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2020 – today
- 2024
[j10]Thomas L. Athey, Daniel Jacob Tward, Ulrich Mueller, Laurent Younes, Joshua T. Vogelstein, Michael I. Miller:
Preserving Derivative Information while Transforming Neuronal Curves. Neuroinformatics 22(1): 63-74 (2024)- [j9]Gaiting Zhou, Daniel Tward
, Kenneth Lange:
A Majorization-Minimization Algorithm for Neuroimage Registration. SIAM J. Imaging Sci. 17(1): 273-300 (2024) - 2023
- [j8]Rosemary He, Daniel Tward:
Applying Joint Graph Embedding to Study Alzheimer's Neurodegeneration Patterns in Volumetric Data. Neuroinformatics 21(3): 601-614 (2023) - [i3]Thomas L. Athey, Daniel Jacob Tward, Ulrich Mueller, Laurent Younes, Joshua T. Vogelstein, Michael I. Miller:
Preserving Derivative Information while Transforming Neuronal Curves. CoRR abs/2303.09649 (2023) - 2021
- [j7]Daniel Jacob Tward:
An Optical Flow Based Left-Invariant Metric for Natural Gradient Descent in Affine Image Registration. Frontiers Appl. Math. Stat. 7: 718607 (2021) - [j6]Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein, Daniel Jacob Tward, Ulrich Mueller, Michael I. Miller:
Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry. Frontiers Neuroinformatics 15: 704627 (2021) - [j5]Daniel Jacob Tward, Jun Ma, Michael I. Miller, Laurent Younes:
Corrigendum to "Robust Diffeomorphic Mapping via Geodesically Controlled Active Shapes". Int. J. Biomed. Imaging 2021: 9780202:1-9780202:1 (2021) - [c13]Michael I. Miller, Jean Fan, Daniel Jacob Tward:
Multi Scale Diffeomorphic Metric Mapping of Spatial Transcriptomics Datasets. CVPR Workshops 2021: 4472-4480 - [c12]Kaitlin M. Stouffer, Zhenzhen Wang, Eileen Xu, Karl Lee, Paige Lee, Michael I. Miller, Daniel Jacob Tward:
From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data. ML-CDS@MICCAI 2021: 1-11 - [i2]Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein, Daniel Tward, Ulrich Mueller, Michael I. Miller:
Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry. CoRR abs/2104.01532 (2021) - [i1]Thomas L. Athey, Daniel Tward, Ulrich Mueller, Michael I. Miller:
Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction. CoRR abs/2106.02701 (2021) - 2020
- [c11]Michael I. Miller, Daniel Jacob Tward, Alain Trouvé:
Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy. CVPR Workshops 2020: 3760-3765 - [c10]Brian C. Lee, Daniel Jacob Tward, Zhiyi Hu, Alain Trouvé, Michael I. Miller:
Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis. CVPR Workshops 2020: 3766-3775
2010 – 2019
- 2019
- [c9]Brian C. Lee, Daniel Jacob Tward, Jinchi Wei, Dnyanesh Tipre, Robert G. Weiss, Michael I. Miller, Siamak Ardekani:
Diffeomorphic Upsampling of Serially Acquired Sparse 2D Cross-Sections in Cardiac MRI. EMBC 2019: 4491-4495 - [c8]Daniel Tward, Xu Li, Bing-Xing Huo, Brian C. Lee, Partha P. Mitra, Michael I. Miller:
3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm. MBIA/MFCA@MICCAI 2019: 162-173 - [c7]Daniel Tward, Anthony Kolasny, Fatima Khan, Juan Troncoso, Michael I. Miller:
Expanding the Computational Anatomy Gateway from clinical imaging to basic neuroscience research. PEARC 2019: 9:1-9:6 - 2018
- [j4]Brian C. Lee, Daniel Jacob Tward, Partha P. Mitra, Michael I. Miller:
On variational solutions for whole brain serial-section histology using a Sobolev prior in the computational anatomy random orbit model. PLoS Comput. Biol. 14(12) (2018) - 2017
- [j3]Daniel Jacob Tward, Michael I. Miller, Alain Trouvé, Laurent Younes:
Parametric Surface Diffeomorphometry for Low Dimensional Embeddings of Dense Segmentations and Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1195-1208 (2017) - [c6]Daniel Tward, Michael I. Miller:
Unbiased Diffeomorphic Mapping of Longitudinal Data with Simultaneous Subject Specific Template Estimation. GRAIL/MFCA/MICGen@MICCAI 2017: 125-136 - [c5]Daniel Jacob Tward, Brian C. Lee, Partha P. Mitra, Michael I. Miller:
Performance of Image Matching in the Computational Anatomy Gateway: CPU and GPU Implementations in OpenCL. PEARC 2017: 46:1-46:7 - 2016
- [c4]Daniel Jacob Tward, Chelsea S. Sicat, Timothy Brown, Arnold Bakker, Michael I. Miller:
Reducing Variability in Anatomical Definitions Over Time Using Longitudinal Diffeomorphic Mapping. SeSAMI@MICCAI 2016: 51-62 - [c3]Daniel Jacob Tward, Anthony Kolasny, Chelsea S. Sicat, Timothy Brown, Michael I. Miller:
Tools for studying populations and timeseries of neuroanatomy enabled through GPU acceleration in the Computational Anatomy Gateway. XSEDE 2016: 15:1-15:7 - 2014
- [c2]Daniel Jacob Tward, Jorge Jovicich, Andrea Soricelli, Giovanni B. Frisoni, Alain Trouvé, Laurent Younes, Michael I. Miller:
Improved Reproducibility of Neuroanatomical Definitions through Diffeomorphometry and Complexity Reduction. MLMI 2014: 223-230 - [c1]Saurabh Jain, Daniel Jacob Tward, David S. Lee, Anthony Kolasny, Timothy Brown, J. Tilak Ratnanather, Michael I. Miller, Laurent Younes:
Computational Anatomy Gateway: Leveraging XSEDE Computational Resources for Shape Analysis. XSEDE 2014: 54:1-54:6 - 2013
- [j2]Daniel Jacob Tward, Jun Ma, Michael I. Miller, Laurent Younes:
Robust Diffeomorphic Mapping via Geodesically Controlled Active Shapes. Int. J. Biomed. Imaging 2013: 205494:1-205494:19 (2013) - 2011
- [j1]Daniel Jacob Tward, Can Ceritoglu, Anthony Kolasny, Gregory M. Sturgeon, William Paul Segars, Michael I. Miller, J. Tilak Ratnanather:
Patient Specific Dosimetry Phantoms Using Multichannel LDDMM of the Whole Body. Int. J. Biomed. Imaging 2011: 481064:1-481064:9 (2011)
Coauthor Index
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last updated on 2024-04-25 02:27 CEST by the dblp team
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