Evidence map›Paper›PMID 40444168›Full record

ArticleComputational diffusion MRI. CDMRI (Workshop)2025

QID

Zijian Chen, Jueqi Wang, Archana Venkataraman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational diffusion MRI. CDMRI (Workshop), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zijian ChenDepartment of Electrical and Computer Engineering, Boston University.
Jueqi WangDepartment of Electrical and Computer Engineering, Boston University.
Archana VenkataramanDepartment of Electrical and Computer Engineering, Boston University.

Funding

Statistical methods for structural and functional integration in multi-modal neuroimaging dataR01EB029977 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI CAFFO, BRIAN SCOTT · 2021 to 2024
$1.9M
A Modular Framework for Data-Driven Neurogenetics to Predict Complex and Multidimensional Autistic PhenotypesR01HD108790 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Archana Venkataraman · 2022 to 2026
$1.9M
Automated Presurgical Language Mapping via Deep Learning for Multimodal Brain ConnectivityR21CA263804 · NCI · JOHNS HOPKINS UNIVERSITY · PI VANNORSDALL, TRACY DAWN · 2021 to 2022
$402k
NCI NIH HHS R21 CA263804NIBIB NIH HHS R01 EB029977NICHD NIH HHS R01 HD108790
6 · The paper itself

Abstract

We propose an image-conditioned diffusion model to estimate high angular resolution diffusion weighted imaging (DWI) from a low angular resolution acquisition. Our model, which we call QID

Indexed as

Deep LearningDiffusion ModelsDiffusion Weighted ImagingQ-Space Up-samplingTensor Reconstruction

Identifiers

PMID40444168
PMCPMC12122016

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.