Gogin N - Search Results

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Real-time x-ray fluoroscopy-based catheter detection and tracking for cardiac electrophysiology interventions.

Ma Y, Gogin N, Cathier P, Housden RJ, Gijsbers G, Cooklin M, O'Neill M, Gill J, Rinaldi CA, Razavi R, Rhode KS. Ma Y, et al. Among authors: gogin n. Med Phys. 2013 Jul;40(7):071902. doi: 10.1118/1.4808114. Med Phys. 2013. PMID: 23822439

Real-time respiratory motion correction for cardiac electrophysiology procedures using image-based coronary sinus catheter tracking.

Ma Y, King AP, Gogin N, Rinaldi CA, Gill J, Razavi R, Rhode KS. Ma Y, et al. Among authors: gogin n. Med Image Comput Comput Assist Interv. 2010;13(Pt 1):391-9. doi: 10.1007/978-3-642-15705-9_48. Med Image Comput Comput Assist Interv. 2010. PMID: 20879255

Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking.

Gao G, Penney G, Ma Y, Gogin N, Cathier P, Arujuna A, Morton G, Caulfield D, Gill J, Aldo Rinaldi C, Hancock J, Redwood S, Thomas M, Razavi R, Gijsbers G, Rhode K. Gao G, et al. Among authors: gogin n. Med Image Anal. 2012 Jan;16(1):38-49. doi: 10.1016/j.media.2011.05.003. Epub 2011 May 12. Med Image Anal. 2012. PMID: 21624845

Clinical evaluation of respiratory motion compensation for anatomical roadmap guided cardiac electrophysiology procedures.

Ma Y, King AP, Gogin N, Gijsbers G, Rinaldi CA, Gill J, Razavi R, Rhode KS. Ma Y, et al. Among authors: gogin n. IEEE Trans Biomed Eng. 2012 Jan;59(1):122-31. doi: 10.1109/TBME.2011.2168393. Epub 2011 Sep 15. IEEE Trans Biomed Eng. 2012. PMID: 21926014

Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning.

Gogin N, Viti M, Nicodème L, Ohana M, Talbot H, Gencer U, Mekukosokeng M, Caramella T, Diascorn Y, Airaud JY, Guillot MS, Bensalah Z, Dam Hieu C, Abdallah B, Bousaid I, Lassau N, Mousseaux E. Gogin N, et al. Diagn Interv Imaging. 2021 Nov;102(11):683-690. doi: 10.1016/j.diii.2021.05.004. Epub 2021 Jun 5. Diagn Interv Imaging. 2021. PMID: 34099435 Free article.

Automatic cervical lymphadenopathy segmentation from CT data using deep learning.

Courot A, Cabrera DLF, Gogin N, Gaillandre L, Rico G, Zhang-Yin J, Elhaik M, Bidault F, Bousaid I, Lassau N. Courot A, et al. Among authors: gogin n. Diagn Interv Imaging. 2021 Nov;102(11):675-681. doi: 10.1016/j.diii.2021.04.009. Epub 2021 May 19. Diagn Interv Imaging. 2021. PMID: 34023232 Free article.

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