Tara Retson • UCSD Profiles (original) (raw)

  1. Amplifying signal-to-noise: Responsible use of large language models in radiology publishing. Clin Imaging. 2026 Jan; 129:110679. Song AS, Masutani EM, Tejani AS, Retson TA. PMID: 41308492; PMCID: PMC12928988.
    View in: PubMed Mentions: Fields:
  2. Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge. Radiology. 2025 Aug; 316(2):e241447. Chen Y, Partridge GJW, Vazirabad M, Ball RL, Trivedi HM, Kitamura FC, Frazer HML, Retson TA, Yao L, Darker IT, Kelil T, Mongan J, Mann RM, Moy L. PMID: 40793948.
    View in: PubMed Mentions: 2 Fields:
    Translation:Humans
  3. Potential Impact of an Artificial Intelligence-based Mammography Triage Algorithm on Performance and Workload in a Population-based Screening Sample. J Breast Imaging. 2025 Jan 25; 7(1):45-53. Watanabe AT, Vu H, Chim CY, Litt AW, Retson T, Mayo RC. PMID: 39245042.
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    Translation:HumansPHPublic Health
  4. Do Not Miss Architectural Distortion. Radiographics. 2024 09; 44(9):e240024. Retson T, Kocher P, Anaam D, Fazeli S, Eghtedari M, Ojeda-Fournier H. PMID: 39207923.
    View in: PubMed Mentions: 1 Fields:
  5. Mammographic Breast Density Model Using Semi-Supervised Learning Reduces Inter-/Intra-Reader Variability. Diagnostics (Basel). 2023 Aug 16; 13(16). Watanabe AT, Retson T, Wang J, Mantey R, Chim C, Karimabadi H. PMID: 37627953; PMCID: PMC10453732.
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  6. Expanding Horizons: The Realities of CAD, the Promise of Artificial Intelligence, and Machine Learning's Role in Breast Imaging beyond Screening Mammography. Diagnostics (Basel). 2023 Jun 21; 13(13). Retson TA, Eghtedari M. PMID: 37443526; PMCID: PMC10341264.
    View in: PubMed Mentions: 6
  7. Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI Solution. Radiology. 2023 05; 307(3):e230580. Tejani AS, Retson TA, Moy L, Cook TS. PMID: 36943081; PMCID: PMC10140635.
    View in: PubMed Mentions: 4 Fields:
    Translation:Humans
  8. Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc. 2022 12; 19(12):1993-2002. Yuan NF, Hasenstab K, Retson T, Conrad DJ, Lynch DA, Hsiao A. PMID: 35830591.
    View in: PubMed Mentions: 2 Fields:
    Translation:Humans
  9. Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage. J Breast Imaging. 2022 Oct 10; 4(5):488-495. Retson TA, Watanabe AT, Vu H, Chim CY. PMID: 38416951.
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  10. Erratum: Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiol Cardiothorac Imaging. 2022 Feb; 4(1):e219002. Hasenstab KA, Yuan N, Retson T, Conrad DJ, Kligerman S, Lynch DA, Hsiao A, COPDGene Investigators. PMID: 35782763; PMCID: PMC8893205.
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  11. Erratum: CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT. Radiol Artif Intell. 2022 Jan; 4(1):e219003. Hasenstab KA, Tabalon J, Yuan N, Retson T, Hsiao A. PMID: 35157746; PMCID: PMC8823453.
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  12. Reader Perceptions and Impact of AI on CT Assessment of Air Trapping. Radiol Artif Intell. 2022 Mar; 4(2):e210160. Retson TA, Hasenstab KA, Kligerman SJ, Jacobs KE, Yen AC, Brouha SS, Hahn LD, Hsiao A. PMID: 35391767; PMCID: PMC8980862.
    View in: PubMed Mentions: 4 Fields:
  13. CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT. Radiol Artif Intell. 2022 Jan; 4(1):e210211. Hasenstab KA, Tabalon J, Yuan N, Retson T, Hsiao A. PMID: 35146437; PMCID: PMC8823452.
    View in: PubMed Mentions: 5 Fields:
  14. Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiol Cardiothorac Imaging. 2021 Apr; 3(2):e200477. Hasenstab KA, Yuan N, Retson T, Conrad DJ, Kligerman S, Lynch DA, Hsiao A, COPDGene Investigators. PMID: 33969307; PMCID: PMC8098086.
    View in: PubMed Mentions: 26 Fields:
  15. Quantification of hemodynamics of cerebral arteriovenous malformations after stereotactic radiosurgery using 4D flow magnetic resonance imaging. J Magn Reson Imaging. 2021 06; 53(6):1841-1850. Srinivas S, Retson T, Simon A, Hattangadi-Gluth J, Hsiao A, Farid N. PMID: 33354852; PMCID: PMC9048767.
    View in: PubMed Mentions: 4 Fields:
    Translation:Humans
  16. Clinical Performance and Role of Expert Supervision of Deep Learning for Cardiac Ventricular Volumetry: A Validation Study. Radiol Artif Intell. 2020 Jul 08; 2(4):e190064. Retson TA, Masutani EM, Golden D, Hsiao A. PMID: 32797119; PMCID: PMC7392063.
    View in: PubMed Mentions: 7 Fields:
  17. Posttraumatic subarachnoid fat embolism: Case presentation and literature review. Clin Imaging. 2020 Dec; 68:121-123. Chaturvedi R, Williams A, Farid N, Retson T, Smitaman E. PMID: 32592972; PMCID: PMC8898051.
    View in: PubMed Mentions: 1 Fields:
    Translation:Humans
  18. Deep Learning-based Prescription of Cardiac MRI Planes. Radiol Artif Intell. 2019 Nov 27; 1(6):e180069. Blansit K, Retson T, Masutani E, Bahrami N, Hsiao A. PMID: 32090204; PMCID: PMC6884027.
    View in: PubMed Mentions: 28 Fields:
  19. Automated Segmentation of Tissues Using CT and MRI: A Systematic Review. Acad Radiol. 2019 12; 26(12):1695-1706. Lenchik L, Heacock L, Weaver AA, Boutin RD, Cook TS, Itri J, Filippi CG, Gullapalli RP, Lee J, Zagurovskaya M, Retson T, Godwin K, Nicholson J, Narayana PA. PMID: 31405724; PMCID: PMC6878163.
    View in: PubMed Mentions: 57 Fields:
    Translation:Humans
  20. Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging. J Thorac Imaging. 2019 May; 34(3):192-201. Retson TA, Besser AH, Sall S, Golden D, Hsiao A. PMID: 31009397; PMCID: PMC7962152.
    View in: PubMed Mentions: 27 Fields:
    Translation:Humans
  21. Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network. Radiol Artif Intell. 2019 Mar; 1(2). Wang K, Mamidipalli A, Retson T, Bahrami N, Hasenstab K, Blansit K, Bass E, Delgado T, Cunha G, Middleton MS, Loomba R, Neuschwander-Tetri BA, Sirlin CB, Hsiao A, members of the NASH Clinical Research Network. PMID: 32582883; PMCID: PMC7314107.
    View in: PubMed Mentions: 63 Fields:
  22. Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET). Magn Reson Med. 2019 05; 81(5):3283-3291. Bahrami N, Retson T, Blansit K, Wang K, Hsiao A. PMID: 30714197; PMCID: PMC7962153.
    View in: PubMed Mentions: 16 Fields:
    Translation:Humans
  23. Alcohol-induced dysregulation of stress-related circuitry: The search for novel targets and implications for interventions across the sexes. Prog Neuropsychopharmacol Biol Psychiatry. 2016 Feb 04; 65:252-9. Retson TA, Sterling RC, Van Bockstaele EJ. PMID: 26006055; PMCID: PMC4656147.
    View in: PubMed Mentions: 15 Fields:
    Translation:HumansAnimals
  24. Chronic alcohol exposure differentially affects activation of female locus coeruleus neurons and the subcellular distribution of corticotropin releasing factor receptors. Prog Neuropsychopharmacol Biol Psychiatry. 2015 Jan 02; 56:66-74. Retson TA, Reyes BA, Van Bockstaele EJ. PMID: 25149913; PMCID: PMC4258542.
    View in: PubMed Mentions: 19 Fields:
    Translation:AnimalsCells
  25. Amygdalar neuronal plasticity and the interactions of alcohol, sex, and stress. Brain Struct Funct. 2015 Nov; 220(6):3211-32. Retson TA, Hoek JB, Sterling RC, Van Bockstaele EJ. PMID: 25081549; PMCID: PMC4312755.
    View in: PubMed Mentions: 20 Fields:
    Translation:Animals
  26. Coordinate regulation of noradrenergic and serotonergic brain regions by amygdalar neurons. J Chem Neuroanat. 2013 Sep; 52:9-19. Retson TA, Van Bockstaele EJ. PMID: 23651691; PMCID: PMC3775932.
    View in: PubMed Mentions: 11 Fields:
    Translation:AnimalsCells

This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.

This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.

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