Molina R - Search Results

1

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion.

Svendsen DH, Morales-Álvarez P, Ruescas AB, Molina R, Camps-Valls G. Svendsen DH, et al. Among authors: molina r. ISPRS J Photogramm Remote Sens. 2020 Aug;166:68-81. doi: 10.1016/j.isprsjprs.2020.04.014. ISPRS J Photogramm Remote Sens. 2020. PMID: 32747851 Free PMC article.

2

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO.

Morales-Alvarez P, Ruiz P, Coughlin S, Molina R, Katsaggelos AK. Morales-Alvarez P, et al. Among authors: molina r. IEEE Trans Pattern Anal Mach Intell. 2022 Mar;44(3):1534-1551. doi: 10.1109/TPAMI.2020.3025390. Epub 2022 Feb 3. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 32956038

3

Learning from crowds in digital pathology using scalable variational Gaussian processes.

López-Pérez M, Amgad M, Morales-Álvarez P, Ruiz P, Cooper LAD, Molina R, Katsaggelos AK. López-Pérez M, et al. Among authors: molina r. Sci Rep. 2021 Jun 2;11(1):11612. doi: 10.1038/s41598-021-90821-3. Sci Rep. 2021. PMID: 34078955 Free PMC article.

4

Learning from crowds for automated histopathological image segmentation.

López-Pérez M, Morales-Álvarez P, Cooper LAD, Felicelli C, Goldstein J, Vadasz B, Molina R, Katsaggelos AK. López-Pérez M, et al. Among authors: molina r. Comput Med Imaging Graph. 2024 Mar;112:102327. doi: 10.1016/j.compmedimag.2024.102327. Epub 2024 Jan 5. Comput Med Imaging Graph. 2024. PMID: 38194768 Free article.

5

Focused active learning for histopathological image classification.

Schmidt A, Morales-Álvarez P, Cooper LA, Newberg LA, Enquobahrie A, Molina R, Katsaggelos AK. Schmidt A, et al. Among authors: molina r. Med Image Anal. 2024 Apr 4;95:103162. doi: 10.1016/j.media.2024.103162. Online ahead of print. Med Image Anal. 2024. PMID: 38593644

6

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.

López-Pérez M, Schmidt A, Wu Y, Molina R, Katsaggelos AK. López-Pérez M, et al. Among authors: molina r. Comput Methods Programs Biomed. 2022 Jun;219:106783. doi: 10.1016/j.cmpb.2022.106783. Epub 2022 Mar 30. Comput Methods Programs Biomed. 2022. PMID: 35390723 Free article.

7

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.

Esteban ÁE, López-Pérez M, Colomer A, Sales MA, Molina R, Naranjo V. Esteban ÁE, et al. Among authors: molina r. Comput Methods Programs Biomed. 2019 Sep;178:303-317. doi: 10.1016/j.cmpb.2019.07.003. Epub 2019 Jul 4. Comput Methods Programs Biomed. 2019. PMID: 31416557 Free article.

8

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors.

Pérez-Bueno F, Vega M, Mateos J, Molina R, Katsaggelos AK. Pérez-Bueno F, et al. Among authors: molina r. Sensors (Basel). 2020 Sep 16;20(18):5308. doi: 10.3390/s20185308. Sensors (Basel). 2020. PMID: 32948056 Free PMC article.

9

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.

Silva-Rodríguez J, Colomer A, Sales MA, Molina R, Naranjo V. Silva-Rodríguez J, et al. Among authors: molina r. Comput Methods Programs Biomed. 2020 Oct;195:105637. doi: 10.1016/j.cmpb.2020.105637. Epub 2020 Jul 4. Comput Methods Programs Biomed. 2020. PMID: 32653747 Free article.

10

Proportion constrained weakly supervised histopathology image classification.

Silva-Rodríguez J, Schmidt A, Sales MA, Molina R, Naranjo V. Silva-Rodríguez J, et al. Among authors: molina r. Comput Biol Med. 2022 Aug;147:105714. doi: 10.1016/j.compbiomed.2022.105714. Epub 2022 Jun 10. Comput Biol Med. 2022. PMID: 35753089 Free article.

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