CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images

Autor: Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Julia Mariel Saidman, Martina Aineseder, Diego H. Milone, Enzo Ferrante

Publikováno v: Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)

Abstract The development of successful artificial intelligence models for chest X-ray analysis relies on large, diverse datasets with high-quality annotations. While several databases of chest X-ray images have been released, most include disease dia

Externí odkaz: https://doaj.org/article/304d58aee514463c9ae4192011d2fc4d

Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference

Autor: Rodrigo Echeveste, Enzo Ferrante, Diego H. Milone, Inés Samengo

Publikováno v: Network Neuroscience, Pp 1-17 (2022)

AbstractTheories for autism spectrum disorder (ASD) have been formulated at different levels, ranging from physiological observations to perceptual and behavioral descriptions. Understanding the physiological underpinnings of perceptual traits in ASD

Externí odkaz: https://doaj.org/article/b7550fd42deb490084452a955f8069f3

The transcription factor NF-YA10 determines the area explored byArabidopsis thalianaroots through direct regulation ofLAZYandTACgenes

Autor: Andana Barrios, Nicolas Gaggion, Natanael Mansilla, Leandro Lucero, Thomas Blein, Céline Sorin, Enzo Ferrante, Martin Crespi, Federico Ariel

Root developmental plasticity relies on transcriptional reprogramming, which largely depends on the activity of transcription factors (TFs). NF-YA2 and NF-YA10 (Nuclear Factor A2 and A10) are down-regulated by the specific miRNA isoform miR169defg, i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d48d42210ef2600f33166a5e0983b1c
https://doi.org/10.1101/2023.04.26.538431

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Autor: Georgios Tziritas, Yeonggul Jang, Jin Ma, Fumin Guo, Quanzheng Li, Tiancong Hua, Xiang Li, Lihong Liu, Angélica Atehortúa, James R. Clough, Zhiqiang Hu, Eric Kerfoot, Vicente Grau, Enzo Ferrante, Matthew Ng, Guanyu Yang, Mireille Garreau, Alejandro Debus, Elias Grinias, Jiahui Li, Wufeng Xue, Shuo Li, Wenjun Yan, Ilkay Oksuz, Hao Xu

Publikováno v: IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩

Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable ef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c812f31838dbb9f032c46d1d601ad4
https://doi.org/10.1109/jbhi.2021.3064353

On the relationship between research parasites and fairness in machine learning: challenges and opportunities

Autor: Nicolás Nieto, Agostina Larrazabal, Victoria Peterson, Diego H Milone, Enzo Ferrante

Publikováno v: GigaScience

Machine learning systems influence our daily lives in many different ways. Hence, it is crucial to ensure that the decisions and recommendations made by these systems are fair, equitable, and free of unintended biases. Over the past few years, the fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb2b28c6f873b36f81c765614984a5a
https://doi.org/10.1093/gigascience/giab086