Hersh Chandarana
Magnetic Resonance in Medicine · 2013–2020
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Hersh Chandarana trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hersh Chandarana's perspective
Ordered by how strongly the researchers Hersh Chandarana trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Sparse MRI: The application of compressed sensing for rapid MR imaging
- Generalized autocalibrating partially parallel acquisitions (GRAPPA) (Magnetic Resonance in Medicine)
- k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity
- Nonuniform fast Fourier transforms using min-max interpolation (IEEE Transactions on Signal Processing)
- Image quality assessment: from error visibility to structural similarity
- k‐t BLAST and k‐t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations (Magnetic Resonance in Medicine)
- Compressed Sensing
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- Adaptive reconstruction of phased array MR imagery (Magnetic Resonance in Medicine)
Their papers
- fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning. (2020) — 514 citations
- fastMRI: An Open Dataset and Benchmarks for Accelerated MRI (2018) — 1,072 citations
- XD-GRASP: Golden-Angle Radial MRI with Reconstruction of Extra Motion-State Dimensions Using Compressed Sensing (2015) — 684 citations
- Golden-Angle Radial Sparse Parallel MRI: Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling for Fast and Flexible Dynamic Volumetric MRI (2013) — 730 citations