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Publications

Imaging the structural connectome with hybrid MRI-microscopy tractography.

Journal article

Zhu S. et al, (2025), Med Image Anal, 102

Linking microscopy to diffusion MRI with degenerate biophysical models: an application of the Bayesian EstimatioN of CHange (BENCH) framework

Preprint

Kor DZL. et al, (2024)

Imaging the structural connectome with hybrid diffusion MRI-microscopy tractography

Preprint

Zhu S. et al, (2024)

Protocol for tissue processing and paraffin embedding of mouse brains following ex vivo MRI

Journal article

Smart A. et al, (2023), STAR Protocols, 4, 102681 - 102681

An open resource combining multi-contrast MRI and microscopy in the macaque brain

Journal article

Howard AFD. et al, (2023), Nature Communications, 14

Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data

Journal article

Huszar IN. et al, (2023), NeuroImage, 265, 119792 - 119792

An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons

Journal article

Kor DZL. et al, (2022), NeuroImage, 264, 119726 - 119726

The BigMac dataset: an open resource combining multi-contrast MRI and microscopy in the macaque brain

Preprint

Howard AFD. et al, (2022)

The Digital Brain Bank, an open access platform for post-mortem imaging datasets

Journal article

Tendler BC. et al, (2022), eLife, 11

An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons

Preprint

Kor DZL. et al, (2022)

Tensor Image Registration Library: Automated Deformable Registration of Stand-Alone Histology Images to Whole-Brain Post-Mortem MRI Data

Preprint

Huszar I. et al, (2022)

The Digital Brain Bank, an open access platform for post-mortem datasets

Preprint

Tendler B. et al, (2021)

Tensor Image Registration Library: Automated Non-Linear Registration of Sparsely Sampled Histological Specimens to Post-Mortem MRI of the Whole Human Brain

Other

Huszar IN. et al, (2019)