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GenTract: Generative Global Tractography

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2511.13183.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.13183 v2

Coverage vector

measured 40 of 40 reference resolution

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measured 40 of 40 standing notices

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measured 0 of 0 inbound itemization

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40 of 40 outbound references displayed

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Outbound references

Observation b2bcf58b-8a79-4c1a-8f92-aae93daf5ed2 · outbound

This paper cites Nvidia hopper h100 gpu: Scaling perfor- mance.IEEE Micro, 43(3), 2023.

GenTract: Generative Global Tractography Nvidia hopper h100 gpu: Scaling perfor- mance.IEEE Micro, 43(3), 2023

Reference 1

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Observation ef9adbbd-b01c-45f2-9f29-15906e9a6dcd · outbound

This paper cites Global tractogra- phy of multi-shell diffusion-weighted imaging data using a multi-tissue model.NeuroImage, 123, 2015.

GenTract: Generative Global Tractography Global tractogra- phy of multi-shell diffusion-weighted imaging data using a multi-tissue model.NeuroImage, 123, 2015

Reference 2

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Observation 1d670154-cc1f-4cbb-8280-9f11b6d2553f · outbound

This paper cites Dipy, a library for the analysis of diffusion MRI data.Frontiers in Neuroinformatics, 8, 2014.

GenTract: Generative Global Tractography Dipy, a library for the analysis of diffusion MRI data.Frontiers in Neuroinformatics, 8, 2014

Reference 3

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Observation c48b389e-6287-4580-9fc4-865d2c64b64a · outbound

This paper cites Global tractogra- phy.

GenTract: Generative Global Tractography Global tractogra- phy

Reference 4

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Observation 2ee659dd-58ad-448d-8ce9-4636dcb7ee87 · outbound

This paper cites Deterministic and probabilistic trac- tography based on complex fibre orientation distributions.

GenTract: Generative Global Tractography Deterministic and probabilistic trac- tography based on complex fibre orientation distributions

Reference 5

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Observation 1f992c0f-c342-4ea7-8421-a93f0a1aa790 · outbound

This paper cites The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants.

GenTract: Generative Global Tractography The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants

Reference 6

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Observation ea4311ba-206c-4b02-a820-2204583ee36a · outbound

This paper cites White matter in learning, cognition and psychiatric disorders.Trends in Neurosciences, 31(7), 2008.

GenTract: Generative Global Tractography White matter in learning, cognition and psychiatric disorders.Trends in Neurosciences, 31(7), 2008

Reference 7

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Observation 8a2f4b8d-9249-442a-ba50-eabe0d77382a · outbound

This paper cites A novel global tractography algorithm based on an adaptive spin glass model.

GenTract: Generative Global Tractography A novel global tractography algorithm based on an adaptive spin glass model

Reference 8

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Observation 6b03956c-1632-4f25-9fba-2818abb65ad2 · outbound

This paper cites White matter and cognition: making the connection.Journal of Neuro- physiology, 116(5), 2016.

GenTract: Generative Global Tractography White matter and cognition: making the connection.Journal of Neuro- physiology, 116(5), 2016

Reference 9

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Observation 22d061e1-c65e-4f06-95f9-024b733e23cc · outbound

This paper cites Diffusion Tensor MRI and Spherical-Deconvolution-Based Tractography on an Ultra-Low Field Portable MRI System.

GenTract: Generative Global Tractography Diffusion Tensor MRI and Spherical-Deconvolution-Based Tractography on an Ultra-Low Field Portable MRI System

Reference 10

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Observation 58b91438-4cb2-4129-8c87-08ab451a5a57 · outbound

This paper cites Maisi: Medi- cal ai for synthetic imaging.

GenTract: Generative Global Tractography Maisi: Medi- cal ai for synthetic imaging

Reference 11

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Observation 76f91f60-2593-44c4-8a30-008160a05524 · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems, 33, 2020.

GenTract: Generative Global Tractography Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems, 33, 2020

Reference 12

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Observation 873560f4-5be4-4760-bcff-dd48d8a4fd15 · outbound

This paper cites A bayesian framework for global tractography.

GenTract: Generative Global Tractography A bayesian framework for global tractography

Reference 13

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Observation d37d7f42-2fd2-4889-9e01-f9fa1630392d · outbound

This paper cites Diffusion MRI Fiber Tractography of the Brain.NMR in Biomedicine, 32(4), 2019.

GenTract: Generative Global Tractography Diffusion MRI Fiber Tractography of the Brain.NMR in Biomedicine, 32(4), 2019

Reference 14

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Observation c955f556-3ce9-401e-b42a-9e2be8a6e23b · outbound

This paper cites Advancements in diffusion MRI tractography for neuro- surgery.Investigative Radiology, 59(1), 2024.

GenTract: Generative Global Tractography Advancements in diffusion MRI tractography for neuro- surgery.Investigative Radiology, 59(1), 2024

Reference 15

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Observation dcf49120-8f65-4e54-ae1a-a7d84f321e9d · outbound

This paper cites Evaluating the reliability of human brain white matter trac- tometry.Aperture Neuro, 1(1), 2021.

GenTract: Generative Global Tractography Evaluating the reliability of human brain white matter trac- tometry.Aperture Neuro, 1(1), 2021

Reference 16

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Observation f6a0dda5-8ca2-40b7-8af7-983e07af60f4 · outbound

This paper cites Filtering in tractography using autoen- coders (FINTA).Medical Image Analysis, 72, 2021.

GenTract: Generative Global Tractography Filtering in tractography using autoen- coders (FINTA).Medical Image Analysis, 72, 2021

Reference 17

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Observation 944e3332-bd86-42d0-9d4d-c689c8d01271 · outbound

This paper cites DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling.arXiv preprint arXiv:2508.04568, 2025.

GenTract: Generative Global Tractography DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling.arXiv preprint arXiv:2508.04568, 2025

Reference 18

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Observation a78d2c57-5811-44ad-bb45-eaf5a8140641 · outbound

This paper cites Flow Matching for Generative Modeling.

GenTract: Generative Global Tractography Flow Matching for Generative Modeling

Reference 19

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Observation 4b3d3fbb-3c03-4252-936c-fcf0aae554da · outbound

This paper cites Aging of cerebral white matter.Ageing Research Reviews, 34, 2017.

GenTract: Generative Global Tractography Aging of cerebral white matter.Ageing Research Reviews, 34, 2017

Reference 20

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Observation 5656f17a-0f83-406d-aa33-11b4a7b751ed · outbound

This paper cites The challenge of mapping the human con- nectome based on diffusion tractography.Nature Communi- cations, 8(1), 2017.

GenTract: Generative Global Tractography The challenge of mapping the human con- nectome based on diffusion tractography.Nature Communi- cations, 8(1), 2017

Reference 21

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Observation fe7009e5-bfc3-4aa4-9d57-979af66c7430 · outbound

This paper cites A framework based on spin glass models for the inference of anatomical connec- tivity from diffusion-weighted MR data–a technical review.

GenTract: Generative Global Tractography A framework based on spin glass models for the inference of anatomical connec- tivity from diffusion-weighted MR data–a technical review

Reference 22

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Observation 7886128f-76f1-4a38-bbed-4069dd419209 · outbound

This paper cites Toward global tractography.NeuroImage, 80, 2013.

GenTract: Generative Global Tractography Toward global tractography.NeuroImage, 80, 2013

Reference 23

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Observation bbcebc69-a48d-4453-a8e3-02d9d1da6f53 · outbound

This paper cites Fiber tractography using machine learning.NeuroImage, 158,.

GenTract: Generative Global Tractography Fiber tractography using machine learning.NeuroImage, 158,

Reference 24

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Observation 560a1880-9eb5-4d74-9534-3de95c0c66a8 · outbound

This paper cites Scalable diffusion models with transformers.

GenTract: Generative Global Tractography Scalable diffusion models with transformers

Reference 25

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Observation 1b3b009c-e7f3-47f2-8ed2-b97a6ccc540f · outbound

This paper cites Generative AI for Medical Imaging: extending the MONAI Framework.

GenTract: Generative Global Tractography Generative AI for Medical Imaging: extending the MONAI Framework

Reference 26

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Observation 7c4475a6-0bb6-42a6-8422-0f14159b734d · outbound

This paper cites TractoInferno-A large-scale, open-source, multi-site database for machine learning dMRI tractography.

GenTract: Generative Global Tractography TractoInferno-A large-scale, open-source, multi-site database for machine learning dMRI tractography

Reference 27

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Observation 5dd5a580-4fde-4490-a7b8-6f606832be9c · outbound

This paper cites Global fiber reconstruction becomes practical.NeuroImage, 54(2), 2011.

GenTract: Generative Global Tractography Global fiber reconstruction becomes practical.NeuroImage, 54(2), 2011

Reference 28

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Observation 45a41619-9513-4584-b729-fe2bbfcf76f3 · outbound

This paper cites Current challenges and opportunities for tractography.

GenTract: Generative Global Tractography Current challenges and opportunities for tractography

Reference 29

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Observation d38e052a-6af8-428c-b79c-ba4f869d6872 · outbound

This paper cites Prevalence of white matter pathways com- ing into a single white matter voxel orientation: The bottle- neck issue in tractography.Human Brain Mapping, 43(4),.

GenTract: Generative Global Tractography Prevalence of white matter pathways com- ing into a single white matter voxel orientation: The bottle- neck issue in tractography.Human Brain Mapping, 43(4),

Reference 30

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Observation dad7e054-7e90-4a59-8188-64022d2571cc · outbound

This paper cites Sift: Spherical-deconvolution in- formed filtering of tractograms.NeuroImage, 67, 2013.

GenTract: Generative Global Tractography Sift: Spherical-deconvolution in- formed filtering of tractograms.NeuroImage, 67, 2013

Reference 31

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Observation b7a87304-8516-450f-87c3-6a3bd2f2164a · outbound

This paper cites Bundleseg: A versatile, reliable and reproducible approach to white matter bundle segmentation.

GenTract: Generative Global Tractography Bundleseg: A versatile, reliable and reproducible approach to white matter bundle segmentation

Reference 32

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Observation d575e354-922d-4778-a428-e488e9c28b7b · outbound

This paper cites Track-to-learn: A general framework for tractography with deep reinforcement learn- ing.Medical Image Analysis, 72, 2021.

GenTract: Generative Global Tractography Track-to-learn: A general framework for tractography with deep reinforcement learn- ing.Medical Image Analysis, 72, 2021

Reference 33

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Observation c7633c9e-bc38-4f03-82ed-82f0d7c48cb3 · outbound

This paper cites TractOracle: towards an anatomically-informed re- ward function for RL-based tractography.

GenTract: Generative Global Tractography TractOracle: towards an anatomically-informed re- ward function for RL-based tractography

Reference 34

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Observation 141074a2-0d4c-42f9-a4dd-9f1bcd4bf514 · outbound

This paper cites Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions.

GenTract: Generative Global Tractography Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions

Reference 35

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Observation cb73b2b1-4dcc-4f58-87a2-b49550d7a224 · outbound

This paper cites Mrtrix3: A fast, flexible and open software framework for medical image processing and visualisation.NeuroImage, 202, 2019.

GenTract: Generative Global Tractography Mrtrix3: A fast, flexible and open software framework for medical image processing and visualisation.NeuroImage, 202, 2019

Reference 36

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Observation 083ec913-f208-4adc-9308-818b342c64d4 · outbound

This paper cites The WU-Minn Human Con- nectome Project: an Overview.NeuroImage, 80, 2013.

GenTract: Generative Global Tractography The WU-Minn Human Con- nectome Project: an Overview.NeuroImage, 80, 2013

Reference 37

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Observation 0bc742c4-7b99-42d4-bb34-ae5ad7866dff · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017.

GenTract: Generative Global Tractography Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017

Reference 38

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no resolver link, observed 2026-08-03T21:56:12.937407Z

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Observation 88b74266-7b01-4a7d-8d67-fc7c3d998d4a · outbound

This paper cites Noise reduction in magni- tude diffusion-weighted images using spatial similarity and diffusion redundancy.Magnetic Resonance Imaging, 118,.

GenTract: Generative Global Tractography Noise reduction in magni- tude diffusion-weighted images using spatial similarity and diffusion redundancy.Magnetic Resonance Imaging, 118,

Reference 39

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no resolver link, observed 2026-08-03T21:56:12.939513Z

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Observation ae400bf0-f6ba-412d-9ea4-9f52494d4036 · outbound

This paper cites Think deep in the trac- tography game: deep learning for tractography computing and analysis.Brain Structure and Function, 230(6), 2025.

GenTract: Generative Global Tractography Think deep in the trac- tography game: deep learning for tractography computing and analysis.Brain Structure and Function, 230(6), 2025

Reference 40

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Pith citing papers

No inbound Pith citation observations are available.