Lyall A, Somes N, Zhang F, Robertson J, O'donnell L, Rathi Y, Pasternak O, Fitzgerald Z, Savadjiev P, Molokotos E, others.
Investigating White Matter Maturation in Genetic High Risk for Schizophrenia Populations. In: NEUROPSYCHOPHARMACOLOGY. NATURE PUBLISHING GROUP MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND; 2017 p. S318–S318.
Song Y, Zhang F, Li Q, Huang H, O'Donnell LJ, Cai W.
Locally-transferred fisher vectors for texture classification. In: Proceedings of the IEEE International Conference on Computer Vision. 2017 p. 4912–4920.
Shaffer JJ, Ghayoor A, Long JD, Kim RE-Y, Lourens S, O'Donnell LJ, Westin C-F, Rathi Y, Magnotta V, Paulsen JS, others.
Longitudinal diffusion changes in prodromal and early HD: Evidence of white-matter tract deterioration. Human brain mapping 2017;38(3):1460–1477.
Otake Y, Yokota F, Fukuda N, Takao M, Takagi S, Yamamura N, O’Donnell LJ, Westin C-F, Sugano N, Sato Y.
Patient-specific skeletal muscle fiber modeling from structure tensor field of clinical CT images. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham; 2017 p. 656–663.
Otake Y, Miyamoto K, Ollivier A, Yokota F, Fukuda N, O’Donnell LJ, Westin C-F, Takao M, Sugano N, Chung BS, others.
Reconstruction of 3d muscle fiber structure using high resolution cryosectioned volume. In: International Workshop and Challenge on Computational Methods and Clinical Applications in Musculoskeletal Imaging. Springer, Cham; 2017 p. 85–94.
Norton I, Essayed WI, Zhang F, Pujol S, Yarmarkovich A, Golby AJ, Kindlmann G, Wassermann D, San Jose Estepar R, Rathi Y, others.
SlicerDMRI: open source diffusion MRI software for brain cancer research. Cancer research 2017;77(21):e101–e103.
Zhang F, Wu W, Ning L, McAnulty G, Waber D, Gagoski B, Sarill K, Hamoda HM, Song Y, Cai W, others.
Supra-threshold fiber cluster statistics for data-driven whole brain tractography analysis. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham; 2017 p. 556–565.
O'Donnell LJ, Daducci A, Wassermann D, Lenglet C.
Advances in computational and statistical diffusion MRI. NMR in Biomedicine 2017;
Otake Y, Miyamoto K, Ollivier A, Yokota F, Fukuda N, O’Donnell LJ, Westin C-F, Takao M, Sugano N, Chung BS, others.
Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume. In: International Workshop and Challenge on Computational Methods and Clinical Applications in Musculoskeletal Imaging. Springer, Cham; 2017 p. 85–94.
Song Y, Zhang F, Li Q, Huang H, O'Donnell LJ, Cai W.
Locally-Transferred Fisher Vectors for Texture Classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017 p. 4912–4920.
Otake Y, Yokota F, Fukuda N, Takao M, Takagi S, Yamamura N, O’Donnell LJ, Westin C-F, Sugano N, Sato Y.
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham; 2017 p. 656–663.
Zhang F, Wu W, Ning L, McAnulty G, Waber D, Gagoski B, Sarill K, Hamoda H, Song Y, Cai W, Rathi Y, O'Donnell LJ.
Supra-threshold Fiber Cluster Statistics for Data-driven Whole Brain Tractography Analysis. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2017 p. 556-565.
AbstractAbstract. This work presents a supra-threshold fiber cluster (STFC) analysis that leverages the whole brain fiber geometry to enhance statistical group difference analysis. The proposed method consists of (1) a study-specific data-driven tractography parcellation to obtain white matter (WM) tract parcels according to the WM anatomy and (2) a nonparametric permutation-based STFC test to identify significant differences between study populations (e.g. disease and healthy). The basic idea of our method is that a WM parcel’s neighborhood (parcels with similar WM anatomy) can support the parcel’s statistical significance when correcting for multiple comparisons. The method is demonstrated by application to a multi-shell diffusion MRI dataset from 59 individuals, including 30 attention deficit hyperactivity disorder (ADHD) patients and 29 healthy controls (HCs). Evaluations are conducted using both synthetic and real data. The results indicate that our STFC method gives greater sensitivity in finding group differences in WM tract parcels compared to several traditional multiple comparison correction methods.
Zhang F, Kahali P, Suter Y, Norton I, Rigolo L, Savadjiev P, Song Y, Rathi Y, Cai W, Wells WM, Golby AJ, O’Donnell LJ.
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. In: Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on. IEEE; 2017 p. 774–777.
Liao R, Ning L, Chen Z, Rigolo L, Gong S, Pasternak O, Golby AJ, Rathi Y, O’Donnell LJ.
Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model. NeuroImage: Clinical 2017;15:819–831.
Zhang F, Norton I, Cai W, Song Y, Wells WM, O'Donnell LJ.
Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency. In: Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on. IEEE; 2017 p. 796–799.
Shaffer JJ, Ghayoor A, Long JD, Kim RE-Y, Lourens S, O'Donnell LJ, Westin C-F, Rathi Y, Magnotta V, Paulsen JS, others.
Longitudinal diffusion changes in prodromal and early HD: Evidence of white-matter tract deterioration. Human brain mapping 2017;38(3):1460–1477.