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ORCIDDaniel S. Weller
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- affiliation: University of Virginia, Charlottesville, VA, USA
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2020 – today
- 2023
[j11]Tamal Batabyal
, Daniel S. Weller, Jaideep Kapur, Scott T. Acton:
Efficient Learning of Transform-Domain LMS Filter Using Graph Laplacian. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7608-7620 (2023)- 2021
- [i3]Tamal Batabyal, Aijaz Ahmad Naik, Daniel S. Weller, Jaideep Kapur:
Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons. CoRR abs/2103.10462 (2021) - 2020
- [c23]Tiffany T. Ly, Tamal Batabyal, Jeremy Thompson, Tajie H. Harris, Daniel S. Weller, Scott T. Acton:
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching. ACSSC 2020: 251-255 - [c22]Tanjin Taher Toma, Kanchan Bisht, Ukpong Eyo, Daniel S. Weller:
VBET: Vesselness and Blob Enhancement Technique for 2d and 3d microscopy images of microglia. ACSSC 2020: 256-260 - [c21]Tanjin Taher Toma, Daniel S. Weller:
Fast Automatic Parameter Selection for MRI Reconstruction. ISBI 2020: 1078-1081 - [c20]Haris Jeelani, Yang Yang, Ruixi Zhou, Christopher M. Kramer, Michael Salerno, Daniel S. Weller:
A Myocardial T1-Mapping Framework with Recurrent and U-Net Convolutional Neural Networks. ISBI 2020: 1941-1944
2010 – 2019
- 2019
- [j10]Daniel S. Weller, Douglas C. Noll, Jeffrey A. Fessler:
Real-time filtering with sparse variations for head motion in magnetic resonance imaging. Signal Process. 157: 170-179 (2019) - [j9]Haris Jeelani, Haoyi Liang, Scott T. Acton, Daniel S. Weller:
Content-Aware Enhancement of Images With Filamentous Structures. IEEE Trans. Image Process. 28(7): 3451-3461 (2019) - [j8]Haoyi Liang, Natalia Dabrowska, Jaideep Kapur, Daniel S. Weller:
Structure-Based Intensity Propagation for 3-D Brain Reconstruction With Multilayer Section Microscopy. IEEE Trans. Medical Imaging 38(5): 1106-1115 (2019) - [i2]Haoyi Liang, Aijaz Naik, Cedric L. Williams, Jaideep Kapur, Daniel S. Weller:
Enhanced Center Coding for Cell Detection with Convolutional Neural Networks. CoRR abs/1904.08864 (2019) - 2018
- [c19]Haris Jeelani, Jonathan Martin, Francis Vasquez, Michael Salerno, Daniel S. Weller:
Image quality affects deep learning reconstruction of MRI. ISBI 2018: 357-360 - 2017
- [c18]Haoyi Liang, Natalia Dabrowska, Jaideep Kapur, Daniel S. Weller:
Whole brain reconstruction from multilayered sections of a mouse model of status epilepticus. ACSSC 2017: 1260-1263 - [c17]Daniel S. Weller:
Learning dictionaries for accelerated parallel MRI reconstruction. CISS 2017: 1 - [c16]Haoyi Liang, Scott T. Acton, Daniel S. Weller:
Content-aware neuron image enhancement. ICIP 2017: 3510-3514 - 2016
- [j7]Haoyi Liang, Daniel S. Weller:
Comparison-Based Image Quality Assessment for Selecting Image Restoration Parameters. IEEE Trans. Image Process. 25(11): 5118-5130 (2016) - [c15]Daniel S. Weller:
Robust phase retrieval with sparsity under nonnegativity constraints. ACSSC 2016: 1043-1047 - [c14]Haoyi Liang, Daniel S. Weller:
Denoising method selection by comparison-based image quality assessment. ICIP 2016: 3106-3110 - [c13]Haoyi Liang, Daniel S. Weller:
Edge-based texture granularity detection. ICIP 2016: 3563-3567 - [c12]Daniel S. Weller:
Analysis-form sparse phase retrieval using variable-splitting. SSIAI 2016: 61-64 - [c11]Daniel S. Weller:
Reconstruction with dictionary learning for accelerated parallel magnetic resonance imaging. SSIAI 2016: 105-108 - [i1]Haoyi Liang, Daniel S. Weller:
Comparison-based Image Quality Assessment for Parameter Selection. CoRR abs/1601.04619 (2016) - 2015
- [j6]Daniel S. Weller, Ayelet Pnueli, Gilad Divon, Ori Radzyner, Yonina C. Eldar, Jeffrey A. Fessler:
Undersampled Phase Retrieval With Outliers. IEEE Trans. Computational Imaging 1(4): 247-258 (2015) - [c10]Haoyi Liang, Daniel S. Weller:
Regularization parameter trimming for iterative image reconstruction. ACSSC 2015: 755-759 - 2014
- [j5]Daniel S. Weller, Sathish Ramani, Jeffrey A. Fessler:
Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian 𝕃1-SPIRiT MR Image Reconstruction. IEEE Trans. Medical Imaging 33(2): 351-361 (2014) - [c9]Daniel S. Weller, Ayelet Pnueli, Ori Radzyner, Gilad Divon, Yonina C. Eldar, Jeffrey A. Fessler:
Phase retrieval of sparse signals using optimization transfer and ADMM. ICIP 2014: 1342-1346 - 2013
- [j4]Daniel S. Weller, Jonathan R. Polimeni, Leo J. Grady, Lawrence L. Wald, Elfar Adalsteinsson, Vivek K. Goyal:
Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction. IEEE Trans. Medical Imaging 32(7): 1325-1335 (2013) - [j3]Sathish Ramani, Daniel S. Weller, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE. IEEE Trans. Medical Imaging 32(8): 1411-1422 (2013) - [c8]Hao Sun, Daniel S. Weller, Alan Chu, Sathish Ramani, Daehyun Yoon, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Spoke pulse design in magnetic resonance imaging using greedy minimax algorithm. ISBI 2013: 696-699 - [c7]Daniel S. Weller, Sathish Ramani, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Sure-based parameter selection for parallel MRI reconstruction using GRAPPA and sparsity. ISBI 2013: 954-957 - 2012
- [b1]Daniel S. Weller:
Accelerating MRI by unifying sparse models and multiple receivers. Massachusetts Institute of Technology, Cambridge, MA, USA, 2012 - [c6]Daniel S. Weller, Jonathan R. Polimeni, Leo J. Grady, Lawrence L. Wald, Elfar Adalsteinsson, Vivek K. Goyal:
Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model. SSP 2012: 221-224 - 2011
- [j2]Daniel S. Weller, Vivek K. Goyal:
On the Estimation of Nonrandom Signal Coefficients From Jittered Samples. IEEE Trans. Signal Process. 59(2): 587-597 (2011) - [j1]Daniel S. Weller, Vivek K. Goyal:
Bayesian Post-Processing Methods for Jitter Mitigation in Sampling. IEEE Trans. Signal Process. 59(5): 2112-2123 (2011) - [c5]Daniel S. Weller, Jonathan R. Polimeni, Leo J. Grady, Lawrence L. Wald, Elfar Adalsteinsson, Vivek K. Goyal:
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space. ICASSP 2011: 553-556 - [c4]Daniel S. Weller, Jonathan R. Polimeni, Leo J. Grady, Lawrence L. Wald, Elfar Adalsteinsson, Vivek K. Goyal:
Evaluating sparsity penalty functions for combined compressed sensing and parallel MRI. ISBI 2011: 1589-1592
2000 – 2009
- 2009
- [c3]Daniel S. Weller, Vivek K. Goyal:
Jitter compensation in sampling via polynomial least squares estimation. ICASSP 2009: 3341-3344 - 2006
- [c2]Rahul Mangharam, Daniel S. Weller, Raj Rajkumar, Priyantha Mudalige, Fan Bai:
GrooveNet: A Hybrid Simulator for Vehicle-to-Vehicle Networks. MobiQuitous 2006: 1-8 - 2005
- [c1]Rahul Mangharam, Daniel S. Weller, Daniel D. Stancil, Ragunathan Rajkumar, Jayendra S. Parikh:
GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks. Vehicular Ad Hoc Networks 2005: 59-68
Coauthor Index
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