Article in Radiology. Artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
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
9 authors.
Eddy SolomonFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0001-9204-4518
Patricia M JohnsonFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0003-1547-9969
Zhengguo TanFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0002-4322-5109
Radhika TibrewalaFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0002-3837-1144
Yvonne W LuiFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0002-9984-9164
Florian KnollFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0001-5357-8656
Linda MoyFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0001-9564-9360
Sungheon Gene KimFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0002-6288-0678
Laura HeacockFrom the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).ORCID 0000-0002-0900-0459
Funding
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
Gradient-Echo Spectroscopic Imaging Study of Saturated Fat and Breast CancerR01CA219964 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE, MOY, LINDA · 2018 to 2022
$2.3M
Diffusion MRI of Treatment Response for De-escalation of Radiation TherapyUH3CA228699 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2021 to 2023
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.
FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI. · full record | OpenQuestion