![Foto de MARIA JOSE](/img/uploaded/EBFFFA050A4130FDD044F4B48CCBF78C.jpg)
MARIA JOSE
CARREIRA NOUCHE
Profesora titular de universidad
Publicaciones (80) Publicaciones de MARIA JOSE CARREIRA NOUCHE
2024
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Erratum: Correction for Regueira-Iglesias et al., "Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing" (Microbiology spectrum (2023) (e0439822))
Microbiology spectrum
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PrimerEvalPy: a tool for in-silico evaluation of primers for targeting the microbiome
BMC Bioinformatics, Vol. 25, Núm. 1
2023
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A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches
International Journal of Legal Medicine, Vol. 137, Núm. 4, pp. 1117-1146
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An Ensemble-Based Phenotype Classifier to Diagnose Crohn’s Disease from 16s rRNA Gene Sequences
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Few-Shot Image Classification for Automatic COVID-19 Diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing
Microbiology Spectrum, Vol. 11, Núm. 2
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In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea
Microbiome, Vol. 11, Núm. 1
2022
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A few-shot approach for COVID-19 screening in standard and portable chest X-ray images
Scientific Reports, Vol. 12, Núm. 1
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IDALib: a Python library for efficient image data augmentation
Proceedings - European Workshop on Visual Information Processing, EUVIP
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In-Silico Detection of Oral Prokaryotic Species With Highly Similar 16S rRNA Sequence Segments Using Different Primer Pairs
Frontiers in Cellular and Infection Microbiology, Vol. 11
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XAS: Automatic yet eXplainable Age and Sex determination by combining imprecise per-tooth predictions
Computers in Biology and Medicine, Vol. 149
2021
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Automated description of the mandible shape by deep learning
International Journal of Computer Assisted Radiology and Surgery, Vol. 16, Núm. 12, pp. 2215-2224
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Zftool: A software for automatic quantification of cancer cell mass evolution in zebrafish
Applied Sciences (Switzerland), Vol. 11, Núm. 16
2020
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Deep Neural Networks for Chronological Age Estimation from OPG Images
IEEE Transactions on Medical Imaging, Vol. 39, Núm. 7, pp. 2374-2384
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DenTiUS Plaque, a Web-Based Application for the Quantification of Bacterial Plaque: Development and Usability Study
Journal of medical Internet research, Vol. 22, Núm. 9, pp. e18570
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Towards deep learning reliable gender estimation from dental panoramic radiographs
CEUR Workshop Proceedings
2019
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Fully automatic teeth segmentation in adult OPG images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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Improving zebrafish embryo xenotransplantation conditions by increasing incubation temperature and establishing a proliferation index with ZFtool
BMC Cancer, Vol. 18, Núm. 1
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In situ substrate-formed biofilms using IDODS mimic supragingival tooth-formed biofilms
Journal of Oral Microbiology, Vol. 10, Núm. 1
2017
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Estimating rodent brain volume by a deformable contour model
Communications in Computer and Information Science