Radeva P - Search Results

1

CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation.

Pezzano G, Ribas Ripoll V, Radeva P. Pezzano G, et al. Among authors: radeva p. Comput Methods Programs Biomed. 2021 Jan;198:105792. doi: 10.1016/j.cmpb.2020.105792. Epub 2020 Oct 15. Comput Methods Programs Biomed. 2021. PMID: 33130496

2

CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation.

Pezzano G, Díaz O, Ripoll VR, Radeva P. Pezzano G, et al. Among authors: radeva p. Comput Biol Med. 2021 Sep;136:104689. doi: 10.1016/j.compbiomed.2021.104689. Epub 2021 Jul 31. Comput Biol Med. 2021. PMID: 34364263 Free PMC article.

3

Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach.

Banchhor SK, Araki T, Londhe ND, Ikeda N, Radeva P, Elbaz A, Saba L, Nicolaides A, Shafique S, Laird JR, Suri JS. Banchhor SK, et al. Among authors: radeva p. Comput Methods Programs Biomed. 2016 Oct;134:237-58. doi: 10.1016/j.cmpb.2016.07.009. Epub 2016 Jul 9. Comput Methods Programs Biomed. 2016. PMID: 27480747

4

A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound.

Araki T, Ikeda N, Dey N, Chakraborty S, Saba L, Kumar D, Godia EC, Jiang X, Gupta A, Radeva P, Laird JR, Nicolaides A, Suri JS. Araki T, et al. Among authors: radeva p. Comput Methods Programs Biomed. 2015 Feb;118(2):158-72. doi: 10.1016/j.cmpb.2014.11.006. Epub 2014 Dec 2. Comput Methods Programs Biomed. 2015. PMID: 25523233

5

Uncertainty-aware selecting for an ensemble of deep food recognition models.

Aguilar E, Nagarajan B, Radeva P. Aguilar E, et al. Among authors: radeva p. Comput Biol Med. 2022 Jul;146:105645. doi: 10.1016/j.compbiomed.2022.105645. Epub 2022 May 21. Comput Biol Med. 2022. PMID: 35751183

6

Diaphragm border detection in coronary X-ray angiographies: New method and applications.

Petkov S, Carrillo X, Radeva P, Gatta C. Petkov S, et al. Among authors: radeva p. Comput Med Imaging Graph. 2014 Jun;38(4):296-305. doi: 10.1016/j.compmedimag.2014.01.003. Epub 2014 Jan 31. Comput Med Imaging Graph. 2014. PMID: 24534692

7

Standardized evaluation methodology and reference database for evaluating IVUS image segmentation.

Balocco S, Gatta C, Ciompi F, Wahle A, Radeva P, Carlier S, Unal G, Sanidas E, Mauri J, Carillo X, Kovarnik T, Wang CW, Chen HC, Exarchos TP, Fotiadis DI, Destrempes F, Cloutier G, Pujol O, Alberti M, Mendizabal-Ruiz EG, Rivera M, Aksoy T, Downe RW, Kakadiaris IA. Balocco S, et al. Among authors: radeva p. Comput Med Imaging Graph. 2014 Mar;38(2):70-90. doi: 10.1016/j.compmedimag.2013.07.001. Epub 2013 Sep 6. Comput Med Imaging Graph. 2014. PMID: 24012215

8

Generic feature learning for wireless capsule endoscopy analysis.

Seguí S, Drozdzal M, Pascual G, Radeva P, Malagelada C, Azpiroz F, Vitrià J. Seguí S, et al. Among authors: radeva p. Comput Biol Med. 2016 Dec 1;79:163-172. doi: 10.1016/j.compbiomed.2016.10.011. Epub 2016 Oct 19. Comput Biol Med. 2016. PMID: 27810622

9

Fast rigid registration of vascular structures in IVUS sequences.

Gatta C, Pujol O, Rodriguez Leor O, Mauri Ferre J, Radeva P. Gatta C, et al. Among authors: radeva p. IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):1006-11. doi: 10.1109/TITB.2009.2027230. Epub 2009 Jul 28. IEEE Trans Inf Technol Biomed. 2009. PMID: 19643713

10

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.

Lekadir K, Galimzianova A, Betriu A, Del Mar Vila M, Igual L, Rubin DL, Fernandez E, Radeva P, Napel S. Lekadir K, et al. Among authors: radeva p. IEEE J Biomed Health Inform. 2017 Jan;21(1):48-55. doi: 10.1109/JBHI.2016.2631401. Epub 2016 Nov 22. IEEE J Biomed Health Inform. 2017. PMID: 27893402 Free PMC article.

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