Justin P. Haldar

Radiology, Nuclear Medicine and Imaging · 2008–2014

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 15 citations into it; #607 of 3,265 by trust here, #3,131 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Computational Mechanics — 6 citations into it; #2,976 of 10,001 by trust here, #9,276 by citations
• Atomic and Molecular Physics, and Optics — 5 citations into it

Whom Justin P. Haldar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael Lustig
2. David R. Hunter
3. B. Recht
4. Prateek Jain
5. John M. Pauly
6. Mark A. Griswold
7. David L. Donoho
8. Kenneth L. Lange
9. E.J. Candes
10. Maryam Fazel

Who trusts Justin P. Haldar overall

1. Florian Knoll
2. Tri Dao
3. Kerstin Hammernik
4. Beidi Chen
5. Hemant Kumar Aggarwal
6. Chi Zhang
7. Nimit Sharad Sohoni

Papers from Justin P. Haldar's perspective

Ordered by how strongly the researchers Justin P. Haldar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
2. Regression Shrinkage and Selection via the Lasso
3. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Atomic Decomposition by Basis Pursuit
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Generalized autocalibrating partially parallel acquisitions (GRAPPA) (Magnetic Resonance in Medicine)
8. ImageNet classification with deep convolutional neural networks
9. Sparse MRI: The application of compressed sensing for rapid MR imaging
10. ImageNet: A large-scale hierarchical image database

Their papers

• Accelerating Advanced MRI Reconstructions on GPUs (2008) — 342 citations
• Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) for Constrained MRI (2014) — 345 citations
• Robust Water/Fat Separation in the Presence of Large Field Inhomogeneities Using a Graph Cut Algorithm (2009) — 347 citations