Výsledky vyhledávání - "Lidia Garrucho"

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Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Autor: Kushibar, Kaisar, Campello, Víctor Manuel, Moras, Lidia Garrucho, Linardos, Akis, Radeva, Petia, Lekadir, Karim

Uncertainty estimation in deep learning has become a leading research field in medical image analysis due to the need for safe utilisation of AI algorithms in clinical practice. Most approaches for uncertainty estimation require sampling the network

Externí odkaz: http://arxiv.org/abs/2203.08878

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Akademický článek

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

Autor: Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Diaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir

Publikováno v: Frontiers in Oncology, Vol 12 (2023)

Computer-aided detection systems based on deep learning have shown good performance in breast cancer detection. However, high-density breasts show poorer detection performance since dense tissues can mask or even simulate masses. Therefore, the sensi

Externí odkaz: https://doaj.org/article/cd7cf61eba174b9aafd1a4d0cd05c641

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medigan: a Python library of pretrained generative models for medical image synthesis

Autor: Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir

Publikováno v: Journal of Medical Imaging. 10

Synthetic data generated by generative models can enhance the performance and capabilities of data-hungry deep learning models in medical imaging. However, there is (1) limited availability of (synthetic) datasets and (2) generative models are comple

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06df34408eca7f054ebe697a364a8afe
https://doi.org/10.1117/1.jmi.10.6.061403

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Data synthesis and adversarial networks

Autor: Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir

Publikováno v: Medical Image Analysis. 84

Despite technological and medical advances, the detection, interpretation, and treatment of cancer based on imaging data continue to pose significant challenges. These include inter-observer variability, class imbalance, dataset shifts, inter- and in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53b8c365717a76d782745d9887c106dd
https://doi.org/10.1016/j.media.2022.102704

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Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Autor: Kaisar Kushibar, Victor Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031164514

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bed4cf9d95a1528368087af4c40b9d08
https://doi.org/10.1007/978-3-031-16452-1_49

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Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study

Autor: Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Diaz, Laura Igual, Karim Lekadir

Publikováno v: Artificial Intelligence in Medicine. 132:102386

Computer-aided detection systems based on deep learning have shown great potential in breast cancer detection. However, the lack of domain generalization of artificial neural networks is an important obstacle to their deployment in changing clinical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f640cce02b00d8b6b1c653f3929959e7
https://doi.org/10.1016/j.artmed.2022.102386

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