Jacob D. Hinkle

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Chest Radiographs

Convolutional Neural Networks

Clinical Setting

Abnormality Detection

Top Venues

Artif. Intell. Medicine

Int. J. Comput. Vis.

J. Math. Imaging Vis.

Publications

Kathryn Knight, Ioana Danciu, Olga Ovchinnikova, Jacob D. Hinkle, Mayanka Chandra Shekar, Debangshu Mukherjee, Eileen McAllister, Caitlin Rizy, Kelly Cho, Amy C. Justice, Joseph Erdos, Peter Kuzmak, Lauren Costa, Yuk-Lam Ho, Reddy Madipadga, Suzanne Tamang, Ian Goethert
VISION: Toward a Standardized Process for Radiology Image Management at the National Level. CoRR (2024)
Mayanka Chandra Shekar, Ian Goethert, Md Inzamam Ul Haque, Benjamin McMahon, Sayera Dhaubhadel, Kathryn Knight, Joseph Erdos, Donna Reagan, Caroline Taylor, Peter Kuzmak, John Michael Gaziano, Eileen McAllister, Lauren Costa, Yuk-Lam Ho, Kelly Cho, Suzanne Tamang, Samah Fodeh-Jarad, Olga S. Ovchinnikova, Amy C. Justice, Jacob D. Hinkle, Ioana Danciu
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population. CoRR (2024)
Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi
Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC (2023)
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. CoRR (2022)
Folami Alamudun, Jacob D. Hinkle, Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Hong-Jun Yoon
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. Big Data (2022)
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. SC (2022)
Philipe A. Dias, Yuxin Tian, Shawn D. Newsam, Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Jacob D. Hinkle, Andrew W. Needham, Jeffrey M. Warren, Hassina Z. Bilheux
Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography. Mach. Learn. Sci. Technol. 2 (2) (2021)
Sergei V. Kalinin, Maxim A. Ziatdinov, Jacob D. Hinkle, Stephen Jesse, Ayana Ghosh, Kyle P. Kelley, Andrew R. Lupini, Bobby G. Sumpter, Rama K. Vasudevan
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy. CoRR (2021)
Abhishek Kumar Dubey, Michael T. Young, Christopher Stanley, Dalton D. Lunga, Jacob D. Hinkle
Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation. BIOIMAGING (2021)
Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga, Philipe Ambrozio Dias
Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. RSDHA@SC (2021)
Abhishek Kumar Dubey, Alina Peluso, Jacob D. Hinkle, Devanshu Agarawal, Zilong Tan
Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports. CoRR (2020)
Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris
Toward Large-Scale Image Segmentation on Summit. ICPP (2020)
Devanshu Agrawal, Theodore Papamarkou, Jacob D. Hinkle
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes. J. Mach. Learn. Res. 21 (2020)
Devanshu Agrawal, Theodore Papamarkou, Jacob D. Hinkle
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes. CoRR (2020)
Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis
Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks. CoRR (2020)
Abhishek Kumar Dubey, Michael T. Young, Christopher Stanley, Dalton D. Lunga, Jacob D. Hinkle
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation. CoRR (2020)
M. Todd Young, Jacob D. Hinkle, Ramakrishnan Kannan, Arvind Ramanathan
Distributed Bayesian optimization of deep reinforcement learning algorithms. J. Parallel Distributed Comput. 139 (2020)
Devanshu Agrawal, Hong-Jun Yoon, Georgia D. Tourassi, Jacob D. Hinkle
Computer-aided detection using non-convolutional neural network Gaussian processes. Medical Imaging: Computer-Aided Diagnosis (2019)
Theodore Papamarkou, Jacob D. Hinkle, M. Todd Young, David E. Womble
Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks. CoRR (2019)
Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle, Hong-Jun Yoon, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Georgia D. Tourassi
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI (2019)
Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. INNSBDDL (2019)
Abhishek Kumar Dubey, Jacob D. Hinkle, James Blair Christian, Georgia D. Tourassi
Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters. BCB (2019)
Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle, Noah Schaefferkoetter, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Lynne Penberthy, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi, Arvind Ramanathan
Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 101 (2019)
Guannan Zhang, Jiaxin Zhang, Jacob D. Hinkle
Learning nonlinear level sets for dimensionality reduction in function approximation. NeurIPS (2019)
M. Todd Young, Jacob D. Hinkle, Arvind Ramanathan, Ramakrishnan Kannan
HyperSpace: Distributed Bayesian Hyperparameter Optimization. SBAC-PAD (2018)
Prasanna Muralidharan, Jacob D. Hinkle, P. Thomas Fletcher
A map estimation algorithm for Bayesian polynomial regression on riemannian manifolds. ICIP (2017)
Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher
Hierarchical Geodesic Models in Diffeomorphisms. Int. J. Comput. Vis. 117 (1) (2016)
Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher
An efficient parallel algorithm for hierarchical geodesic models in diffeomorphisms. ISBI (2014)
Jacob D. Hinkle, P. Thomas Fletcher, Sarang C. Joshi
Intrinsic Polynomials for Regression on Riemannian Manifolds. J. Math. Imaging Vis. 50 (1-2) (2014)
Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher
A Hierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis. IPMI (2013)
Jacob D. Hinkle, Sarang C. Joshi
IDiff: Irrotational Diffeomorphisms for Computational Anatomy. IPMI (2013)
Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher
A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction. ISBI (2013)
Jacob D. Hinkle, Martin Szegedi, Brian Wang, Bill Salter, Sarang C. Joshi
4D CT image reconstruction with diffeomorphic motion model. Medical Image Anal. 16 (6) (2012)
Jacob D. Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang C. Joshi
Polynomial Regression on Riemannian Manifolds. ECCV (3) (2012)
Jacob D. Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang C. Joshi
Polynomial Regression on Riemannian Manifolds CoRR (2012)
Sarah E. Geneser, Jacob D. Hinkle, Robert M. Kirby, Brian Wang, Bill Salter, Sarang C. Joshi
Quantifying variability in radiation dose due to respiratory-induced tumor motion. Medical Image Anal. 15 (4) (2011)
Jacob D. Hinkle, Ganesh Adluru, Eugene G. Kholmovski, Edward V. R. Di Bella, Sarang C. Joshi
4D MAP MRI Image Reconstruction. VISAPP (1) (2010)
Jacob D. Hinkle, P. Thomas Fletcher, Brian Wang, Bill Salter, Sarang C. Joshi
4D MAP Image Reconstruction Incorporating Organ Motion. IPMI (2009)