Diffusion MRI

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Most implemented papers archive 2025-07-28

30 shown of 62 papers with code (213 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DDM²: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
  6 Feb 2023 3 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Magnetic resonance imaging (MRI) is a common and life-saving medical imaging technique.
• Combined tract segmentation and orientation mapping for bundle-specific tractography
  29 Jan 2019 2 repositories listed
  It is based on a learned mapping from the original fiber orientation distribution function (FOD) peaks to tract specific peaks, called tract orientation maps.
• Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease
  28 Dec 2018 2 repositories listed
  Lastly, with proper FR and FS, the performance of diffusion MRI features is comparable to that of T1w MRI.
• Tract orientation mapping for bundle-specific tractography
  14 Jun 2018 2 repositories listed
  While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert…
• Automatic, fast and robust characterization of noise distributions for diffusion MRI
  30 May 2018 2 repositories listed
  Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process.
• Exploring the robustness of TractOracle methods in RL-based tractography
  15 Jul 2025 1 repository listed
  Tractography algorithms leverage diffusion MRI to reconstruct the fibrous architecture of the brain's white matter.
• An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
  5 May 2025 1 repository listed
  The segmentation of cranial nerves (CNs) tract provides a valuable quantitative tool for the analysis of the morphology and trajectory of individual CNs.
• Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time
  2 Apr 2025 1 repository listed
  Early and accurate assessment of brain microstructure using diffusion Magnetic Resonance Imaging (dMRI) is crucial for identifying neurodevelopmental disorders in neonates, but remains challenging due to low…
• DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography
  10 Mar 2025 1 repository listed
  Diffusion MRI tractography is an advanced imaging technique that can estimate the brain's white matter structural connectivity to potentially reveal the topography of the nuclei of interest for studying its subdivisions.
• DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI
  5 Mar 2025 1 repository listed
  Diffusion MRI (dMRI) plays a crucial role in studying brain white matter connectivity.
• FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI
  3 Feb 2025 1 repository listed
  Our results demonstrate the feasibility of deep learning for fetal brain dMRI registration, providing a more accurate and reliable alternative to classical techniques.
• Scattering approach to diffusion quantifies axonal damage in brain injury
  30 Jan 2025 1 repository listed
  Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusive cellular-level alterations that occur much earlier than volumetric changes observable with the millimeter-resolution of…
• Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
  23 Jan 2025 1 repository listed
  Magnetic Resonance Imaging (MRI), including diffusion MRI (dMRI), serves as a ``microscope'' for anatomical structures and routinely mitigates the influence of low signal-to-noise ratio scans by compromising temporal or…
• Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
  18 Nov 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain.
• MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels
  16 Nov 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We demonstrate that our approach outperforms current model fitting techniques in dMRI simulations and real data.
• MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
  14 Nov 2024 1 repository listed
  There is a pressing need to harmonize the preprocessing of DW-MRI datasets to ensure the derivation of robust quantitative diffusion metrics across acquisitions.
• TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds
  29 Oct 2024 1 repository listed
  In this work, we investigate the possibility of utilizing a deep learning model to compute shape measures of the brain's white matter connections.
• Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
  29 Oct 2024 1 repository listed
  We observe difference between our dMRI-based brain age and T1w MRI-based brain age across stages of neurodegeneration, with dMRI-based brain age being older than T1w MRI-based brain age in participants transitioning…
• NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention Mechanisms
  3 Oct 2024 1 repository listed
  The promising outcomes of this study underscore NestedMorph's potential to significantly advance deformable medical image registration, providing a robust framework for future research and clinical applications.
• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans
  14 Sep 2024 1 repository listed
  The Orientation Distribution Function (ODF) characterizes key brain microstructural properties and plays an important role in understanding brain structural connectivity.
• DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
  11 Sep 2024 1 repository listed
  To do so, we design an evidence-based ensemble learning framework for uncertainty-aware parcellation to leverage the multiple dMRI parameters derived from diffusion MRI.
• Detailed delineation of the fetal brain in diffusion MRI via multi-task learning
  26 Aug 2024 1 repository listed
  In this work, we developed and validated a unified computational framework to (1) segment the brain tissue into white matter, cortical/subcortical gray matter, and cerebrospinal fluid, (2) segment 31 distinct white…
• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
  17 May 2024 1 repository listed
  However, this is non-trivial because correspondence between volumes can be severely disrupted due to volume-specific signal attenuations induced by varying directions and strengths of the applied gradients.
• Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data
  13 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We open-source our code and the trained Ambient Diffusion MRI models: https://github.
• ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation
  12 Sep 2023 1 repository listed
  Results: In simulations, ssVERDICT outperforms the baseline methods (NLLS and supervised DL) in estimating all the parameters from the VERDICT prostate model in terms of Pearson's correlation coefficient, bias, and MSE.
• Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction
  9 Aug 2023 1 repository listed
  In this study, we introduce a novel msEPI reconstruction approach called zero-MIRID (zero-shot self-supervised learning of Multi-shot Image Reconstruction for Improved Diffusion MRI).
• Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
  1 Jun 2023 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Diffusion MRI (dMRI) is a widely used imaging modality, but requires long scanning times to acquire high resolution datasets.
• E(3) ×SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
  12 Apr 2023 1 repository listed
  We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD), an E(3)×SO(3) equivariant framework for sparse deconvolution of volumes where each voxel contains a spherical signal.
• Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and Generalizability
  10 Mar 2023 1 repository listed
  Swin UNeTR enables rapid diffusion MRI with unprecedented accuracy and reliability, especially for probing biological tissues for scientific and clinical applications.
• Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes
  8 Dec 2022 1 repository listed
  We develop a generative model to learn low-dimensional representations of structural connectomes invariant to motion-induced artifacts, so that we can link brain networks and human traits more accurately, and generate…

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.