Jacob Hinkle
Title
Cited by
Cited by
Year
Intrinsic polynomials for regression on Riemannian manifolds
J Hinkle, PT Fletcher, S Joshi
Journal of Mathematical Imaging and Vision 50 (1), 32-52, 2014
662014
A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction
N Singh, J Hinkle, S Joshi, PT Fletcher
2013 IEEE 10th International Symposium on Biomedical Imaging, 1219-1222, 2013
642013
Polynomial regression on Riemannian manifolds
J Hinkle, P Muralidharan, PT Fletcher, S Joshi
European conference on computer vision, 1-14, 2012
572012
Investigating the feasibility of rapid MRI for image-guided motion management in lung cancer radiotherapy
A Sawant, P Keall, KB Pauly, M Alley, S Vasanawala, BW Loo Jr, J Hinkle, ...
BioMed research international 2014, 2014
512014
4D CT image reconstruction with diffeomorphic motion model
J Hinkle, M Szegedi, B Wang, B Salter, S Joshi
Medical image analysis 16 (6), 1307-1316, 2012
422012
A hierarchical geodesic model for diffeomorphic longitudinal shape analysis
N Singh, J Hinkle, S Joshi, PT Fletcher
International Conference on Information Processing in Medical Imaging, 560-571, 2013
382013
Hierarchical geodesic models in diffeomorphisms
N Singh, J Hinkle, S Joshi, PT Fletcher
International Journal of Computer Vision 117 (1), 70-92, 2016
322016
4D MAP image reconstruction incorporating organ motion
J Hinkle, P Fletcher, B Wang, B Salter, S Joshi
Information Processing in Medical Imaging, 676-687, 2009
292009
Image reconstruction incorporating organ motion
S Joshi, J Hinkle, B Salter, T Fletcher, B Wang
US Patent 8,824,756, 2014
272014
Quantifying variability in radiation dose due to respiratory-induced tumor motion
SE Geneser, JD Hinkle, RM Kirby, B Wang, B Salter, S Joshi
Medical image analysis 15 (4), 640-649, 2011
212011
Classifying cancer pathology reports with hierarchical self-attention networks
S Gao, JX Qiu, M Alawad, JD Hinkle, N Schaefferkoetter, HJ Yoon, ...
Artificial intelligence in medicine 101, 101726, 2019
152019
Collisional depolarization of Zeeman coherences in the Cs 133 6 p P 3∕ 2 2 level: Double-resonance two-photon polarization spectroscopy
SB Bayram, S Kin, MJ Welsh, JD Hinkle
Physical Review A 73 (4), 042713, 2006
132006
Raman scattering spectroscopy of liquid nitrogen molecules: An advanced undergraduate physics laboratory experiment
BL Sands, MJ Welsh, S Kin, R Marhatta, JD Hinkle, SB Bayram
American Journal of Physics 75 (6), 488-495, 2007
122007
Biomass accessibility analysis using electron tomography
JD Hinkle, PN Ciesielski, K Gruchalla, KR Munch, BS Donohoe
Biotechnology for biofuels 8 (1), 1-16, 2015
112015
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes.
D Agrawal, T Papamarkou, JD Hinkle
J. Mach. Learn. Res. 21, 175:1-175:66, 2020
92020
Learning nonlinear level sets for dimensionality reduction in function approximation
G Zhang, J Zhang, J Hinkle
Advances in Neural Information Processsing Systems (NeurIPS), 2019
92019
Distributed Bayesian optimization of deep reinforcement learning algorithms
MT Young, JD Hinkle, R Kannan, A Ramanathan
Journal of Parallel and Distributed Computing 139, 43-52, 2020
62020
Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
T Papamarkou, J Hinkle, MT Young, D Womble
arXiv e-prints, arXiv: 1910.06539, 2019
62019
Hyperspace: Distributed bayesian hyperparameter optimization
MT Young, J Hinkle, A Ramanathan, R Kannan
2018 30th International Symposium on Computer Architecture and High …, 2018
62018
An efficient parallel algorithm for hierarchical geodesic models in diffeomorphisms
N Singh, J Hinkle, S Joshi, PT Fletcher
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 341-344, 2014
62014
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