Ortiz-de-Solorzano C - Search Results

1

Automatic registration of serial mammary gland sections.

Arganda-Carreras I, Fernandez-Gonzalez R, Ortiz-de-Solorzano C. Arganda-Carreras I, et al. Conf Proc IEEE Eng Med Biol Soc. 2004;2004:1691-4. doi: 10.1109/IEMBS.2004.1403509. Conf Proc IEEE Eng Med Biol Soc. 2004. PMID: 17272029

2

The potential of bioprinting for preparation of nanoparticle-based calibration standards for LA-ICP-ToF-MS quantitative imaging.

Billimoria K, Fernandez YAD, Andresen E, Sorzabal-Bellido I, Huelga-Suarez G, Bartczak D, Ortiz de Solórzano C, Resch-Genger U, Infante HG. Billimoria K, et al. Metallomics. 2022 Dec 8;14(12):mfac088. doi: 10.1093/mtomcs/mfac088. Metallomics. 2022. PMID: 36367500

3

Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images.

Jiménez-Sánchez D, López-Janeiro Á, Villalba-Esparza M, Ariz M, Kadioglu E, Masetto I, Goubert V, Lozano MD, Melero I, Hardisson D, Ortiz-de-Solórzano C, de Andrea CE. Jiménez-Sánchez D, et al. NPJ Digit Med. 2023 Mar 23;6(1):48. doi: 10.1038/s41746-023-00795-x. NPJ Digit Med. 2023. PMID: 36959234 Free PMC article.

4

System for combined three-dimensional morphological and molecular analysis of thick tissue specimens.

Fernandez-Gonzalez R, Jones A, Garcia-Rodriguez E, Chen PY, Idica A, Lockett SJ, Barcellos-Hoff MH, Ortiz-De-Solorzano C. Fernandez-Gonzalez R, et al. Microsc Res Tech. 2002 Dec 15;59(6):522-30. doi: 10.1002/jemt.10233. Microsc Res Tech. 2002. PMID: 12467029 Free article. Review.

5

Automatic segmentation of histological structures in mammary gland tissue sections.

Fernandez-Gonzalez R, Deschamps T, Idica A, Malladi R, Ortiz de Solorzano C. Fernandez-Gonzalez R, et al. J Biomed Opt. 2004 May-Jun;9(3):444-53. doi: 10.1117/1.1699011. J Biomed Opt. 2004. PMID: 15189081 Free article.

6

Quantitative image analysis in mammary gland biology.

Fernandez-Gonzalez R, Barcellos-Hoff MH, Ortiz-de-Solórzano C. Fernandez-Gonzalez R, et al. J Mammary Gland Biol Neoplasia. 2004 Oct;9(4):343-59. doi: 10.1007/s10911-004-1405-9. J Mammary Gland Biol Neoplasia. 2004. PMID: 15838604 Review.

7

A tool for the quantitative spatial analysis of complex cellular systems.

Fernandez-Gonzalez R, Barcellos-Hoff MH, Ortiz-de-Solórzano C. Fernandez-Gonzalez R, et al. IEEE Trans Image Process. 2005 Sep;14(9):1300-13. doi: 10.1109/tip.2005.852466. IEEE Trans Image Process. 2005. PMID: 16190466

8

Quantitative in vivo microscopy: the return from the 'omics'.

Fernández-González R, Muñoz-Barrutia A, Barcellos-Hoff MH, Ortiz-de-Solorzano C. Fernández-González R, et al. Curr Opin Biotechnol. 2006 Oct;17(5):501-10. doi: 10.1016/j.copbio.2006.07.005. Epub 2006 Aug 8. Curr Opin Biotechnol. 2006. PMID: 16899361 Review.

9

High-throughput analysis of multispectral images of breast cancer tissue.

Adiga U, Malladi R, Fernandez-Gonzalez R, Ortiz de Solorzano C. Adiga U, et al. IEEE Trans Image Process. 2006 Aug;15(8):2259-68. doi: 10.1109/tip.2006.875205. IEEE Trans Image Process. 2006. PMID: 16900681

10

Mapping mammary gland architecture using multi-scale in situ analysis.

Fernandez-Gonzalez R, Illa-Bochaca I, Welm BE, Fleisch MC, Werb Z, Ortiz-de-Solorzano C, Barcellos-Hoff MH. Fernandez-Gonzalez R, et al. Integr Biol (Camb). 2009 Jan;1(1):80-9. doi: 10.1039/b816933k. Epub 2008 Dec 5. Integr Biol (Camb). 2009. PMID: 20023794 Free PMC article.

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