Iman Aganj, Ph.D.
Affiliations: | 2010 | Electrical Engineering | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
Radiology, Biomedical EngineeringGoogle:
"Iman Aganj"Parents
Sign in to add mentorGuillermo Sapiro | grad student | 2010 | UMN | |
(Reconstruction and Analysis Methods in Diffusion and Anatomical MRI.) |
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Publications
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Aganj I. (2018) Automatic Verification of the Gradient Table in Diffusion-Weighted MRI Based on Fiber Continuity. Scientific Reports. 8: 16541 |
Aganj I, Harisinghani MG, Weissleder R, et al. (2018) Unsupervised Medical Image Segmentation Based on the Local Center of Mass. Scientific Reports. 8: 13012 |
Aganj I, Fischl B. (2017) Multimodal Image Registration through Simultaneous Segmentation. Ieee Signal Processing Letters. 24: 1661-1665 |
Wang H, Magnain C, Wang R, et al. (2017) as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. Neuroimage |
Aganj I, Iglesias JE, Reuter M, et al. (2017) Mid-Space-Independent Deformable Image Registration. Neuroimage |
Gholipour A, Afacan O, Aganj I, et al. (2015) Super-resolution reconstruction in frequency, image, and wavelet domains to reduce through-plane partial voluming in MRI. Medical Physics. 42: 6919 |
Aganj I, Reuter M, Sabuncu MR, et al. (2015) Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. Neuroimage. 106: 238-51 |
Aganj I, Sapiro G, Harel N. (2015) Q-Space Modeling in Diffusion-Weighted MRI Brain Mapping: An Encyclopedic Reference. 1: 257-263 |
Prasad G, Joshi SH, Jahanshad N, et al. (2014) Automatic clustering and population analysis of white matter tracts using maximum density paths. Neuroimage. 97: 284-95 |
Caruyer E, Aganj I, Lenglet C, et al. (2013) Motion Detection in Diffusion MRI via Online ODF Estimation. International Journal of Biomedical Imaging. 2013: 849363 |