIREs Data. Mining. Knowl. Discov., 2023

ExplainFix: Explainable spatially fixed deep networks.

Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho

WIREs Data. Mining. Knowl. Discov., 2023

Addressing Chest Radiograph Projection Bias in Deep Classification Models.

Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aurélio Campilho, Ana Maria Mendonça

Proceedings of the Medical Imaging with Deep Learning, 2023

ZEBRA: Explaining rare cases through outlying interpretable concepts.

Pedro Madeira, André V. Carreiro, Alex Gaudio, Luís Rosado, Filipe Soares, Asim Smailagic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cross-Domain Detection of Pulmonary Hypertension in Human and Porcine Heart Sounds.

Alex Gaudio, Noemi Giordano, Miguel Tavares Coimbra, Benedict Kjaergaard, Samuel E. Schmidt, Francesco Renna

Proceedings of the Computing in Cardiology, 2023

2022

A Massively-Parallel 3D Simulator for Soft and Hybrid Robots.

Joel Clay, Sofia Wyetzner, Alex Gaudio, Boxi Xia, Andrew Moshova, Jacob Austin, Max Segan, Hod Lipson

CoRR, 2022

Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy.

Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, Jaime S. Cardoso

IEEE Access, 2022

Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation.

Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension from Heart Sounds.

Alex Gaudio, Miguel T. Coimbra, Aurélio Campilho, Asim Smailagic, Samuel E. Schmidt, Francesco Renna

Proceedings of the Computing in Cardiology, 2022

HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection.

Elvin Johnson, Shreshta Mohan, Alex Gaudio, Asim Smailagic, Christos Faloutsos, Aurélio Campilho

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2020

O-MedAL: Online active deep learning for medical image analysis.

Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh

WIREs Data Mining Knowl. Discov., 2020

Enhancement of Retinal Fundus Images via Pixel Color Amplification.

Alex Gaudio, Asim Smailagic, Aurélio Campilho

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019

Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning.

Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.

Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019