Jerry L Prince
Radiology, Nuclear Medicine and Imaging · 1999–2020
A researcher in the Science corpus: 14 papers; trusts 40 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 122 citations into it; #1,512 of 3,265 by trust here, #1,019 by citations
- Computer Vision and Pattern Recognition — 98 citations into it; #9,356 of 21,575 by trust here, #5,116 by citations
- Artificial Intelligence — 65 citations into it; #13,858 of 35,345 by trust here, #9,170 by citations
- Cognitive Neuroscience — 40 citations into it
- Biomedical Engineering — 25 citations into it
- Biophysics — 15 citations into it; #574 of 1,196 by trust here, #996 by citations
- Orthopedics and Sports Medicine — 5 citations into it
Whom Jerry L Prince trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernard Walter Silverman
- Derek K. Jones
- John G. Sled
- Julian Besag
- Bruce Fischl
- Stuart Geman
- Anil K. Jain
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
Who trusts Jerry L Prince overall
- Yong Fan
- David W. Shattuck
- Dzung L. Pham
- Nematollah Kayhan Batmanghelich
- Simon Fristed Eskildsen
- Alan Wee-Chung Liew
- Christos Davatzikos
- Arvid Lundervold
- Bostjan Likar
- Bing Nan Li
Papers from Jerry L Prince's perspective
Ordered by how strongly the researchers Jerry L Prince trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Fully convolutional networks for semantic segmentation
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Densely Connected Convolutional Networks
Their papers
- Evaluation of Sparse-view Reconstruction from Flat-panel-detector Cone-beam CT (2010) — 398 citations
- A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises (2020) — 1,021 citations
- Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size (2018) — 232 citations
- Simulation and Synthesis in Medical Imaging (2018) — 168 citations
- Random Forest Regression for Magnetic Resonance Image Synthesis (2016) — 213 citations
- Retinal layer segmentation of macular OCT images using boundary classification (2013) — 305 citations
- Multi-Parametric Neuroimaging Reproducibility: A 3T Resource Study (2010) — 318 citations
- Longitudinal Changes in Cortical Thickness Associated with Normal Aging (2010) — 341 citations
- Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T (2007) — 295 citations
- A Topology Preserving Level Set Method for Geometric Deformable Models (2003) — 563 citations
- Imaging heart motion using harmonic phase MRI (2000) — 460 citations
- Image Segmentation Using Deformable Models (2000) — 304 citations
- Current methods in medical image segmentation. (2000) — 2,570 citations
- Adaptive fuzzy segmentation of magnetic resonance images (1999)