Vellido A - Search Results

1

Severe sepsis mortality prediction with relevance vector machines.

Ribas VJ, López JC, Ruiz-Sanmartin A, Ruiz-Rodríguez JC, Rello J, Wojdel A, Vellido A. Ribas VJ, et al. Among authors: vellido a. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:100-3. doi: 10.1109/IEMBS.2011.6089906. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22254260

2

Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous.

Ungan G, Pons-Escoda A, Ulinic D, Arús C, Ortega-Martorell S, Olier I, Vellido A, Majós C, Julià-Sapé M. Ungan G, et al. Among authors: vellido a. NMR Biomed. 2024 Apr;37(4):e5095. doi: 10.1002/nbm.5095. Epub 2024 Jan 11. NMR Biomed. 2024. PMID: 38213096

3

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study.

Ungan G, Pons-Escoda A, Ulinic D, Arús C, Vellido A, Julià-Sapé M. Ungan G, et al. Among authors: vellido a. Cancers (Basel). 2023 Jul 21;15(14):3709. doi: 10.3390/cancers15143709. Cancers (Basel). 2023. PMID: 37509372 Free PMC article.

4

Brain tumour classification using Gaussian decomposition and neural networks.

Arizmendi C, Sierra DA, Vellido A, Romero E. Arizmendi C, et al. Among authors: vellido a. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5645-8. doi: 10.1109/IEMBS.2011.6091366. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22255620

5

Sepsis mortality prediction with the Quotient Basis Kernel.

Ribas Ripoll VJ, Vellido A, Romero E, Ruiz-Rodríguez JC. Ribas Ripoll VJ, et al. Among authors: vellido a. Artif Intell Med. 2014 May;61(1):45-52. doi: 10.1016/j.artmed.2014.03.004. Epub 2014 Mar 27. Artif Intell Med. 2014. PMID: 24726036

6

Machine learning in critical care: state-of-the-art and a sepsis case study.

Vellido A, Ribas V, Morales C, Ruiz Sanmartín A, Ruiz Rodríguez JC. Vellido A, et al. Biomed Eng Online. 2018 Nov 20;17(Suppl 1):135. doi: 10.1186/s12938-018-0569-2. Biomed Eng Online. 2018. PMID: 30458795 Free PMC article.

7

AI-Based Glioma Grading for a Trustworthy Diagnosis: An Analytical Pipeline for Improved Reliability.

Pitarch C, Ribas V, Vellido A. Pitarch C, et al. Among authors: vellido a. Cancers (Basel). 2023 Jun 27;15(13):3369. doi: 10.3390/cancers15133369. Cancers (Basel). 2023. PMID: 37444479 Free PMC article.

8

Handling outliers in brain tumour MRS data analysis through robust topographic mapping.

Vellido A, Lisboa PJ. Vellido A, et al. Comput Biol Med. 2006 Oct;36(10):1049-63. doi: 10.1016/j.compbiomed.2005.09.004. Epub 2005 Nov 21. Comput Biol Med. 2006. PMID: 16305794

9

Finding discriminative subtypes of aggressive brain tumours using magnetic resonance spectroscopy.

Colas F, Kok JN, Vellido A. Colas F, et al. Among authors: vellido a. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1065-8. doi: 10.1109/IEMBS.2010.5627286. Annu Int Conf IEEE Eng Med Biol Soc. 2010. PMID: 21096552

10

Diagnosis of brain tumours from magnetic resonance spectroscopy using wavelets and Neural Networks.

Arizmendi C, Hernandez-Tamames J, Romero E, Vellido A, Del Pozo F. Arizmendi C, et al. Among authors: vellido a. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6074-7. doi: 10.1109/IEMBS.2010.5627627. Annu Int Conf IEEE Eng Med Biol Soc. 2010. PMID: 21097127

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