Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Adrián, Colomer"'
Autor:
Andrés Mosquera-Zamudio, Laëtitia Launet, Rocío del Amor, Anaïs Moscardó, Adrián Colomer, Valery Naranjo, Carlos Monteagudo
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Abstract Spitzoid tumors (ST) are a group of melanocytic tumors of high diagnostic complexity. Since 1948, when Sophie Spitz first described them, the diagnostic uncertainty remains until now, especially in the intermediate category known as Spitz tu
Externí odkaz:
https://doaj.org/article/e0f3faeba6fa482da828995bf272eadb
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract The creation of artistic images through the use of Artificial Intelligence is an area that has been gaining interest in recent years. In particular, the ability of Neural Networks to separate and subsequently recombine the style of different
Externí odkaz:
https://doaj.org/article/a2d98df247a04853bf5f2b47e071b158
Epigenetic alterations have an important role in the development of several types of cancer. Epigenetic studies generate a large amount of data, which makes it essential to develop novel models capable of dealing with large-scale data. In this work,
Externí odkaz:
http://arxiv.org/abs/2102.09563
Autor:
Zahra Tabatabaei, Fernando Pérez Bueno, Adrián Colomer, Javier Oliver Moll, Rafael Molina, Valery Naranjo
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2063 (2024)
Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools assist pathologists to obtain a faster and more accurate cancer diagnos
Externí odkaz:
https://doaj.org/article/ddda1fe3029d411b89f844c8cc812078
Autor:
Zahra Tabatabaei, Yuandou Wang, Adrián Colomer, Javier Oliver Moll, Zhiming Zhao, Valery Naranjo
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1144 (2023)
The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data set for training CBMIR models. CBMIR is a tool to find the most s
Externí odkaz:
https://doaj.org/article/f74cf3ed35414f359e318f195a5f403f
Autor:
Laëtitia Launet, Yuandou Wang, Adrián Colomer, Jorge Igual, Cristian Pulgarín-Ospina, Spiros Koulouzis, Riccardo Bianchi, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, Zhiming Zhao
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 919 (2023)
Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, cross-silo federated learning has emer
Externí odkaz:
https://doaj.org/article/1efbf6ae12c34873b162e6bc3f1d2c77
Autor:
Rocío del Amor, Sandra Morales, Adrián Colomer, Mette Mogensen, Mikkel Jensen, Niels M. Israelsen, Ole Bang, Valery Naranjo
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Optical coherence tomography (OCT) is a well-established bedside imaging modality that allows analysis of skin structures in a non-invasive way. Automated OCT analysis of skin layers is of great relevance to study dermatological diseases. In this pap
Externí odkaz:
https://doaj.org/article/0ca7e6d7aa06452f9d0348b2bec4df34
Publikováno v:
Entropy, Vol 23, Iss 7, p 898 (2021)
Atrial fibrillation (AF) is the most common cardiac arrhythmia. At present, cardiac ablation is the main treatment procedure for AF. To guide and plan this procedure, it is essential for clinicians to obtain patient-specific 3D geometrical models of
Externí odkaz:
https://doaj.org/article/bc609f958ea542a398b5d3aaa639d42b
Autor:
Andrés Mosquera-Zamudio, Laëtitia Launet, Zahra Tabatabaei, Rafael Parra-Medina, Adrián Colomer, Javier Oliver Moll, Carlos Monteagudo, Emiel Janssen, Valery Naranjo
[EN] Simple Summary Deep learning (DL) is expanding into the surgical pathology field and shows promising outcomes in diminishing subjective interpretations, especially in dermatopathology. We aim to show the efforts of implementing DL models for mel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f1d9d638efbb1e89904adbde2b83898
https://hdl.handle.net/10251/192533
https://hdl.handle.net/10251/192533