Süheyla Cetin-Karayumak

Assistant Professor at Harvard Medical School

Schools

  • Harvard Medical School

Links

Biography

Harvard Medical School

Education

  • PhD Sabanci University (2011 — 2016)

Companies

  • Assistant Professor Brigham and Women's Hospital (2021)
  • Assistant Professor Harvard Medical School (2021)
  • Instructor Harvard Medical School (2019 — 2021)
  • Investigator Brigham and Women's Hospital (2019 — 2021)
  • Postdoctoral Research Fellow Harvard Medical School (2016 — 2019)
  • Postdoctoral Fellow Brigham and Women's Hospital (2016 — 2019)
  • Research and Teaching Assistant Sabanci University (2011 — 2016)
  • Intern Microsoft Research (2010 — 2010)

Research Interests

  • Medical Image Analysis
  • 3D Computer Vision
  • Medical Image Segmentation
  • Human Body Visualization
  • Computed Tomography, Magnetic Resonance Imaging

Publications and Invited Talks

Journal papers:

  • Suheyla Cetin, Evren Ozarslan, Gozde Unal, “Asymmetric orientation distribution functions (AODFs) revealing intravoxel geometry in diffusion MRI”, Neuroimage (under review).
  • Efe Ilicak, Suheyla Cetin, Elif Bulut, Kader Karli Oguz, Emine Ulku Saritas, Gozde Unal and Tolga Cukur, “Targeted vessel reconstruction in non-contrast-enhanced steady-state free precession angiography”, NMR in Biomedicine Volume 29, Issue 5, pages 532-544, May 2016.
  • Suheyla Cetin, Gozde Unal, “A Higher-Order Tensor Vessel Tractography for Segmentation of Vascular Structures,” IEEE Transactions on Medical Imaging, vol.34, no.10, pp.2172-2185, Oct. 2015, doi: 10.1109/TMI.2015.2425535.
  • Suheyla Cetin, Ali Demir, Anthony Joseph Yezzi, Muzaffer Degertekin, Gozde Unal, “Vessel tractography using an intensity based tensor model with Branch Detection“, IEEE Trans Med Imaging, 2013 Feb;32(2):348-63. doi: 10.1109/TMI.2012.2227118. Epub 2012 Nov 15.
  • H.A. Kirisli, M. Schaap, C.T. Metz, A.S. Dharampal, B.W. Meijboom, S.L. Papadopoulou, A. Dedic, K. Nieman, M.A. de Graaf, M.F.L. Meijs, M.J. Cramer, A. Broersen, S. Cetin, A. Eslami, L. Florez Valencia, K.L. Lor, B. Matuszewski, I. Melki, B. Mohr, I. Oksuz, R.Shahzad, C. Wang, P.H. Kitslaar, G. Unal, A. Katouzian, M. Orkisz, C.M. Chen, F. Precioso, L. Najman, S. Masood, D. Unay, L. J. van Vliet, R. Moreno, R. Goldenberg, E. Vucini, G. P. Krestin, W.J. Niessen and T. van Walsum, “Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in Computed Tomography Angiography“, Medical Image Analysis, 2013

Conference Papers:

  • Suheyla Cetin, Berkin Bilgic, Audrey Fan, Samantha Holdsworth, Gozde Unal, “Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016 (accepted).
  • Suheyla Cetin, Evren Ozarslan, Gozde Unal, “Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model”, Medical Image Computing and Computer-Assisted Intervention – MICCAI, 2015 Volume 9349 of the series Lecture Notes in Computer Science pp 231-238.
  • Suheyla Cetin, Emine U. Saritas, Gozde Unal, “Vessel tractography for magnetic
  • particle imaging angiography,” Magnetic Particle Imaging (IWMPI), 2015 5th International
  • Workshop on , 26-28 March 2015, doi: 10.1109/IWMPI.2015.7107036.
  • Suheyla Cetin, Audrey P. Fan, Berkin Bilgic, Kevin Setsompop, Gozde Unal, “Semi-automated visualization and segmentation of cerebral veins from QSM ”, International Society for Magnetic Resonance in Medicine 23rd Scientific Meeting, Toronto, Canada, 2015 (ISMRM Merit Award Magna Cum Laude).
  • Suheyla Cetin, Gozde Unal, “A cerebral blood vessels segmentation method using a flux based second order tensor model“, Singal Processing and Communications Applications Conference (SIU), 2014.
  • Suheyla Cetin, Gozde Unal, “Automatic detection of coronary artery stenosis in CTA based on vessel intensity and geometric features”, MICCAI’12, 3D Cardiovascular Imaging Segmentation Challenge, Nice, 2012 (Ranked first in the stenosis detection category) .
  • Suheyla Cetin, Gozde Unal, Muzaffer Degertekin, “Automatic Branch and Stenoses Detection in Computed Tomography Angiography“, IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, 2012.
  • Suheyla Cetin, Gozde Unal, Ali Demir, Anthony Joseph Yezzi, Muzaffer Degertekin, “Vessel tractography using an intensity based tensor model”, MICCAI’11 workshop on Computing and Visualization for (Intra)Vascular Imaging (CVII), Toronto, 2011.

Invited Talks:

Challenges in Medical Imaging, The 5th International Congress on Psychopharmacology &International Symposium on Child and Adolescent Psychopharmacology (TAP-ICP), October 30 – November 3, Antalya.

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