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Disambiguation of "Oto, Aytekin"

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Application of open-source computational tools to focal laser ablation of the prostate.

, , , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109511S. SPIE, (2019)

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Yavuz Aytekin

Aytekin Bilge

Nuray Aytekin

Kweku Otoo

Anna Otop

 

Other publications of authors with the same name

Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods., , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61445B. SPIE, (2006)Cross-device automated prostate cancer localization with multiparametric MRI., , and . EMBC, page 6247-6250. IEEE, (2012)Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection., , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903508. SPIE, (2014)Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79630S. SPIE, (2011)Cross-Device Automated Prostate Cancer Localization With Multiparametric MRI., , and . IEEE Trans. Image Process., 22 (12): 5385-5394 (2013)Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring., , , , , , and . EMBC, page 2984-2987. IEEE, (2013)In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model., , , , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 314-322. Springer, (2014)A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701H. SPIE, (2013)Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization., , , , , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 511-523. Springer, (2013)Graph-based prostate extraction in T2-weighted images for prostate cancer detection., , , and . FSKD, page 1225-1229. IEEE, (2015)