Evidence map›Paper›PMID 39129209›Full record

ArticleMagnetic resonance in medicine2024

DeepEMC-T

Haoyang Pei, Timothy M Shepherd, Yao Wang, Fang Liu, Daniel K Sodickson, Noam Ben-Eliezer, Li Feng

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Combined ADC and TMagnetic resonance in medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Haoyang PeiBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0009-0007-9258-673X
Timothy M ShepherdBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Yao WangDepartment of Electrical and Computer Engineering and Department of Biomedical Engineering, New York University Tandon School of Engineering, New York, New York, USA.
Fang LiuAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-8032-6681
Daniel K SodicksonBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Noam Ben-EliezerBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-2944-6412
Li FengBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-8692-7645

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Deep Learning Technology for Rapid Morphological and Quantitative Imaging of Knee PathologyR01AR079442 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Fang Liu · 2022 to 2026
$2.2M
Rapid Three-dimensional Simultaneous Knee Multi-Relaxation MappingR01AR081344 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Fang Liu · 2022 to 2026
$2.0M
Rapid Motion-Robust and Easy-to-Use Dynamic Contrast-Enhanced MRI for Liver Perfusion QuantificationR01EB030549 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FENG, LI · 2021 to 2024
$1.7M
Rapid Structure-Function MRI of the Lung for Post-COVID-19 ManagementR01EB031083 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FENG, LI · 2021 to 2021
$1.5M
Deep Learning Reconstruction for Rapid Multi-Component RelaxometryR21EB031185 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI LIU, FANG · 2022 to 2024
$690k
3D Free-Breathing Fat and Iron Corrected T1 MappingR21EB032917 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FENG, LI · 2022 to 2023
$465k
NIAMS NIH HHS R01 AR079442NIAMS NIH HHS R01 AR081344NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB030549NIBIB NIH HHS R01 EB031083NIBIB NIH HHS R21 EB031185NIBIB NIH HHS R21 EB032917
6 · The paper itself

Abstract

purposeEcho modulation curve (EMC) modeling enables accurate quantification of T

methodsDeepEMC-T

resultsCompared to the reference, DeepEMC-T

conclusionsDeepEMC-T

Indexed as

AlgorithmsDeep LearningImage Processing, Computer-AssistedMagnetic Resonance ImagingBrainHumansdeep learningecho modulation curvemulti‐echo spin‐echoquantitative MRIT2 mapping

Identifiers

PMID39129209
PMCPMC11436299

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.