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B Selnur Erdal, Ph.D.

  1. Radiologic Technologist
预约门诊

出版物

  1. Gupta V, Erdal B, Ramirez C, Floca R, Genereaux B, Bryson S, Bridge C, Kleesiek J, Nensa F, Braren R, Younis K, Penzkofer T, Bucher AM, Qin MM, Bae G, Lee H, Cardoso MJ, Ourselin S, Kerfoot E, Choudhury R, White RD, Cook T, Bericat D, Lungren M, Haukioja R, Shuaib H. Current State of Community-Driven Radiological AI Deployment in Medical Imaging. JMIR AI. 2024 Dec 9; 3:e55833 Epub 2024 Dec 09
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  2. Testagrose CT, Gupta V, Erdal BS, White RD, Maxwell RW, Liu X, Kahanda I, Elfayoumy S, Klostermeyer W, Demirer M. Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3 BCB '23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. 2023; 25:1-6.
  3. Lin MP, Demirer M, Middlebrooks EH, Tawk RG, Erben YM, Mateti NR, Youssef H, Anisetti B, Elkhair AM, Gupta V, Erdal BS, Barrett KM, Brott TG, Meschia JF. Greater burden of white matter lesions and silent infarcts ipsilateral to carotid stenosis. J Stroke Cerebrovasc Dis. 2023 Sep; 32 (9):107287 Epub 2023 July 31
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  4. Testagrose C, Gupta V, Erdal B, White R, Maxwell R, Liu X, Kahanda I, Elfayoumy S, Klostermeyer W, Demirer M. Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception V3 and ViT Proceedings of the International Conference on Bioinformatics and Biomedicine (BIBM). 2022.
  5. White RD, Demirer M, Gupta V, Sebro RA, Kusumoto FM, Erdal BS. Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions. J Med Imaging (Bellingham). 2022 Sep; 9 (5):054504 Epub 2022 Oct 26
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  6. Rockenbach MABC, Buch V, Gupta V, Kotecha GK, Laur O, Erdal BS, Yang D, Xu D, Ghoshajra BB, Flores MG, Dayan I, Roth H, White RD. Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations Intelligence-Based Medicine. 2022; 6.
  7. Crouser ED, Smith RM, Culver DA, Julian MW, Martin K, Baran J, Diaz C, Erdal BS, Hade EM. A Pilot Randomized Trial of Transdermal Nicotine for Pulmonary Sarcoidosis. Chest. 2021 Oct; 160 (4):1340-1349 Epub 2021 May 23
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  8. Gupta V, Taylor C, Bonnet S, Prevedello LM, Hawley J, White RD, Flores MG, Erdal BS. Deep Learning Based Automatic Detection of Adequately Positioned Mammograms Lecture Notes in Computer Science: Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. 2021; 12968:239-250.
  9. White RD, Erdal BS, Demirer M, Gupta V, Bigelow MT, Dikici E, Candemir S, Galizia MS, Carpenter JL, O'Donnell TP, Halabi AH, Prevedello LM. Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. J Digit Imaging. 2021 Jun; 34 (3):554-571 Epub 2021 Mar 31
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  10. Dikici E, Bigelow M, White RD, Erdal BS, Prevedello LM. Constrained generative adversarial network ensembles for sharable synthetic medical images. J Med Imaging (Bellingham). 2021 Mar; 8 (2):024004 Epub 2021 Apr 10
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  11. Kofina V, Demirer M, Erdal BS, Eubank TD, Yildiz VO, Tatakis DN, Leblebicioglu B. Bone grafting history affects soft tissue healing following implant placement. J Periodontol. 2021 Feb; 92 (2):234-243 Epub 2020 Aug 19
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  12. Nguyen XV, Candemir S, Erdal BS, White RD, Prevedello LM. Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data. Alzheimer Dis Assoc Disord. 2020 Sep 9 Epub 2020 Sept 09
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  13. Erdal BS, Demirer M, Little KJ, Amadi CC, Ibrahim GFM, O'Donnell TP, Grimmer R, Gupta V, Prevedello LM, White RD. Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters? PLoS One. 2020; 15 (10):e0240184 Epub 2020 Oct 15
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  14. Candemir S, White RD, Demirer M, Gupta V, Bigelow MT, Prevedello LM, Erdal BS. Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. Comput Med Imaging Graph. 2020 Jul; 83:101721. Epub 2020 Apr 27.
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  15. Candemir S, Nguyen XV, Prevedello LM, Bigelow MT, White RD, Erdal BS, Alzheimer's Disease Neuroimaging Initiative. Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis. J Med Imaging (Bellingham). 2020 Jul; 7 (4):044501 Epub 2020 Aug 12
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  16. Gupta V, Demirer M, Bigelow M, Little KJ, Candemir S, Prevedello LM, White RD, O'Donnell TP, Wels M, Erdal BS. Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. J Digit Imaging. 2020 Apr; 33(2):431-438.
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  17. Dikici E, Ryu JL, Demirer M, Bigelow M, White RD, Slone W, Erdal BS, Prevedello LM. Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. IEEE J Biomed Health Inform. 2020 Mar 23. [Epub ahead of print]
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  18. Yu JS, Yu SM, Erdal BS, Demirer M, Gupta V, Bigelow M, Salvador A, Rink T, Lenobel SS, Prevedello LM, White RD. Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept. Clin Radiol. 2020 Mar; 75(3):237.e1-237.e9. Epub 2019 Nov 29.
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  19. Dikici E, Prevedello LM, Bigelow M, White RD, Erdal BS. Constrained generative adversarial network ensembles for sharable synthetic data generation https://arxiv.org/abs/2003.00086. 2020.
  20. Dikici E, Bigelow M, Prevedello LM, White RD, Erdal BS. Integrating AI into radiology workflow: levels of research, production, and feedback maturity. J Med Imaging (Bellingham). 2020 Jan; 7(1):016502. Epub 2020 Feb 11.
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  21. Gupta V, Demirer M, Bigelow M, Yu SM, Yu JS, Prevedello LM, White RD, Erdal BS. Using transfer learning and class activation maps supporting detection and localization of femoral fractures on anteroposterior radiographs IEEE Engineering in Medicine and Biology Society 2020. 2020; 1526-1529.
  22. Roth HR, Chang K, Singh P, Neumark N, Li W, Gupta V, Gupta S, Qu L, Ihsani A, Bizzo BC, Wen Y, Buch V, Shah M, Kitamura F, Mendonca M, Lavor V, Harouni A, Compas C, Tetreault J, Dogra P, Cheng Y, Erdal S, White RD, Hashemian B, Schultz T, Zhang M, McCarthy A, Yun BM, Sharaf E, Hoebel KV, Patel JB, Chen B, Ko S, Leibovitz E, Pisano ED, Coombs L, Xu D, Dreyer KJ, Dayan I, Naidu RC, Flores M, Rubin D, Kalpathy-Cramer J. Federated learning for breast density classification: A real-world implementation. Springer’s Lecture Notes https://arxiv.org/abs/2009.01871. 2020.
  23. Roth HR, Chang K, Singh P, Neumark N, Li W, Gupta V, Gupta S, Qu L, Ihsani A, Bizzo BC, Wen Y, Buch V, Shah M, Kitamura F, Mendonca M, Lavor V, Harouni A, Compas C, Tetreault J, Dogra P, Cheng Y, Erdal S, White RD, Hashemian B, Schultz T, Zhang M, McCarthy A, Yun BM, Sharaf E, Hoebel KV, Patel JB, Chen B, Ko S, Leibovitz E, Pisano ED, Coombs L, Xu D, Dreyer KJ, Dayan I, Naidu RC, Flores M, Rubin D, Kalpathy-Cramer J. Federated learning for breast density classification: A real-world implementation Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. DART 2020, DCL 2020. Lecture Notes in Computer Science. 2020; 12444.
  24. Demirer M, Candemir S, Bigelow MT, Yu SM, Gupta V, Prevedello LM, White RD, Yu JS, Grimmer R, Wels M, Wimmer A, Halabi AH, Ihsani A, O'Donnell TP, Erdal BS. A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence. Radiol Artif Intell. 2019 Nov; 1 (6):e180095 Epub 2019 Nov 27
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  25. Dikici E, Ryu JL, Demirer M, Bigelow M, White RD, Slone HW, Erdal BS, Prevedello LM. Automated brain metastases detection framework for T1-weighted contrast-enhanced 3D MRI Cornell University arXiv.org. 2019; arXiv:2108.11954 [eess.IV].
  26. Hawley JR, Kang-Chapman JK, Bonnet SE, Kerger AL, Taylor CR, Erdal BS. Diagnostic Accuracy of Digital Breast Tomosynthesis in the Evaluation of Palpable Breast Abnormalities. Acad Radiol. 2018 Mar; 25 (3):297-304 Epub 2017 Nov 23
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  27. Erdal BS, Prevedello LM, Qian S, Demirer M, Little K, Ryu J, O'Donnell T, White RD. Radiology and Enterprise Medical Imaging Extensions (REMIX). J Digit Imaging. 2018 Feb; 31 (1):91-106
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  28. Prevedello LM, Erdal BS, Ryu JL, Little KJ, Demirer M, Qian S, White RD. Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging. Radiology. 2017 Dec; 285 (3):923-931 Epub 2017 July 03
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  29. Alssum L, Eubank TD, Roy S, Erdal BS, Yildiz VO, Tatakis DN, Leblebicioglu B. Gingival Perfusion and Tissue Biomarkers During Early Healing of Postextraction Regenerative Procedures: A Prospective Case Series. J Periodontol. 2017 Nov; 88 (11):1163-1172 Epub 2017 June 23
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  30. Demirer M, Erdal S, Qian S, Prevedello LM, White RD, Demirer AA, Erdal BS. A decision support system for determination of epidermal growth factor receptor mutation status in adenocarcinoma of the lung from computed tomography images Smyrna Medical Journal. 2016.
  31. Hawley JR, Taylor CR, Cubbison AM, Erdal BS, Yildiz VO, Carkaci S. Influences of Radiology Trainees on Screening Mammography Interpretation. J Am Coll Radiol. 2016 May; 13 (5):554-61 Epub 2016 Feb 28
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  32. Letham JO, Erdal BS, Mo X, Salamekh S, Ayan A, Williams TM, Haglund KE, Prevedello LM, Bazan JG, White RD, Welliver MX. Texture features of kilovolt cone beam CT (kvCBCT) during stereotactic body radiation therapy (SBRT) for stage I non-small cell lung cancer (NSCLC) highlight differences between nonrecurrent and recurrent patients Int J Radiat Oncol Biol Phys. 2016; 96:E435-E436.
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  33. Miller ED, Erdal BS, Mo X, Prevedello LM, White RD, Welliver MX. Changes in texture features of magnetic resonance images as a predictor for pathologic necrosis following neoadjuvant therapy for soft tissue sarcoma Int J Radiat Oncol Biol Phys. 2016; 96:E707-E708.
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  34. Ozkan E, West A, Dedelow JA, Chu BF, Zhao W, Yildiz VO, Otterson GA, Shilo K, Ghosh S, King M, White RD, Erdal BS. CT Gray-Level Texture Analysis as a Quantitative Imaging Biomarker of Epidermal Growth Factor Receptor Mutation Status in Adenocarcinoma of the Lung. AJR Am J Roentgenol. 2015 Nov; 205 (5):1016-25
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  35. Hawley JR, Lawther H, Erdal BS, Yildiz VO, Carkaci S. Outcomes of benign breast papillomas diagnosed at image-guided vacuum-assisted core needle biopsy. Clin Imaging. 2015 Jul-Aug; 39 (4):576-81 Epub 2015 Feb 07
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  36. Chu BF, Ozkan E, Erdal BS, Zhao W, Shilo K, Otterson GA. Computed tomography (CT) imaging features in early-stage lung adenocarcinoma differentiating exon 19 and exon 21 epidermal growth factor receptor (EGFR) mutated tumors J Clin Oncol. 2014; 32:7548.
  37. Chu BF, Ozkan E, Erdal BS, Zhao W, Shilo K, Otterson GA. Correlation of epidermal growth factor receptor (EGFR) mutation profile with computed tomography (CT) imaging features in lung adenocarcinomas J Clin Oncol. 2013; 31:7542.
  38. Erdal BS, Crouser ED, Yildiz V, King MA, Patterson AT, Knopp MV, Clymer BD. Quantitative computerized two-point correlation analysis of lung CT scans correlates with pulmonary function in pulmonary sarcoidosis. Chest. 2012 Dec; 142 (6):1589-1597
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  39. Erdal BS, Clymer BD, Yildiz VO, Julian MW, Crouser ED. Unexpectedly high prevalence of sarcoidosis in a representative U.S. Metropolitan population. Respir Med. 2012 Jun; 106 (6):893-9 Epub 2012 Mar 13
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  40. Erdal BS, Liu J, Ding J, Chen J, Marsh CB, Kamal J, Clymer BD. A database de-identification framework to enable direct queries on medical data for secondary use. Methods Inf Med. 2012; 51 (3):229-41 Epub 2012 Feb 07
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  41. Stawicki SP, Schuster D, Liu JF, Kamal J, Erdal S, Gerlach AT, Whitmill Ml, Lindsey DE, Murphy C, Steinberg SM, Cook CH. The glucogram: A new quantitative tool for glycemic analysis in the surgical intensive care unit. Int J Crit Illn Inj Sci. 2011 Jan; 1 (1):5-12
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  42. Erdal S, Clymer BD, Crouser E. Increasing Prevalence of Sarcoidosis in a Midwest USA Metropolitan Health System Am J Respir Crit Care Med. 2011; 183:A5636.
  43. Erdal S, Crouser E, Clymer BD. Quantitative Computerized Two-Point Correlation Analysis of Lung CT Scans Correlates with Pulmonary Function in Pulmonary Sarcoidosis Am J Respir Crit Care Med. 2011; 183:A5644.
  44. Liu J, Erdal S, Silvey SA, Ding J, Riedel JD, Marsh CB, Kamal J. Toward a fully de-identified biomedical information warehouse. AMIA Annu Symp Proc. 2009 Nov 14; 2009:370-4
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  45. Erdal S, Catalyurek UV, Payne PR, Saltz J, Kamal J, Gurcan MN. A knowledge-anchored integrative image search and retrieval system. J Digit Imaging. 2009 Apr; 22 (2):166-82 Epub 2007 Nov 27
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  46. Altiparmak F, Ferhatosmanoglu H, Erdal S, Trost DC. Information mining over heterogeneous and high-dimensional time-series data in clinical trials databases. IEEE Trans Inf Technol Biomed. 2006 Apr; 10 (2):254-63
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  47. Nadella P, Shapiro C, Otterson GA, Hauger M, Erdal S, Kraut E, Clinton S, Shah M, Stanek M, Monk P, Villalona-Calero MA. Pharmacobiologically based scheduling of capecitabine and docetaxel results in antitumor activity in resistant human malignancies. J Clin Oncol. 2002 Jun 1; 20 (11):2616-23
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