Daniel S. Weller

Orcid: 0000-0001-9818-7325

Affiliations:
  • University of Virginia, Charlottesville, VA, USA


According to our database1, Daniel S. Weller authored at least 38 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Efficient Learning of Transform-Domain LMS Filter Using Graph Laplacian.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

2021
Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons.
CoRR, 2021

2020
Fast Automatic Parameter Selection for MRI Reconstruction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Myocardial T1-Mapping Framework with Recurrent and U-Net Convolutional Neural Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

VBET: Vesselness and Blob Enhancement Technique for 2d and 3d microscopy images of microglia.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Structure-Based Intensity Propagation for 3-D Brain Reconstruction With Multilayer Section Microscopy.
IEEE Trans. Medical Imaging, 2019

Content-Aware Enhancement of Images With Filamentous Structures.
IEEE Trans. Image Process., 2019

Real-time filtering with sparse variations for head motion in magnetic resonance imaging.
Signal Process., 2019

Enhanced Center Coding for Cell Detection with Convolutional Neural Networks.
CoRR, 2019

2018
Image quality affects deep learning reconstruction of MRI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Content-aware neuron image enhancement.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning dictionaries for accelerated parallel MRI reconstruction.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Whole brain reconstruction from multilayered sections of a mouse model of status epilepticus.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Comparison-Based Image Quality Assessment for Selecting Image Restoration Parameters.
IEEE Trans. Image Process., 2016

Comparison-based Image Quality Assessment for Parameter Selection.
CoRR, 2016

Reconstruction with dictionary learning for accelerated parallel magnetic resonance imaging.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

Analysis-form sparse phase retrieval using variable-splitting.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

Edge-based texture granularity detection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Denoising method selection by comparison-based image quality assessment.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust phase retrieval with sparsity under nonnegativity constraints.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Undersampled Phase Retrieval With Outliers.
IEEE Trans. Computational Imaging, 2015

Regularization parameter trimming for iterative image reconstruction.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian 𝕃<sub>1</sub>-SPIRiT MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2014

Phase retrieval of sparse signals using optimization transfer and ADMM.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction.
IEEE Trans. Medical Imaging, 2013

Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE.
IEEE Trans. Medical Imaging, 2013

Sure-based parameter selection for parallel MRI reconstruction using GRAPPA and sparsity.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Spoke pulse design in magnetic resonance imaging using greedy minimax algorithm.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Accelerating MRI by unifying sparse models and multiple receivers.
PhD thesis, 2012

Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
Bayesian Post-Processing Methods for Jitter Mitigation in Sampling.
IEEE Trans. Signal Process., 2011

On the Estimation of Nonrandom Signal Coefficients From Jittered Samples.
IEEE Trans. Signal Process., 2011

Evaluating sparsity penalty functions for combined compressed sensing and parallel MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Jitter compensation in sampling via polynomial least squares estimation.
Proceedings of the IEEE International Conference on Acoustics, 2009

2006
GrooveNet: A Hybrid Simulator for Vehicle-to-Vehicle Networks.
Proceedings of the 3rd Annual International ICST Conference on Mobile and Ubiquitous Systems: Computing, 2006

2005
GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks.
Proceedings of the Second International Workshop on Vehicular Ad Hoc Networks, 2005


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