Jacob Hinkle

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Sarang JoshiScientific Computing and Imaging Institute, Professor of Biomedical engineering, University of UtahEmail verificata su sci.utah.edu
Bill J Salter Ph.D.Professor and Chief, Division of Medical Physics, University of Utah School of MedicineEmail verificata su hci.utah.edu
Tom FletcherUniversity of VirginiaEmail verificata su virginia.edu
Georgia TourassiOak Ridge National LabEmail verificata su ornl.gov
Hong-Jun YoonOak Ridge National LaboratoryEmail verificata su ornl.gov
Martin SzegediUniversity of UtahEmail verificata su hci.utah.edu
Theodore PapamarkouDistinguished professor, Zhejiang Normal UniversityEmail verificata su zjnu.edu.cn
Nikhil SinghUniversity of North Carolina, Chapel Hill, University of UtahEmail verificata su cs.utah.edu
Arvind RamanathanArgonne National LaboratoryEmail verificata su anl.gov
Abhishek K Dubey, Ph.D.National Cancer InstituteEmail verificata su nih.gov
Amit SawantUniversity of Maryland, BaltimoreEmail verificata su som.umaryland.edu
Mohammed AlawadAssistant Professor at Wayne State UniversityEmail verificata su wayne.edu
Ramakrishnan KannanOak Ridge National LaboratoryEmail verificata su ornl.gov
Paul J KeallProfessor at the University of Sydney and Director of the Radiation Physics LaboratoryEmail verificata su sydney.edu.au
Kim Butts PaulyProfessor of Radiology, Bioengineering and Electrical Engineering, by courtesy, Stanford UniversityEmail verificata su stanford.edu
Vikren SarkarAssociate Professor of Radiation Oncology, University of UtahEmail verificata su hci.utah.edu
Prasanna MuralidharanUniversity of UtahEmail verificata su sci.utah.edu
Shang GaoCasetextEmail verificata su casetext.com
Dalton LungaOak Ridge National LaboratoryEmail verificata su ornl.gov
Stylianos ChatzidakisPurdue UniversityEmail verificata su purdue.edu

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Jacob Hinkle

Senior Software Engineer - NVIDIA

Email verificata su ornl.gov

Shape Analysis Medical Image Analysis Statistics on Manifolds Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	107	2021
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	90	2013
Intrinsic polynomials for regression on Riemannian manifolds J Hinkle, PT Fletcher, S Joshi Journal of Mathematical Imaging and Vision 50, 32-52, 2014	89	2014
Polynomial regression on Riemannian manifolds J Hinkle, P Muralidharan, PT Fletcher, S Joshi Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	82	2012
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	66	2022
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	66	2019
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	60	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 (1), 485067, 2014	59	2014
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	48	2013
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	47	2020
Hierarchical geodesic models in diffeomorphisms N Singh, J Hinkle, S Joshi, PT Fletcher International Journal of Computer Vision 117, 70-92, 2016	39	2016
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	38	2021
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	36	2020
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	35	2009
Learning nonlinear level sets for dimensionality reduction in function approximation G Zhang, J Zhang, J Hinkle Advances in Neural Information Processsing Systems (NeurIPS), 2019	33	2019
Image reconstruction incorporating organ motion S Joshi, J Hinkle, B Salter, T Fletcher, B Wang US Patent 8,824,756, 2014	31	2014
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	30	2021
Hyperspace: Distributed bayesian hyperparameter optimization MT Young, J Hinkle, A Ramanathan, R Kannan 2018 30th International Symposium on Computer Architecture and High …, 2018	26	2018
Effect of image resolution on automated classification of chest X-rays MIU Haque, AK Dubey, I Danciu, AC Justice, OS Ovchinnikova, JD Hinkle Journal of Medical Imaging 10 (4), 044503-044503, 2023	24	2023
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	24	2011

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