mlsanityData to 14 Oct 2026

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI

arXiv 2306.00854 ↗First posted 1 Jun 2023eess.IV cs.CVcited by 11

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Abstract (arXiv)

Diffusion MRI (dMRI) is a widely used imaging modality, but requires long scanning times to acquire high resolution datasets. By leveraging the unique geometry present within this domain, we present a novel approach to dMRI angular super-resolution that extends upon the parametric continuous convolution (PCConv) framework. We introduce several additions to the operation including a Fourier feature mapping, global coordinates, and domain specific context. Using this framework, we build a fully parametric continuous convolution network (PCCNN) and compare against existing models. We demonstrate the PCCNN performs competitively while using significantly less parameters. Moreover, we show that this formulation generalises well to clinically relevant downstream analyses such as fixel-based analysis, and neurite orientation dispersion and density imaging.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 17 of its 48 references that are in the map. First posted on arXiv 1 Jun 2023.

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17 of 48 references.

References · 17

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  6. 2018Spherical CNNscited by 456
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  12. 2020Patch2Self: Denoising Diffusion MRI with Self-Supervised Learningcited by 29
5 more
  1. 2021Rotation-Equivariant Deep Learning for Diffusion MRIcited by 20
  2. 2021Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRIcited by 11
  3. 2022Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencodercited by 8
  4. 2019Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional networkcited by 4
  5. 2021ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learningcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 3; 2026: 5.

11 papers.

  1. 2024Diffusion MRI with Machine Learningcited by 11
  2. 2025MRI Super-Resolution with Deep Learning: A Comprehensive Surveycited by 7
  3. 2024Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRIcited by 2
  4. 2024Equivariant spatio-hemispherical networks for diffusion MRI deconvolutioncited by 1
  5. 2025Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRIcited by 1
  6. 2026Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolutioncited by 1
  7. 2025From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancementcited by 0
  8. 2026Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)cited by 0
  9. 2026PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolutioncited by 0
  10. 2026Diffusion-Encoding Gaussian Field for Joint k-q dMRI Reconstructioncited by 0
  11. 2026dMRI-F: A Foundation Model for Generalizable Diffusion MRI Analysis from Sparse Acquisitionscited by 0