Harvard Catalyst Profiles

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Ian Pan, M.D.


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Kitamura FC, Pan I. Artificial Intelligence Class Activation Mapping of Bone Age. Radiology. 2022 Apr; 303(1):52-53. PMID: 35014902.
    Citations:    Fields:    
  2. Filice RW, Stein A, Pan I, Shih G. Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. J Digit Imaging. 2022 Apr; 35(2):335-339. PMID: 35018541.
    Citations:    Fields:    
  3. Yi T, Pan I, Collins S, Chen F, Cueto R, Hsieh B, Hsieh C, Smith JL, Yang L, Liao WH, Merck LH, Bai H, Merck D. DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. J Digit Imaging. 2021 12; 34(6):1405-1413. PMID: 34727303.
    Citations: 2     Fields:    Translation:Humans
  4. Kitamura FC, Pan I, Ferraciolli SF, Yeom KW, Abdala N. Clinical Artificial Intelligence Applications in Radiology: Neuro. Radiol Clin North Am. 2021 Nov; 59(6):1003-1012. PMID: 34689869.
    Citations:    Fields:    Translation:Humans
  5. Wang R, Cai Y, Lee IK, Hu R, Purkayastha S, Pan I, Yi T, Tran TML, Lu S, Liu T, Chang K, Huang RY, Zhang PJ, Zhang Z, Xiao E, Wu J, Bai HX. Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging. Eur Radiol. 2021 Nov; 31(11):8816. PMID: 33900434.
    Citations:    Fields:    
  6. Wang R, Jiao Z, Yang L, Choi JW, Xiong Z, Halsey K, Tran TML, Pan I, Collins SA, Feng X, Wu J, Chang K, Shi LB, Yang S, Yu QZ, Liu J, Fu FX, Jiang XL, Wang DC, Zhu LP, Yi XP, Healey TT, Zeng QH, Liu T, Hu PF, Huang RY, Li YH, Sebro RA, Zhang PJL, Wang J, Atalay MK, Liao WH, Fan Y, Bai HX. Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data. Eur Radiol. 2022 Jan; 32(1):205-212. PMID: 34223954.
    Citations: 5     Fields:    Translation:HumansCells
  7. Pan I. Deep Learning for Pulmonary Embolism Detection: Tackling the RSNA 2020 AI Challenge. Radiol Artif Intell. 2021 Sep; 3(5):e210068. PMID: 34617031.
  8. Leary OP, Merck LH, Yeatts SD, Pan I, Liu DD, Harder TJ, Jung S, Collins S, Braileanu M, Gokaslan ZL, Allen JW, Wright DW, Merck D. Computer-Assisted Measurement of Traumatic Brain Hemorrhage Volume Is More Predictive of Functional Outcome and Mortality than Standard ABC/2 Method: An Analysis of Computed Tomography Imaging Data from the Progesterone for Traumatic Brain Injury Experimental Clinical Treatment Phase-III Trial. J Neurotrauma. 2021 03; 38(5):604-615. PMID: 33191851.
    Citations:    Fields:    Translation:HumansCTClinical Trials
  9. He Y, Pan I, Bao B, Halsey K, Chang M, Liu H, Peng S, Sebro RA, Guan J, Yi T, Delworth AT, Eweje F, States LJ, Zhang PJ, Zhang Z, Wu J, Peng X, Bai HX. Deep learning-based classification of primary bone tumors on radiographs: A preliminary study. EBioMedicine. 2020 Dec; 62:103121. PMID: 33232868.
    Citations: 5     Fields:    Translation:Humans
  10. Wang R, Cai Y, Lee IK, Hu R, Purkayastha S, Pan I, Yi T, Tran TML, Lu S, Liu T, Chang K, Huang RY, Zhang PJ, Zhang Z, Xiao E, Wu J, Bai HX. Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging. Eur Radiol. 2021 Jul; 31(7):4960-4971. PMID: 33052463.
    Citations: 3     Fields:    Translation:Humans
  11. Pan I, Baird GL, Mutasa S, Merck D, Ruzal-Shapiro C, Swenson DW, Ayyala RS. Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs. Radiol Artif Intell. 2020 Jul; 2(4):e190198. PMID: 33937834.
    Citations: 3     
  12. Kitamura FC, Pan I, Kline TL. Reproducible Artificial Intelligence Research Requires Open Communication of Complete Source Code. Radiol Artif Intell. 2020 Jul; 2(4):e200060. PMID: 33937836.
    Citations: 5     
  13. Stib MT, Pan I, Merck D, Middleton WD, Beland MD. Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network. Ultrasound Q. 2020 Jun; 36(2):164-172. PMID: 32511208.
    Citations:    Fields:    Translation:Humans
  14. Takahashi MS, Ribeiro Furtado de Mendonça M, Pan I, Pinetti RZ, Kitamura FC. Regarding "Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach". Radiol Cardiothorac Imaging. 2020 Jun; 2(3):e200242. PMID: 33778590.
    Citations: 3     
  15. Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology. 2020 09; 296(3):E156-E165. PMID: 32339081.
    Citations: 103     Fields:    Translation:HumansCellsPHPublic Health
  16. Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, Pan I, Shi LB, Wang DC, Mei J, Jiang XL, Zeng QH, Egglin TK, Hu PF, Agarwal S, Xie FF, Li S, Healey T, Atalay MK, Liao WH. Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology. 2020 08; 296(2):E46-E54. PMID: 32155105.
    Citations: 416     Fields:    Translation:HumansCellsPHPublic Health
  17. Yao AD, Cheng DL, Pan I, Kitamura F. Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology. Radiol Artif Intell. 2020 Mar; 2(2):e190026. PMID: 33937816.
    Citations: 6     
  18. Pan I, Thodberg HH, Halabi SS, Kalpathy-Cramer J, Larson DB. Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge. Radiol Artif Intell. 2019 Nov 20; 1(6):e190053. PMID: 32090207.
    Citations: 11     
  19. Pan I, Agarwal S, Merck D. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks. J Digit Imaging. 2019 10; 32(5):888-896. PMID: 30838482.
    Citations: 6     Fields:    Translation:Humans
  20. Pan I, Cadrin-Chênevert A, Cheng PM. Tackling the Radiological Society of North America Pneumonia Detection Challenge. AJR Am J Roentgenol. 2019 09; 213(3):568-574. PMID: 31120793.
    Citations: 9     Fields:    Translation:Humans
  21. Halabi SS, Prevedello LM, Kalpathy-Cramer J, Mamonov AB, Bilbily A, Cicero M, Pan I, Pereira LA, Sousa RT, Abdala N, Kitamura FC, Thodberg HH, Chen L, Shih G, Andriole K, Kohli MD, Erickson BJ, Flanders AE. The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 2019 02; 290(2):498-503. PMID: 30480490.
    Citations: 50     Fields:    Translation:Humans
  22. Pan I, Nolan LB, Brown RR, Khan R, van der Boor P, Harris DG, Ghani R. Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois. Am J Public Health. 2017 06; 107(6):938-944. PMID: 28426306.
    Citations: 5     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.