Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:22:38.092286Z
Paper Citation Record · LEDGER
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices
As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.14722.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
44 of 44 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d74f0b33-d2a2-4674-9a66-d29c87297bdc · outbound
This paper cites Mapping human brain charts cross-sectionally and longitudinally.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Mapping human brain charts cross-sectionally and longitudinally
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 105b34d0-c2d1-4445-b8b0-ea7e34f12b7f · outbound
This paper cites Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case- Control Studies.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case- Control Studies
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.655940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 167db295-5e7f-43c7-8b19-45bc841d1eef · outbound
This paper cites Evidence for embracing normative modeling.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Evidence for embracing normative modeling
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 24a13199-6e69-4912-8b80-3d9561c406fc · outbound
This paper cites Beyond the average patient: how neu- roimaging models can address heterogeneity in dementia.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Beyond the average patient: how neu- roimaging models can address heterogeneity in dementia
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.631239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3a4c9202-79a1-49db-8ea7-be590fd46640 · outbound
This paper cites Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 649fe990-59fe-4585-92ce-cb80eb25f66c · outbound
This paper cites Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac75514a-8fcc-46c7-b25e-354b831ae1af · outbound
This paper cites Image harmonization: A review of statis- tical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Image harmonization: A review of statis- tical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.594507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 32df18bd-eae9-453d-a2bb-807e5c775e65 · outbound
This paper cites Multi-Site Harmonization of Dif- fusion MRI Data via Method of Moments.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Multi-Site Harmonization of Dif- fusion MRI Data via Method of Moments
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.582633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4cc6f1c1-f78c-4601-808a-1b4254a8f26e · outbound
This paper cites Scanner invariant representations for diffusion MRI harmonization.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Scanner invariant representations for diffusion MRI harmonization
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d3e477c2-b57a-46c5-aea8-dd4d56854f0e · outbound
This paper cites Schilling et al.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Schilling et al
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.559883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0929045-98c8-439f-b161-9c5bb5a38315 · outbound
This paper cites Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation df2eca73-82dd-4581-91c7-35078f50f8e4 · outbound
This paper cites Multi-site study of diffusion metric variability: effects of site, vendor, field strength, and echo time on regions-of-interest and histogram-bin analyses.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Multi-site study of diffusion metric variability: effects of site, vendor, field strength, and echo time on regions-of-interest and histogram-bin analyses
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.537291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 678cdd88-5b47-4b55-a224-e78223594106 · outbound
This paper cites Harmonization of Brain Diffu- sion MRI: Concepts and Methods.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Harmonization of Brain Diffu- sion MRI: Concepts and Methods
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.525530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cf9a464b-b70c-4493-980e-531e6177d714 · outbound
This paper cites Mitigating site effects in covariance for machine learning in neuroimaging data.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Mitigating site effects in covariance for machine learning in neuroimaging data
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.513508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 21be8128-e510-479a-8cb5-4cd6801a1ee6 · outbound
This paper cites Cross-site harmonization of multi- shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH).
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Cross-site harmonization of multi- shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.500943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6f65394e-1192-4707-8fa3-99b5da3247e3 · outbound
This paper cites Generalized ComBat harmonization methods for radiomic features with multi-modal distribu- tions and multiple batch effects.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Generalized ComBat harmonization methods for radiomic features with multi-modal distribu- tions and multiple batch effects
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.486977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ed7a2ff8-9539-4a4a-a221-96d87a2f7565 · outbound
This paper cites DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Har- monization of Neuroimaging Data.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Har- monization of Neuroimaging Data
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.475269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 826a83b4-b1d7-430f-b0be-97579f01679a · outbound
This paper cites Adjusting batch effects in microarray expression data using empirical Bayes methods.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Adjusting batch effects in microarray expression data using empirical Bayes methods
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.462937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 342019fe-aa99-471b-b64b-c05702ada056 · outbound
This paper cites Harmonization of multi-site diffusion tensor imaging data.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Harmonization of multi-site diffusion tensor imaging data
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.450103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1a8acd68-34fa-4cac-8341-3b36ecf3ecf9 · outbound
This paper cites Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.437597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8ccdd2da-6b2f-4217-8421-89b79e3c2f99 · outbound
This paper cites Retrospective harmoniza- tion of multi-site diffusion MRI data acquired with differ- ent acquisition parameters.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Retrospective harmoniza- tion of multi-site diffusion MRI data acquired with differ- ent acquisition parameters
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.424786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c7476ac1-cb7f-47e3-bdd9-30a791394b09 · outbound
This paper cites Harmonization of cortical thick- ness measurements across scanners and sites.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Harmonization of cortical thick- ness measurements across scanners and sites
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.412375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e8683c98-f51a-4389-8468-e87ef38a30c0 · outbound
This paper cites Increased power by harmoniz- ing structural MRI site differences with the ComBat batch adjustment method in ENIGMA.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Increased power by harmoniz- ing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.399600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c8228414-cc81-4536-81eb-54756bc669b5 · outbound
This paper cites MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffu- sion weighted MRI.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffu- sion weighted MRI
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.387372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 17ed55b8-c8ac-4610-adc1-0b8173573663 · outbound
This paper cites Impact of ComBat harmonization on PET radiomics-based tissue classification: a dual-center PET/MRI and PET/CT study.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Impact of ComBat harmonization on PET radiomics-based tissue classification: a dual-center PET/MRI and PET/CT study
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.374585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0cd29de8-7948-4422-86f4-e093428b5cb8 · outbound
This paper cites Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.362924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6f4afb11-7a7f-493a-ac00-d1e416da56b9 · outbound
This paper cites AutoComBat: a generic method for harmonizing MRI-based radiomic features.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices AutoComBat: a generic method for harmonizing MRI-based radiomic features
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.350906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6d9e6cea-fd7e-4942-affc-18d4070f7104 · outbound
This paper cites Performance comparison of modified Com- Bat for harmonization of radiomic features for multicenter studies.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Performance comparison of modified Com- Bat for harmonization of radiomic features for multicenter studies
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.338458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c953a532-af89-431f-abd7-a14250bdd291 · outbound
This paper cites Harmonization of large MRI datasets for the analysis of brain imaging patterns through- out the lifespan.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Harmonization of large MRI datasets for the analysis of brain imaging patterns through- out the lifespan
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.324997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8fde2c0c-393a-4dc0-a648-130b5e47d057 · outbound
This paper cites Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.312184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bf92dcd0-6108-494b-b198-7b0784db4a9e · outbound
This paper cites Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.298950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c73368c8-7a18-42bb-bc64-73dd75b49efb · outbound
This paper cites A guide to ComBat harmonization of imaging biomarkers in multicenter studies.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices A guide to ComBat harmonization of imaging biomarkers in multicenter studies
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.284814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fe83f501-0d8d-43f9-a4fd-c00737c08cf0 · outbound
This paper cites Sample size requirement for achiev- ing multisite harmonization using structural brain MRI features.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Sample size requirement for achiev- ing multisite harmonization using structural brain MRI features
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e9a96bd9-daf8-48d2-84f0-77a81858c66d · outbound
This paper cites The Cambridge Centre for Age- ing and Neuroscience (Cam-CAN) study protocol: a cross- sectional, lifespan, multidisciplinary examination of healthy cognitive ageing.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices The Cambridge Centre for Age- ing and Neuroscience (Cam-CAN) study protocol: a cross- sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d6df3c87-9dda-465a-9d36-da5c75b93a41 · outbound
This paper cites The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross- sectional adult lifespan sample.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross- sectional adult lifespan sample
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.246487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a5e821d7-7824-452f-883c-a2510372ac2f · outbound
This paper cites Clinical core of the Alzheimer’s disease neuroimaging initiative: Progress and plans.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Clinical core of the Alzheimer’s disease neuroimaging initiative: Progress and plans
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.234588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d8250558-8a2c-4d1f-ab4c-8337bdda07b8 · outbound
This paper cites The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data from a Clinical Investigation of Schizophrenia.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data from a Clinical Investigation of Schizophrenia
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.222208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c78fa69f-28de-44af-ba0c-dbb1efe9b915 · outbound
This paper cites Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.209090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fb3e0cd9-b300-4680-b2f4-b335206d9801 · outbound
This paper cites The NIMH Healthy Research Volun- teer Dataset.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices The NIMH Healthy Research Volun- teer Dataset
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.194677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1d066ed8-0890-45f0-9748-6efff38170d5 · outbound
This paper cites TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.179925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation abc110f8-a823-4851-8367-8d031264fa35 · outbound
This paper cites Deterministic and probabilistic tractography based on complex fibre orientation distribu- tions.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Deterministic and probabilistic tractography based on complex fibre orientation distribu- tions
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.167376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e096521b-270d-4841-845b-4edacd56e764 · outbound
This paper cites Regionconnect: Rapidly extracting standardized brain connectivity informa- tion in voxel-wise neuroimaging studies.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Regionconnect: Rapidly extracting standardized brain connectivity informa- tion in voxel-wise neuroimaging studies
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.154432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 69522ea7-492c-481f-a2de-d9a63aa059ac · outbound
This paper cites Empirical assessment of the assump- tions of ComBat with diffusion tensor imaging.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Empirical assessment of the assump- tions of ComBat with diffusion tensor imaging
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.141043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c649fed1-23e1-4fc0-a89a-b8fb0a65fc42 · outbound
This paper cites Volumetric analysis from a har- monized multisite brain MRI study of a single subject with multiple sclerosis.
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices Volumetric analysis from a har- monized multisite brain MRI study of a single subject with multiple sclerosis
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:22:38.128308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.