Jacob D. Hinkle

39 papers A* 1A 1B 3C 1Journal 19Unranked 14

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