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I. Aganj, J. Mora, B. Fischl, and J. C. Augustinack, “Automatic geometry-based estimation of the locus coeruleus region on T1-weighted magnetic resonance images,” Frontiers in Neuroscience, accepted for publication, 2024. | |
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I. Aganj, J. Mora, A. Frau-Pascual, and B. Fischl, “Exploratory correlation of the human structural connectome with non-MRI variables in Alzheimer’s disease,” Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 15:e12511, 2023. |
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I. Aganj and B. Fischl, “Multi-atlas image soft-segmentation via computation of the expected label value,” IEEE Transactions on Medical Imaging, vol. 40, no. 6, pp. 1702–1710, 2021. |
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A. Frau-Pascual, J. Augustinack, D. Varadarajan, A. Yendiki, D. H. Salat, B. Fischl, and I. Aganj, “Conductance-based structural brain connectivity in aging and dementia,” Brain Connectivity, vol. 11, no. 7, pp. 566–583, 2021. |
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S. Koley, P. K. Dutta, and I. Aganj, “Radius-optimized efficient template matching for lesion detection from brain images,” Scientific Reports, vol. 11, Article no. 11586, 2021. |
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C. Liu, W. Ammon, V. Siless, M. Fogarty, R. Wang, A. Atzeni, I. Aganj, J. E. Iglesias, L. Zollei, B. Fischl, J. D. Schmahmann, and H. Wang, “Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution,” NeuroImage, vol. 244, Article no. 118627, 2021. |
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D. Abramian, M. Larsson, A. Eklund, I. Aganj, C.-F. Westin, and H. Behjat, “Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters,” NeuroImage, vol. 237, Article no. 118095, 2021. |
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M. A. Morales, D. Izquierdo-Garcia, I. Aganj, J. Kalpathy-Cramer, B. R. Rosen, and C. Catana, “Implementation and validation of a three-dimensional cardiac motion estimation network,” Radiology: Artificial Intelligence, vol. 1, no. 4, 2019. |
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A. Frau-Pascual, M. Fogarty, B. Fischl, A. Yendiki, and I. Aganj, “Quantification of structural brain connectivity via a conductance model,” NeuroImage, vol. 189, pp. 485–496, 2019. |
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I. Aganj, “Automatic verification of the gradient table in diffusion-weighted MRI based on fiber continuity,” Scientific Reports, vol. 8, Article no. 16541, 2018. |
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I. Aganj, M. G. Harisinghani, R. Weissleder, and B. Fischl, “Unsupervised medical image segmentation based on the local center of mass,” Scientific Reports, vol. 8, Article no. 13012, 2018. |
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W. J. Lee, C. E. Han, I. Aganj, S. W. Seo, and J.-K. Seong, “Distinct patterns of rich club organization in Alzheimer’s disease and subcortical vascular dementia: a white matter network study,” Journal of Alzheimer’s Disease, vol. 63, no. 3, 2018. | |
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H. Wang, C. Magnain, R. Wang, J. Dubb, A. Varjabedian, L. S. Tirrell, A. Stevens, J. C. Augustinack, E. Konukoglu, I. Aganj, M. P. Frosch, J. D. Schmahmann, B. Fischl, and D. A. Boas, “as-PSOCT: volumetric microscopic imaging of human brain architecture and connectivity,” NeuroImage, vol. 165, pp. 56–68, 2018. |
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I. Aganj and B. Fischl, “Multimodal image registration through simultaneous segmentation,” IEEE Signal Processing Letters, vol. 24, no. 11, pp. 1661–1665, 2017. |
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T. Tong, I. Aganj, T. Ge, J. R. Polimeni, and B. Fischl, “Functional density and edge maps: characterizing functional architecture in individuals and improving cross-subject registration,” NeuroImage, vol. 158, pp. 346–355, 2017. |
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I. Aganj, J. E. Iglesias, M. Reuter, M. R. Sabuncu, and B. Fischl, “Mid-space-independent deformable image registration,” NeuroImage, vol. 152, pp. 158–170, 2017. |
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A.
Gholipour, O. Afacan, I. Aganj, B. Scherrer, S. P.
Prabhu, M. Sahin, and S. K. Warfield, “Super-resolution
reconstruction in frequency, image, and wavelet domains to
reduce through-plane partial voluming in MRI,”
Medical Physics, vol. 42, pp. 6919–6932, 2015. |
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J. L.
Gaglia, M. Harisinghani, I. Aganj, G. R. Wojtkiewicz,
S. Hedgire, C. Benoist, D. Mathis, and R. Weissleder, “Noninvasive
mapping of pancreatic inflammation in recent-onset type-1
diabetes patients,”
Proceedings of the National Academy of Sciences, vol.
112, pp. 2139–2144 , 2015. |
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I.
Aganj,
M. Reuter, M. R. Sabuncu, and B. Fischl, “Avoiding
symmetry-breaking spatial non-uniformity in deformable image
registration via a quasi-volume-preserving constraint,”
NeuroImage, vol. 106, pp. 238–251, 2015. |
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J. E.
Iglesias, M. R. Sabuncu, I. Aganj, P. Bhatt, C.
Casillas, D. Salat, A. Boxer, B. Fischl, and K. Van Leemput,
“An
algorithm for optimal fusion of atlases with different
labeling protocols,”
NeuroImage, vol. 106, pp. 451–463, 2015. |
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G.
Prasad, S. Joshi, N. Jahanshad, J. Villalon, I. Aganj,
C. Lenglet, G. Sapiro, K. McMahon, G. de Zubicaray, N.
Martin, M. Wright, A. Toga., and P. Thompson, “Automatic
clustering and population analysis of white matter tracts
using maximum density paths,”
NeuroImage, vol. 97, pp. 284–295, 2014. |
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I.
Aganj,
B. T. T. Yeo, M. R. Sabuncu, and B. Fischl, “On
removing interpolation and resampling artifacts in rigid
image registration,”
IEEE Transactions on Image Processing, vol. 22, no.
2, pp. 816–827, 2013. |
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E.
Caruyer, I. Aganj, C. Lenglet, G. Sapiro, and R.
Deriche, “Motion
detection in diffusion MRI via online ODF estimation,”
International Journal of Biomedical Imaging, vol.
2013, Article ID 849363, 2013. |
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I.
Aganj,
C. Lenglet, E. Yacoub, G. Sapiro, and N. Harel, “A
3D wavelet fusion approach for the reconstruction of
isotropic-resolution MR images from orthogonal
anisotropic-resolution scans,”
Magnetic Resonance in Medicine, vol. 67, no. 4, pp.
1167–1172, 2012. |
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I.
Aganj,
C. Lenglet, N. Jahanshad, E. Yacoub, N. Harel, P. Thompson,
and G. Sapiro, “A
Hough transform global probabilistic approach to
multiple-subject diffusion MRI tractography,” Medical
Image Analysis, vol. 15, no. 4, pp. 414–425, 2011. |
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I.
Aganj,
C. Lenglet, G. Sapiro, E. Yacoub, K. Ugurbil, and N. Harel,
“Reconstruction
of the orientation distribution function in single and
multiple shell q-ball imaging within constant solid angle,”
Magnetic Resonance in Medicine, vol. 64, no. 2, pp.
554–566, 2010. |
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I.
Aganj,
G. Sapiro, N. Parikshak, S. K. Madsen, and P. Thompson, “Measurement
of cortical thickness from MRI by minimum line integrals on
soft-classified tissue,”
Human Brain Mapping, vol. 30, no. 10, pp. 3188–3199,
2009. |
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R.
Narasimha, I. Aganj, A. Bennett, M. Borgnia, D.
Zabransky, G. Sapiro, S. McLaughlin, J. Milne, and S.
Subramaniam, “Evaluation
of denoising algorithms for biological electron tomography,”
Journal of Structural Biology, vol. 164, no. 1, pp.
7–17, 2008. |
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I.
Aganj,
G. Sapiro, and N. Harel, “Q-space
modeling in diffusion-weighted MRI,”
in Brain Mapping, A. W. Toga, Ed., Waltham: Academic
Press, 2015, pp. 257–263. |
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I.
Aganj and B. Fischl, “Intermediate deformable image registration via windowed cross-correlation,”
in Proceedings of the IEEE International Symposium on
Biomedical Imaging, pp. 1–5, Cartagena de Indias, Colombia, 2023. |
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A. Kazi, J. Mora, B. Fischl, A. V. Dalca, and I. Aganj, “Multi-head graph convolutional network for structural connectome classification,”
Proceedings of the MICCAI Workshop on Graphs in Biomedical Image Analysis, pp. 27–36, 2023. |
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A. Kazi, S. Farghadani, I. Aganj, and N. Navab, “IA-GCN: Interpretable attention based graph convolutional network for disease prediction,”
Proceedings of the International Conference on Machine Learning in Medical Imaging (held in conjunction with MICCAI), pp.
382–392, 2023. |
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H. Behjat, C.-F. Westin, and I. Aganj, “Cortical surface-informed volumetric spatial smoothing of fMRI data via graph signal processing,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3804–3808, 2021. |
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H. Behjat, I. Aganj, D. Abramian, A. Eklund, and C.-F. Westin, “Characterization of spatial dynamics of fMRI data in white matter using diffusion-informed white matter harmonics,” in Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 1586–1590, Nice, France, 2021. |
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I.
Aganj, A. Frau-Pascual, J. E. Iglesias, A. Yendiki, J. Augustinack, D. Salat, and B. Fischl, “Compensatory brain connection discovery in Alzheimer’s disease,”
in Proceedings of the IEEE International Symposium on
Biomedical Imaging, pp. 283–287, Iowa City, IA, 2020. |
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A. Frau-Pascual, J. Augustinack, D. Varadarajan, A. Yendiki, B. Fischl, and I. Aganj, “Detecting structural brain connectivity differences in dementia through a conductance model,” in Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, pp. 591–595, Pacific Grove, CA, 2019. |
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I.
Aganj and B. Fischl, “Expected label value computation for atlas-based image segmentation,”
in Proceedings of the IEEE International Symposium on
Biomedical Imaging, pp. 334–338, Venice, Italy, 2019. |
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S.
Koley, C. Chakraborty, C. Mainero, B. Fischl, and I.
Aganj, “A
fast approach to automatic detection of brain lesions,”
in Proceedings of the MICCAI Brain Lesions Workshop, pp. 52–61, Athens,
Greece, 2016. |
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Y.
Zhang, I. Aganj, A. van der Kouwe, and M. D. Tisdall,
“Effects
of resolution and registration algorithm on the accuracy of
EPI vNavs for real time head motion correction in MRI,”
in Proceedings of the 7th
International Workshop on Biomedical Image Registration
(held in conjunction with IEEE CVPR),
pp. 583–591, Las Vegas, NV, 2016. |
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I.
Aganj,
J. E. Iglesias, M. Reuter, M. R. Sabuncu, and B. Fischl, “Mid-space-independent
symmetric data term for pairwise deformable image
registration,”
in Proceedings of the 18th
International Conference on Medical Image Computing and
Computer Assisted Intervention,
pp. 263–271, Munich, Germany, 2015. |
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I.
Aganj,
M. Reuter, M. R. Sabuncu, and B. Fischl, “Symmetric
non-rigid image registration via an adaptive
quasi-volume-preserving constraint,”
in Proceedings of the IEEE International Symposium on
Biomedical Imaging, pp. 234–237, San Francisco, CA, 2013. |
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A.
Kamath, I. Aganj, J. G. Xu, E. Yacoub, K. Ugurbil, G.
Sapiro, and C. Lenglet, “Generalized
constant solid angle ODF and optimal acquisition protocol
for fiber orientation mapping,”
in Proceedings of the MICCAI Workshop on Computational
Diffusion MRI, pp. 67–78, Nice, France, 2012. |
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E.
Caruyer, I. Aganj, C. Lenglet, G. Sapiro, and R.
Deriche, “Online
motion detection in high angular resolution diffusion
imaging,”
in Proceedings of the Eighth IEEE International Symposium
on Biomedical Imaging, pp. 516–519, Chicago, IL, 2011. |
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N.
Jahanshad, I. Aganj, C. Lenglet, A. Joshi, Y. Jin, M.
Barysheva, K. McMahon, G. de Zubicaray, N. Martin, M.
Wright, A. Toga, G. Sapiro, and P. Thompson, “Sex
differences in the human connectome: 4-Tesla high angular
resolution diffusion imaging (HARDI) tractography in 234
young adult twins,”
in Proceedings of the Eighth IEEE International Symposium
on Biomedical Imaging, pp. 939–943, Chicago, IL, 2011. |
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G.
Prasad, N. Jahanshad, I. Aganj, C. Lenglet, G.
Sapiro, A. Toga, and P. Thompson, “Atlas-based
fiber clustering for multi-subject analysis of high angular
resolution diffusion imaging tractography,”
in Proceedings of the Eighth IEEE International Symposium
on Biomedical Imaging, pp. 276–280, Chicago, IL, 2011. |
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L.
Zhan, A. Leow, I. Aganj, C. Lenglet, G. Sapiro, E.
Yacoub, N. Harel, A. Toga, and P. Thompson, “Differential
information content in staggered multiple shell HARDI
measured by the tensor distribution function,”
in Proceedings of the Eighth IEEE International Symposium
on Biomedical Imaging, pp. 305–309, Chicago, IL, 2011. |
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Y.
Jin, Y. Shi, N. Jahanshad, I. Aganj, G. Sapiro, A.
Toga, and P. Thompson, “3D
elastic registration improves HARDI-derived fiber alignment
and automated tract clustering,”
in Proceedings of the Eighth IEEE International Symposium
on Biomedical Imaging, pp. 822–826, Chicago, IL, 2011. |
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G.
Prasad, S. Joshi, N. Jahanshad, J. Villalon, I. Aganj,
C. Lenglet, G. Sapiro, K. McMahon, G. de Zubicaray, N.
Martin, M. Wright, A. Toga, and P. Thompson, “White
matter tract analysis in 454 adults using maximum density
paths,”
in Proceedings of the MICCAI Workshop on Computational
Diffusion MRI, Toronto, Canada, pp. 1–12, Toronto, Canada, 2011.
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I.
Aganj,
C. Lenglet, and G. Sapiro, “ODF
maxima extraction in spherical harmonic representation via
analytical search space reduction,”
in Proceedings of the Thirteenth International Conference
on Medical Image Computing and Computer Assisted
Intervention, pp. 84–91, Beijing, China, 2010. |
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E.
Caruyer, I. Aganj, C. Lenglet, G. Sapiro, and R.
Deriche, “Online
orientation distribution function reconstruction in constant
solid angle and its application to motion detection in HARDI,”
in Proceedings of the Seventh IEEE International
Symposium on Biomedical Imaging, Rotterdam, Netherlands,
pp. 812–815, 2010. |
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I.
Aganj,
C. Lenglet, G. Sapiro, E. Yacoub, K. Ugurbil, and N. Harel,
“Multiple
q-shell ODF reconstruction in q-ball imaging,”
in Proceedings of the Twelfth International Conference on
Medical Image Computing and Computer Assisted Intervention,
pp. 423–431, London, UK, 2009. |
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I.
Aganj,
C. Lenglet, and G. Sapiro, “ODF
reconstruction in q-ball imaging with solid angle
consideration,”
in Proceedings of the Sixth IEEE International Symposium
on Biomedical Imaging, pp. 1398–1401, Boston, MA, 2009. |
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I.
Aganj,
G. Sapiro, N. Parikshak, S. K. Madsen, and P. Thompson, “Segmentation-free
measurement of cortical thickness from MRI,”
in Proceedings of the Fifth IEEE International Symposium
on Biomedical Imaging, pp. 1625–1628, Paris, France, 2008. |
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D.
Rother, K. Patwardhan, I. Aganj, and G. Sapiro, “3D
priors for scene learning from a single view,”
in Proceedings of the IEEE Workshop on Search in 3D (held
in conjunction with CVPR), pp. 1–8, Anchorage, AK, 2008. |
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I.
Aganj,
A. Bartesaghi, M. Borgnia, H.Y. Liao, G. Sapiro, and S.
Subramaniam, “Regularization
for inverting the Radon transform with wedge consideration,”
in Proceedings of the Fourth IEEE International Symposium
on Biomedical Imaging, pp. 217–220, Arlington, VA, 2007. |
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R.
Narasimha, I. Aganj, M. Borgnia, G. Sapiro, S.
McLaughlin, J. Milne, and S. Subramaniam, “From
gigabytes to bytes: Automated denoising and feature
identification in electron tomograms of intact bacterial
cells,”
in Proceedings of the Fourth IEEE International Symposium
on Biomedical Imaging, pp. 304–307, Arlington, VA, 2007. |
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I. Aganj, M. Vera, T. Feiweier, A. J. van der Kouwe, J. E. Kirsch, and B. Fischl, “Estimation of the spatial gradient of the MR image from the diffusion profile,” in Proceedings of the ISMRM & ISMRT 2023 Annual Meeting & Exhibition, Toronto, Canada, 2023. |
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S. Nasr, S. N. Malladi, R. B. H. Tootell, and I. Aganj, “Resting-state functional connectivity between ocular dominance columns,” in Proceedings of the Annual Meeting of the Organization for Human Brain Mapping, Montréal, Canada, 2023. | |
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I. Jang, M. Hoffmann, N. Singh, Y. Balbastre, L. Chen, M. A. Bezerra Cavalcanti Rockenbach, A. Dalca, I. Aganj, J. Kalpathy-Cramer, B. Fischl, and R. Frost, “Clinical evaluation of k-space correlation informed motion artifact detection in segmented multi-slice MRI,” in Proceedings of the ISMRM & ISMRT 2023 Annual Meeting & Exhibition, Toronto, Canada, 2023. |
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D. Y. Ts’o, R. A. Miller, M. Begum, I. Aganj, and S. Nasr, “Short-term monocular deprivation impacts the ocular dominance columns of adult visual cortex,” in Proceedings of the
Annual Meeting of the Society for Neuroscience, Washington, D.C., USA, 2023. |
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S. Nasr, J. Skerswetat, B. Kennedy, P. Sok, S. N. Malladi, I. Aganj, P. Bex, D. G. Hunter, and E. Gaier, “Amblyopia disrupts balanced ocular dominance (OD) activity in humans,” in Proceedings of the Annual Meeting of the Association for Research in Vision and Ophthalmology, New Orleans, LA, USA, 2023. | |
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I. Jang, R. Frost, M. Hoffmann, N. Singh, L. Chen, A. Guidon, M. A. Bezerra Cavalcanti Rockenbach, D. Comeau, B. Bizzo, K. Chang, S. Witham, D. Rettmann, S. Banerjee, A. Brau, T. Reese, I. Aganj, A. Dalca, B. Fischl, and J. Kalpathy-Cramer, “Automated MRI k-space motion artifact detection in segmented multi-slice sequences,” in Proceedings of the 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, England, 2022. |
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N. M. Singh, M. Hoffmann, D. C. Moyer, I. Jang, L. Chen, M. A. Bezerra Cavalcanti Rockenbach, A. Guidon, I. Aganj, J. Kalpathy-Cramer, E. Adalsteinsson, B. Fischl, A. V. Dalca, P. Golland, and R. Frost, “Joint neural network for fast retrospective rigid motion correction of accelerated segmented multislice MRI,” in Proceedings of the 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, England, 2022. |
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M. Mohammadi, A. Frau-Pascual, I. Aganj, J. Beaujoin, F. Lechanoine, T. Jacqueson, F. Poupon, C. Poupon, C. Destrieux, and F. Andersson, “High-resolution ex-vivo structural brainstem connectivity estimated via a conductance model,”
in Proceedings of the Annual Meeting of the Organization for Human Brain Mapping, Montréal, Canada, 2020. |
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H. Wang, V. Siless, M. Fogarty, I. Aganj, D. Greve, and B. Fischl, “The optical property and morphometry of human cerebellum cortex with automatic serial sectioning polarization sensitive optical coherence tomography,” in Proceedings of the SPIE Photonics West, San Francisco, CA, 2020. |
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D. Kothapalli, M. A. Tubi, S. I. Thomopoulos, I. Aganj, M. D. Sweeney, L. S. Schneider, E. B. Joe, J. M. Ringman, H. Yassine, M. G. Harrington, B. V. Zlokovic, A. W. Toga, H. C. Chui, P. M. Thompson, and M. N. Braskie, “Automated measurement of medial temporal lobe subregion cortical thickness using minimum line integrals,” in Proceedings of the 49th Annual Meeting of the Society for Neuroscience, Chicago, IL, 2019. |
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A. Frau-Pascual, A. Yendiki, B. Fischl, and I. Aganj, “Global quantification of structural brain connectivity,”
in Proceedings of the Annual Meeting of the
Organization for Human Brain Mapping, Singapore, 2018. |
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Y. Zhang, I. Aganj, A. van der Kouwe, and M. D. Tisdall, “Accurate high-speed 3D-registration of EPI vNavs for head motion correction,” in Proceedings of the Twenty Fifth Annual Meeting of the International Society for Magnetic Resonance in Medicine, Honolulu, HI, 2017. |
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I. Aganj,
G. Prasad, P. Srinivasan, A. Yendiki, P. M. Thompson, and B.
Fischl, “Structural
brain network augmentation via Kirchhoff's laws,”
in Proceedings of the Joint Annual Meeting of
ISMRM-ESMRMB, Milan, Italy, 2014. |
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A. Gholipour, O. Afacan, I. Aganj, and S. Warfield, “Super-resolution
MRI reconstruction in image, frequency, and wavelet domains,”
in Proc. Joint Annual Meeting of ISMRM-ESMRMB, Milan,
Italy, 2014. |
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G.
Prasad, I. Aganj, and P. Thompson, “Synthesizing
connectivity networks to improve classification of
Alzheimer's disease,” in Proceedings of the 43rd
Annual Meeting of the Society for Neuroscience,
San Diego, CA, 2013. |
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A.
Kamath, I. Aganj, J. Xu, E. Yacoub, K. Ugurbil, G.
Sapiro, and C. Lenglet, “Optimal
acquisition protocol for white matter fiber orientation
mapping using generalized CSA-ODF reconstruction,”
in Proc. Twenty First Annual Meeting of International
Society for Magnetic Resonance in Medicine, 2013. |
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G.
Prasad, S. Joshi, N. Jahanshad, J. Villalon, I. Aganj,
C. Lenglet, G. Sapiro, K. McMahon, G. de Zubicaray, N.
Martin, M. Wright, A. Toga, and P. Thompson, “Genetic
analysis of fibers in white matter pathways from HARDI
images,”
in Proceedings of the Eighteenth Annual Meeting of the
Organization for Human Brain Mapping, 2012. |
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I.
Aganj,
C. Lenglet, E. Yacoub, G. Sapiro, and N. Harel, “A
wavelet fusion approach to the reconstruction of
isotropic-resolution MR images from anisotropic orthogonal
scans,”
in Proceedings of the Nineteenth Annual Meeting of the
International Society for Magnetic Resonance in Medicine,
2011. |
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E.
Caruyer, I. Aganj, C. Lenglet, G. Sapiro, and R.
Deriche, “Online
reconstruction and motion detection in HARDI,”
in Proceedings of the Nineteenth Annual Meeting of the
International Society for Magnetic Resonance in Medicine,
2011. |
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N.
Jahanshad, I. Aganj, C. Lenglet, G. Sapiro, A. Toga,
K. McMahon, G. de Zubicaray, N. Martin, M. Wright, and P.
Thompson, “4-Tesla
high angular resolution diffusion tractography analysis of
the human connectome in 234 subjects: Sex differences and
EPI distortion effects,”
in Proceedings of the Nineteenth Annual Meeting of the
International Society for Magnetic Resonance in Medicine,
2011. |
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S. N.
Sotiropoulos, I. Aganj, S. Jbabdi, G. Sapiro, C.
Lenglet, and T. E. Behrens, “Inference on constant solid
angle orientation distribution functions from
diffusion-weighted MRI,” in Proceedings of the
Seventeenth Annual Meeting of the Organization for Human
Brain Mapping, 2011. |
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G.
Prasad, N. Jahanshad, I. Aganj, C. Lenglet, G.
Sapiro, A. W. Toga, and P. M. Thompson, “Atlas-based
fiber clustering for multi-subject HARDI tractography,”
in Proceedings of the Seventeenth Annual Meeting of the
Organization for Human Brain Mapping, 2011. |
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L.
Zhan, J. J. GadElkarim, A. D. Leow, I. Aganj, C.
Lenglet, G. Sapiro, N. Harel, A. W. Toga, and P. M.
Thompson, “Probabilistic tractography using the tensor
distribution function in multiple-shell HARDI,” in
Proceedings of the Seventeenth Annual Meeting of the
Organization for Human Brain Mapping, 2011. |
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I.
Aganj,
N. Jahanshad, C. Lenglet, A. W. Toga, K. L. McMahon, G. I.
de Zubicaray, M. J. Wright, N. G. Martin, G. Sapiro, and P.
Thompson, “Relating
fiber crossing in HARDI to intellectual function,”
in Proceedings of the Sixteenth Annual Meeting of the
Organization for Human Brain Mapping, 2010. |
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L.
Zhan, A. D. Leow, I. Aganj, C. Lenglet, G. Sapiro, N.
Harel, A. W. Toga, and P. Thompson, “Tensor
distribution function in multiple shell high angular
resolution diffusion imaging,”
in Proceedings of the Sixteenth Annual Meeting of the
Organization for Human Brain Mapping, 2010. |
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I.
Aganj,
C. Lenglet, G. Sapiro, M. C. Chiang, and P. Thompson, “Multi-subject
diffusion MRI tractography via a Hough transform global
approach,”
in Proceedings of the Fifteenth Annual Meeting of the
Organization for Human Brain Mapping, 2009. |
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I.
Aganj,
C. Lenglet, and G. Sapiro, “Accurate
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