Jacob Hinkle
Cited by
Cited by
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
Intrinsic polynomials for regression on Riemannian manifolds
J Hinkle, PT Fletcher, S Joshi
Journal of Mathematical Imaging and Vision 50, 32-52, 2014
Polynomial Regression on Riemannian Manifolds.
JD Hinkle, P Muralidharan, PT Fletcher, SC Joshi
ECCV (3), 1-14, 2012
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
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
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
Hierarchical geodesic models in diffeomorphisms
N Singh, J Hinkle, S Joshi, PT Fletcher
International Journal of Computer Vision 117, 70-92, 2016
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
Image reconstruction incorporating organ motion
S Joshi, J Hinkle, B Salter, T Fletcher, B Wang
US Patent 8,824,756, 2014
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
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
Wide neural networks with bottlenecks are deep Gaussian processes
D Agrawal, T Papamarkou, J Hinkle
The Journal of Machine Learning Research 21 (1), 7056-7121, 2020
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
Learning nonlinear level sets for dimensionality reduction in function approximation
G Zhang, J Zhang, J Hinkle
Advances in Neural Information Processsing Systems (NeurIPS), 2019
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
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
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
Biomass accessibility analysis using electron tomography
JD Hinkle, PN Ciesielski, K Gruchalla, KR Munch, BS Donohoe
Biotechnology for Biofuels 8, 1-16, 2015
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
Deep transfer learning across cancer registries for information extraction from pathology reports
M Alawad, S Gao, J Qiu, N Schaefferkoetter, JD Hinkle, HJ Yoon, ...
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
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