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Jacob Hinkle
Jacob Hinkle
Senior Software Engineer - NVIDIA
Verified email at ornl.gov
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, 32-52, 2014
842014
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
832013
Polynomial regression on Riemannian manifolds
J Hinkle, P Muralidharan, PT Fletcher, S Joshi
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
702012
Automated and autonomous experiments in electron and scanning probe microscopy
SV Kalinin, M Ziatdinov, J Hinkle, S Jesse, A Ghosh, KP Kelley, AR Lupini, ...
ACS nano 15 (8), 12604-12627, 2021
672021
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
592014
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
552012
A hierarchical geodesic model for diffeomorphic longitudinal shape analysis
N Singh, J Hinkle, S Joshi, PT Fletcher
Information Processing in Medical Imaging: 23rd International Conference …, 2013
482013
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
472019
Challenges in Markov chain Monte Carlo for Bayesian neural networks
T Papamarkou, J Hinkle, MT Young, D Womble
Statistical Science 37 (3), 425-442, 2022
432022
Hierarchical geodesic models in diffeomorphisms
N Singh, J Hinkle, S Joshi, PT Fletcher
International Journal of Computer Vision 117, 70-92, 2016
392016
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
342009
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
332020
Autonomous experiments in scanning probe microscopy and spectroscopy: choosing where to explore polarization dynamics in ferroelectrics
RK Vasudevan, KP Kelley, J Hinkle, H Funakubo, S Jesse, SV Kalinin, ...
ACS nano 15 (7), 11253-11262, 2021
312021
Wide neural networks with bottlenecks are deep Gaussian processes
D Agrawal, T Papamarkou, J Hinkle
Journal of Machine Learning Research 21 (175), 1-66, 2020
312020
Image reconstruction incorporating organ motion
S Joshi, J Hinkle, B Salter, T Fletcher, B Wang
US Patent 8,824,756, 2014
312014
Learning nonlinear level sets for dimensionality reduction in function approximation
G Zhang, J Zhang, J Hinkle
Advances in Neural Information Processsing Systems (NeurIPS), 2019
292019
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
242011
Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks
T Papamarkou, H Guy, B Kroencke, J Miller, P Robinette, D Schultz, ...
Nuclear Engineering and Technology 53 (2), 657-665, 2021
202021
Hyperspace: Distributed bayesian hyperparameter optimization
MT Young, J Hinkle, A Ramanathan, R Kannan
2018 30th International Symposium on Computer Architecture and High …, 2018
192018
Biomass accessibility analysis using electron tomography
JD Hinkle, PN Ciesielski, K Gruchalla, KR Munch, BS Donohoe
Biotechnology for Biofuels 8, 1-16, 2015
182015
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