Center for Research in Comptuer Vision
Center for Research in Comptuer Vision
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Dr. Bagci has 3 journal papers, 2 MICCAI papers and 1 RSNA paper accepted for publication


Journal Papers

  1. GZ Papadakis, C Millo, SM Sadowski, U Bagci, NJ Patronas
    Epididymal Cystadenomas in von Hippel-Lindau Disease Showing Increased Activity on 68Ga DOTATATE PET/CT. Clinical Nuclear Medicine,in press, 2016. http://doi.org/10.1097/RLU.0000000000001314
    [PDF]
  2. GZ Papadakis, C Millo, SM Sadowski, U Bagci, NJ Patronas
    Endolymphatic Sac Tumor Showing Increased Activity on 68Ga DOTATATE PET/CT. Clinical Nuclear Medicine,in press, 2016. http://doi.org/10.1097/RLU.0000000000001315
    [PDF]
  3. R.F. Johnson, U.Bagci, et al.
    3B11-N, a monoclonal antibody against MERS-CoV, reduces lung pathology in rhesus monkeys following intratracheal inoculation of MERS-CoV Jordan-n3/2012. Virology,490:49-58, March 2016. http://dx.doi.org/10.1016/j.virol.2016.01.004
    [PDF]

Conference Papers

  1. Buty, M., Z. Xu, M. Gao, U. Bagci, A. Wu, and D. Mollura
    Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features.
    MICCAI 2016, Athens Greece, October 17-22, 2016.
  2. Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan McCreedy, Matthew McAuliffe, Sandra Bednarova, Elizabeth Jones, Xinjian Chen, Peter L Choyke, Bradford J Wood, Ulas Bagci
    Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.
    Medical Computer Vision, MICCAI 2016, Athens Greece, October 17-22, 2016.
    [PDF]

RSNA Abstract

Deep Learning in Radiology: Recent Advances, Challenges and Future Trends
Sarfaraz Hussein, Harish Raviprakash; Uygar Teomete, and Ulas Bagci
RSNA 2016, Chicago, December, 2016.

Naji Khosravan, PhD student under supervision of Dr. Bagci, published his first paper in MICCAI MCV workshop, the paper will be published as a lecture notes by Springer later this year. Mario Buty (Dr. Bagci’s post-bac student) published his first MICCAI paper, and currently he continues his career in Seattle, Washington. Sarfaraz Hussein (PhD student) will be presenting Deep Learning approaches for Radiology applications in RSNA 2016 Conference, the largest congress for radiology in the world.