Jacob Hinkle

Intrinsic Polynomials for Regression on Riemannian Manifolds

Jacob Hinkle, P. Thomas Fletcher, Sarang Joshi · Journal of Mathematical Imaging and Vision · 2014 · 87 citations · Full text

Geometric Modeling, Geometric Interpolation, Engineering +15

A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction

Nikhil Singh, Jacob Hinkle, Sarang Joshi et al. · 2013 · 72 citations

Engineering, Geometry, Template Estimation +23

Classifying cancer pathology reports with hierarchical self-attention networks

Shang Gao, John X. Qiu, Mohammed Alawad et al. · Artificial Intelligence in Medicine · 2019 · 55 citations · Full text

Structured Prediction, Convolutional Neural Network, Cancer Pathology Reports +20

Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks

Theodore Papamarkou, Jacob Hinkle, M. Todd Young et al. · Statistical Science · 2022 · 51 citations · Full text

Bayesian Statistic, Engineering, Machine Learning +15

Investigating the Feasibility of Rapid MRI for Image-Guided Motion Management in Lung Cancer Radiotherapy

Amit Sawant, Paul Keall, Kim Butts Pauly et al. · BioMed Research International · 2014 · 47 citations · Full text

Engineering, Respiratory Motion, Diagnostic Imaging +19