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Metin N. Gurcan PhD

TitleProfessor
InstitutionWake Forest School of Medicine
DepartmentInternal Medicine, General Internal Medicine
Address
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    Other Positions
    TitleProfessor
    InstitutionWake Forest School of Medicine
    DepartmentWake Forest Institute for Regenerative Medicine

    TitleSenior Associate Dean
    InstitutionWake Forest School of Medicine

    TitleDirector
    InstitutionWake Forest School of Medicine


    Collapse Research 
    Collapse research activities and funding
    R01CA134451     (GURCAN, METIN NAFI)May 1, 2009 - May 31, 2019
    NIH
    Computer-based assessment of tumor microenvironment (TME) in Follicular Lymphoma
    Role: Principal Investigator

    R01LM010119     (GURCAN, METIN NAFI)Jul 1, 2009 - Dec 30, 2011
    NIH
    OAMiner: Integrative Knowledge Anchored Hypothesis Discovery
    Role: Principal Investigator

    U24CA199374     (MADABHUSHI, ANANT)Sep 17, 2015 - Aug 31, 2021
    NIH
    Pathology Image Informatics Platform for visualization, analysis and management
    Role: Co-Principal Investigator

    U01CA220401     (COOPER, LEE)Jun 12, 2018 - May 31, 2022
    NIH
    Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling
    Role: Co-Principal Investigator

    R21DC016972     (MOBERLY, AARON C)Sep 21, 2018 - Aug 31, 2021
    NIH
    Auto-Scope Software-Automated Otoscopy to Diagnose Ear Pathology
    Role: Co-Principal Investigator

    Collapse Bibliographic 
    Collapse selected publications
    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. Ma D, Stocks J, Rosen H, Kantarci K, Lockhart SN, Bateman JR, Craft S, Gurcan MN, Popuri K, Beg MF, Wang L. Differential diagnosis of frontotemporal dementia subtypes with explainable deep learning on structural MRI. Front Neurosci. 2024; 18:1331677. PMID: 38384484.
      Citations:    
    2. Tavolara TE, Niazi MKK, Feldman AL, Jaye DL, Flowers C, Cooper LAD, Gurcan MN. Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning. Diagn Pathol. 2024 Jan 19; 19(1):17. PMID: 38243330.
      Citations:    
    3. Gatti DM, Tyler AL, Mahoney JM, Churchill GA, Yener B, Koyuncu D, Gurcan MN, Niazi M, Tavolara T, Gower AC, Dayao D, McGlone E, Ginese ML, Specht A, Alsharaydeh A, Tessier PA, Kurtz SL, Elkins K, Kramnik I, Beamer G. Systems genetics uncover new loci containing functional gene candidates in Mycobacterium tuberculosis-infected Diversity Outbred mice. bioRxiv. 2023 Dec 22. PMID: 38187647.
      Citations:    
    4. Su Z, Rezapour M, Sajjad U, Gurcan MN, Niazi MKK. Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Comput Biol Med. 2023 Dec; 167:107607. PMID: 37890421.
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    5. Tavolara TE, Su Z, Gurcan MN, Niazi MKK. One label is all you need: Interpretable AI-enhanced histopathology for oncology. Semin Cancer Biol. 2023 Dec; 97:70-85. PMID: 37832751.
      Citations:    
    6. Han Z, MacCuaig WM, Gurcan MN, Claros-Sorto J, Garwe T, Henson C, Holter-Chakrabarty J, Hannafon B, Chandra V, Wellberg E, McNally LR. Dynamic 2-deoxy-D-glucose-enhanced multispectral optoacoustic tomography for assessing metabolism and vascular hemodynamics of breast cancer. Photoacoustics. 2023 Aug; 32:100531. PMID: 37485041.
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    7. Sajjad U, Rezapour M, Su Z, Tozbikian GH, Gurcan MN, Niazi MKK. NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images. Cancers (Basel). 2023 Jun 30; 15(13). PMID: 37444538.
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    8. Jergens E, de Araujo Fernandes-Junior S, Cui Y, Robbins A, Castro CE, Poirier MG, Gurcan MN, Otero JJ, Winter JO. DNA-caged nanoparticles via electrostatic self-assembly. Nanoscale. 2023 Jun 01; 15(21):9390-9402. PMID: 37184508.
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    9. Rezapour M, Niazi MKK, Gurcan MN. Author Correction: Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers. Sci Rep. 2023 Apr 26; 13(1):6818. PMID: 37100854.
      Citations:    
    10. Thomas A, Douglas E, Reis-Filho JS, Gurcan MN, Wen HY. Metaplastic Breast Cancer: Current Understanding and Future Directions. Clin Breast Cancer. 2023 Apr 19. PMID: 37179225.
      Citations:    
    11. Rezapour M, Niazi MKK, Gurcan MN. Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers. Sci Rep. 2023 Apr 12; 13(1):6003. PMID: 37046069.
      Citations:    
    12. Su Z, Kumar S, Tavolara TE, Gurcan MN, Segal S, Niazi MKK. Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. Proc SPIE Int Soc Opt Eng. 2023 Feb; 12465. PMID: 37538448.
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    13. Su Z, Niazi MKK, Tavolara TE, Niu S, Tozbikian GH, Wesolowski R, Gurcan MN. BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images. PLoS One. 2023; 18(4):e0283562. PMID: 37014891.
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    14. Ngombu S, Binol H, Gurcan MN, Moberly AC. Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review. Otolaryngol Head Neck Surg. 2023 Apr; 168(4):635-642. PMID: 35290142.
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    15. Moaven O, Tavolara TE, Valenzuela CD, Cheung TT, Corvera CU, Cha CH, Stauffer JA, Niazi MKK, Gurcan MN, Shen P. Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases. J Am Coll Surg. 2023 Apr 01; 236(4):884-893. PMID: 36727981.
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    16. Tavolara TE, Gurcan MN, Niazi MKK. Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels. Cancers (Basel). 2022 Nov 24; 14(23). PMID: 36497258.
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    17. Lyu Q, Namjoshi SV, McTyre E, Topaloglu U, Barcus R, Chan MD, Cramer CK, Debinski W, Gurcan MN, Lesser GJ, Lin HK, Munden RF, Pasche BC, Sai KKS, Strowd RE, Tatter SB, Watabe K, Zhang W, Wang G, Whitlow CT. A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns (N Y). 2022 Nov 11; 3(11):100613. PMID: 36419451.
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    18. Kapoor S, Offnick A, Allen B, Brown PA, Sachs JR, Gurcan MN, Pinton G, D'Agostino R, Bushnell C, Wolfe S, Duncan P, Asimos A, Sarwal A. Brain topography on adult ultrasound images: Techniques, interpretation, and image library. J Neuroimaging. 2022 Nov; 32(6):1013-1026. PMID: 35924877.
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    19. Su Z, Tavolara TE, Carreno-Galeano G, Lee SJ, Gurcan MN, Niazi MKK. Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Med Image Anal. 2022 Jul; 79:102462. PMID: 35512532.
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    20. Luchini C, Pantanowitz L, Adsay V, Asa SL, Antonini P, Girolami I, Veronese N, Nottegar A, Cingarlini S, Landoni L, Brosens LA, Verschuur AV, Mattiolo P, Pea A, Mafficini A, Milella M, Niazi MK, Gurcan MN, Eccher A, Cree IA, Scarpa A. Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring. Mod Pathol. 2022 Mar 05. PMID: 35249100.
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    21. Madabhushi A, Gurcan MN. History of the SPIE Medical Imaging Digital Pathology Conference. J Med Imaging (Bellingham). 2022 Feb; 9(Suppl 1):012203. PMID: 35233437.
      Citations:    
    22. Tavolara TE, Gurcan MN, Segal S, Niazi MKK. Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. Comput Biol Med. 2021 Aug 04; 136:104737. PMID: 34391000.
      Citations:    
    23. Lim D, Renteria ES, Sime DS, Ju YM, Kim JH, Criswell T, Shupe TD, Atala A, Marini FC, Gurcan MN, Soker S, Hunsberger J, Yoo JJ. Bioreactor design and validation for manufacturing strategies in tissue engineering. Biodes Manuf. 2022 Jan; 5(1):43-63. PMID: 35223131.
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    24. Tavolara TE, Niazi MKK, Gower AC, Ginese M, Beamer G, Gurcan MN. Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice. EBioMedicine. 2021 May; 67:103388. PMID: 34000621.
      Citations:    
    25. Camalan S, Mahmood H, Binol H, Araújo ALD, Santos-Silva AR, Vargas PA, Lopes MA, Khurram SA, Gurcan MN. Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results. Cancers (Basel). 2021 Mar 14; 13(6). PMID: 33799466.
      Citations:    
    26. Jones MA, MacCuaig WM, Frickenstein AN, Camalan S, Gurcan MN, Holter-Chakrabarty J, Morris KT, McNally MW, Booth KK, Carter S, Grizzle WE, McNally LR. Molecular Imaging of Inflammatory Disease. Biomedicines. 2021 Feb 04; 9(2). PMID: 33557374.
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    27. Rajendran S, Obeid JS, Binol H, D Agostino R, Foley K, Zhang W, Austin P, Brakefield J, Gurcan MN, Topaloglu U. Cloud-Based Federated Learning Implementation Across Medical Centers. JCO Clin Cancer Inform. 2021 Jan; 5:1-11. PMID: 33411624.
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    28. Binol H, Niazi MKK, Essig G, Shah J, Mattingly JK, Harris MS, Elmaraghy C, Teknos T, Taj-Schaal N, Yu L, Gurcan MN, Moberly AC. Digital Otoscopy Videos Versus Composite Images: A Reader Study to Compare the Accuracy of ENT Physicians. Laryngoscope. 2021 05; 131(5):E1668-E1676. PMID: 33170529.
      Citations:    
    29. Tavolara TE, Niazi MKK, Ginese M, Piedra-Mora C, Gatti DM, Beamer G, Gurcan MN. Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning. EBioMedicine. 2020 Dec; 62:103094. PMID: 33166789.
      Citations:    
    30. Niazi MKK, Yazgan E, Tavolara TE, Li W, Lee CT, Parwani A, Gurcan MN. Semantic segmentation to identify bladder layers from H&E Images. Diagn Pathol. 2020 Jul 16; 15(1):87. PMID: 32677978.
      Citations:    
    31. Camalan S, Niazi MKK, Moberly AC, Teknos T, Essig G, Elmaraghy C, Taj-Schaal N, Gurcan MN. OtoMatch: Content-based eardrum image retrieval using deep learning. PLoS One. 2020; 15(5):e0232776. PMID: 32413096.
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    32. Hartman DJ, Van Der Laak JAWM, Gurcan MN, Pantanowitz L. Value of Public Challenges for the Development of Pathology Deep Learning Algorithms. J Pathol Inform. 2020; 11:7. PMID: 32318315.
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    33. Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection. Sci Rep. 2020 Feb 06; 10(1):2398. PMID: 32024961.
      Citations:    
    34. Fauzi MFA, Chen W, Knight D, Hampel H, Frankel WL, Gurcan MN. Tumor Budding Detection System in Whole Slide Pathology Images. J Med Syst. 2019 Dec 18; 44(2):38. PMID: 31853654.
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    35. Binol H, Plotner A, Sopkovich J, Kaffenberger B, Niazi MKK, Gurcan MN. Ros-NET: A deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol. 2020 May; 26(3):413-421. PMID: 31849118.
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    36. Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. A modular cGAN classification framework: Application to colorectal tumor detection. Sci Rep. 2019 12 12; 9(1):18969. PMID: 31831792.
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    37. Kus P, Gurcan MN, Beamer G. Automatic Detection of Granuloma Necrosis in Pulmonary Tuberculosis Using a Two-Phase Algorithm: 2D-TB. Microorganisms. 2019 Dec 07; 7(12). PMID: 31817882.
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    38. Niazi MKK, Parwani AV, Gurcan MN. Digital pathology and artificial intelligence. Lancet Oncol. 2019 05; 20(5):e253-e261. PMID: 31044723.
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    39. Li X, Zhang S, Zhang Q, Wei X, Pan Y, Zhao J, Xin X, Qin C, Wang X, Li J, Yang F, Zhao Y, Yang M, Wang Q, Zheng Z, Zheng X, Yang X, Whitlow CT, Gurcan MN, Zhang L, Wang X, Pasche BC, Gao M, Zhang W, Chen K. Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study. Lancet Oncol. 2019 02; 20(2):193-201. PMID: 30583848.
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    40. Senaras C, Niazi MKK, Lozanski G, Gurcan MN. DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning. PLoS One. 2018; 13(10):e0205387. PMID: 30359393.
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    41. Niazi MKK, Lin Y, Liu F, Ashok A, Marcellin MW, Tozbikian G, Gurcan MN, Bilgin A. Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif Intell Med. 2019 04; 95:82-87. PMID: 30266546.
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    42. Niazi MKK, Senaras C, Pennell M, Arole V, Tozbikian G, Gurcan MN. Relationship between the Ki67 index and its area based approximation in breast cancer. BMC Cancer. 2018 Sep 03; 18(1):867. PMID: 30176814.
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    43. Xiao TG, Weis JA, Gayzik FS, Thomas A, Chiba A, Gurcan MN, Topaloglu U, Samykutty A, McNally LR. Applying dynamic contrast enhanced MSOT imaging to intratumoral pharmacokinetic modeling. Photoacoustics. 2018 Sep; 11:28-35. PMID: 30105204.
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    44. Niazi MKK, Abas FS, Senaras C, Pennell M, Sahiner B, Chen W, Opfer J, Hasserjian R, Louissaint A, Shana'ah A, Lozanski G, Gurcan MN. Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology. PLoS One. 2018; 13(5):e0196547. PMID: 29746503.
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    45. Senaras C, Niazi MKK, Sahiner B, Pennell MP, Tozbikian G, Lozanski G, Gurcan MN. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. PLoS One. 2018; 13(5):e0196846. PMID: 29742125.
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    46. Niazi MKK, Tavolara TE, Arole V, Hartman DJ, Pantanowitz L, Gurcan MN. Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning. PLoS One. 2018; 13(4):e0195621. PMID: 29649302.
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    47. Niazi MKK, Beamer G, Gurcan MN. An application of transfer learning to neutrophil cluster detection for tuberculosis: Efficient implementation with nonmetric multidimensional scaling and sampling. Proc SPIE Int Soc Opt Eng. 2018; 10581. PMID: 34262235.
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    48. Jordan J, Goldstein JS, Jaye DL, Gurcan M, Flowers CR, Cooper LAD. Informatics Approaches to Address New Challenges in the Classification of Lymphoid Malignancies. JCO Clin Cancer Inform. 2018; 2. PMID: 30637363.
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    49. Martel AL, Hosseinzadeh D, Senaras C, Zhou Y, Yazdanpanah A, Shojaii R, Patterson ES, Madabhushi A, Gurcan MN. An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management. Cancer Res. 2017 11 01; 77(21):e83-e86. PMID: 29092947.
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    50. Canella A, Welker AM, Yoo JY, Xu J, Abas FS, Kesanakurti D, Nagarajan P, Beattie CE, Sulman EP, Liu J, Gumin J, Lang FF, Gurcan MN, Kaur B, Sampath D, Puduvalli VK. Efficacy of Onalespib, a Long-Acting Second-Generation HSP90 Inhibitor, as a Single Agent and in Combination with Temozolomide against Malignant Gliomas. Clin Cancer Res. 2017 Oct 15; 23(20):6215-6226. PMID: 28679777.
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    51. Gurcan MN, Tomaszewski JE, Madabhushi A. Special Section Guest Editorial: Digital Pathology. J Med Imaging (Bellingham). 2017 Apr; 4(2):021101. PMID: 28680908.
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    52. Bengtsson E, Danielsen H, Treanor D, Gurcan MN, MacAulay C, Molnár B. Computer-aided diagnostics in digital pathology. Cytometry A. 2017 06; 91(6):551-554. PMID: 28640523.
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    53. Mount-Campbell AF, Hosseinzadeh D, Gurcan M, Patterson ES. APPLYING HUMAN FACTORS ENGINEERING TO IMPROVE USABILITY AND WORKFLOW IN PATHOLOGY INFORMATICS. Proc Int Symp Hum Factors Ergon Healthc. 2017 Jun; 6(1):23-27. PMID: 30073176.
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    54. Moberly AC, Zhang M, Yu L, Gurcan M, Senaras C, Teknos TN, Elmaraghy CA, Taj-Schaal N, Essig GF. Digital otoscopy versus microscopy: How correct and confident are ear experts in their diagnoses? J Telemed Telecare. 2018 Aug; 24(7):453-459. PMID: 28480781.
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    55. Niazi MKK, Chung JH, Heaton-Johnson KJ, Martinez D, Castellanos R, Irwin MS, Master SR, Pawel BR, Gurcan MN, Weiser DA. Advancing Clinicopathologic Diagnosis of High-risk Neuroblastoma Using Computerized Image Analysis and Proteomic Profiling. Pediatr Dev Pathol. 2017 Sep-Oct; 20(5):394-402. PMID: 28420318.
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    56. Kaya B, Goceri E, Becker A, Elder B, Puduvalli V, Winter J, Gurcan M, Otero JJ. Automated fluorescent miscroscopic image analysis of PTBP1 expression in glioma. PLoS One. 2017; 12(3):e0170991. PMID: 28282372.
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    57. Goceri E, Goksel B, Elder JB, Puduvalli VK, Otero JJ, Gurcan MN. Quantitative validation of anti-PTBP1 antibody for diagnostic neuropathology use: Image analysis approach. Int J Numer Method Biomed Eng. 2017 11; 33(11). PMID: 28024117.
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    58. Abas FS, Shana'ah A, Christian B, Hasserjian R, Louissaint A, Pennell M, Sahiner B, Chen W, Niazi MKK, Lozanski G, Gurcan M. Computer-assisted quantification of CD3+ T cells in follicular lymphoma. Cytometry A. 2017 06; 91(6):609-621. PMID: 28110507.
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    59. Gurcan MN, Tomaszewski J, Overton JA, Doyle S, Ruttenberg A, Smith B. Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J Biomed Inform. 2017 02; 66:129-135. PMID: 28003147.
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    60. Goceri E, Shah ZK, Gurcan MN. Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach. Int J Numer Method Biomed Eng. 2017 04; 33(4). PMID: 27315322.
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    61. Gurcan MN. Histopathological Image Analysis: Path to Acceptance through Evaluation. Microsc Microanal. 2016 07; 22(Suppl 3):1004-1005. PMID: 28936115.
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    62. Niazi MKK, Zynger DL, Clinton SK, Chen J, Koyuturk M, LaFramboise T, Gurcan M. Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE J Biomed Health Inform. 2017 07; 21(4):1027-1038. PMID: 28113734.
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    63. Goceri E, Shah ZK, Layman R, Jiang X, Gurcan MN. Quantification of liver fat: A comprehensive review. Comput Biol Med. 2016 Apr 01; 71:174-89. PMID: 26945465.
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    64. Fauzi MF, Pennell M, Sahiner B, Chen W, Shana'ah A, Hemminger J, Gru A, Kurt H, Losos M, Joehlin-Price A, Kavran C, Smith SM, Nowacki N, Mansor S, Lozanski G, Gurcan MN. Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Med Inform Decis Mak. 2015 Dec 30; 15:115. PMID: 26715518.
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    65. Fauzi MFA, Gokozan HN, Elder B, Puduvalli VK, Pierson CR, Otero JJ, Gurcan MN. A multi-resolution textural approach to diagnostic neuropathology reporting. J Neurooncol. 2015 Sep; 124(3):393-402. PMID: 26255070.
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    66. Niazi MK, Dhulekar N, Schmidt D, Major S, Cooper R, Abeijon C, Gatti DM, Kramnik I, Yener B, Gurcan M, Beamer G. Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice. Dis Model Mech. 2015 Sep; 8(9):1141-53. PMID: 26204894.
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    67. Smith B, Arabandi S, Brochhausen M, Calhoun M, Ciccarese P, Doyle S, Gibaud B, Goldberg I, Kahn CE, Overton J, Tomaszewski J, Gurcan M. Biomedical imaging ontologies: A survey and proposal for future work. J Pathol Inform. 2015; 6:37. PMID: 26167381.
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    68. Ahmad Fauzi MF, Khansa I, Catignani K, Gordillo G, Sen CK, Gurcan MN. Computerized segmentation and measurement of chronic wound images. Comput Biol Med. 2015 May; 60:74-85. PMID: 25756704.
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    69. Bokhari SH, Çatalyürek ÜV, Gurcan MN. Massively Multithreaded Maxflow for Image Segmentation on the Cray XMT-2. Concurr Comput. 2014 Dec 01; 26(18):2836-2855. PMID: 25598745.
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    70. Belhomme P, Toralba S, Plancoulaine B, Oger M, Gurcan MN, Bor-Angelier C. Heterogeneity assessment of histological tissue sections in whole slide images. Comput Med Imaging Graph. 2015 Jun; 42:51-5. PMID: 25475487.
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    71. Khan Niazi MK, Yearsley MM, Zhou X, Frankel WL, Gurcan MN. Perceptual clustering for automatic hotspot detection from Ki-67-stained neuroendocrine tumour images. J Microsc. 2014 Dec; 256(3):213-25. PMID: 25228134.
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    72. Kornaropoulos EN, Niazi MK, Lozanski G, Gurcan MN. Histopathological image analysis for centroblasts classification through dimensionality reduction approaches. Cytometry A. 2014 Mar; 85(3):242-55. PMID: 24376080.
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    73. Niazi MK, Beamer G, Gurcan MN. Detecting and characterizing cellular responses to Mycobacterium tuberculosis from histology slides. Cytometry A. 2014 Feb; 85(2):151-61. PMID: 24339210.
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    74. Lozanski G, Pennell M, Shana'ah A, Zhao W, Gewirtz A, Racke F, Hsi E, Simpson S, Mosse C, Alam S, Swierczynski S, Hasserjian RP, Gurcan MN. Inter-reader variability in follicular lymphoma grading: Conventional and digital reading. J Pathol Inform. 2013; 4:30. PMID: 24392244.
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    75. Roux L, Racoceanu D, Loménie N, Kulikova M, Irshad H, Klossa J, Capron F, Genestie C, Le Naour G, Gurcan MN. Mitosis detection in breast cancer histological images An ICPR 2012 contest. J Pathol Inform. 2013; 4:8. PMID: 23858383.
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    76. Das H, Wang Z, Niazi MK, Aggarwal R, Lu J, Kanji S, Das M, Joseph M, Gurcan M, Cristini V. Impact of diffusion barriers to small cytotoxic molecules on the efficacy of immunotherapy in breast cancer. PLoS One. 2013; 8(4):e61398. PMID: 23620747.
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    77. Mumcuoglu EU, Long FR, Castile RG, Gurcan MN. Image analysis for cystic fibrosis: computer-assisted airway wall and vessel measurements from low-dose, limited scan lung CT images. J Digit Imaging. 2013 Feb; 26(1):82-96. PMID: 22549245.
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    78. Mahoney E, Lucas DM, Gupta SV, Wagner AJ, Herman SE, Smith LL, Yeh YY, Andritsos L, Jones JA, Flynn JM, Blum KA, Zhang X, Lehman A, Kong H, Gurcan M, Grever MR, Johnson AJ, Byrd JC. ER stress and autophagy: new discoveries in the mechanism of action and drug resistance of the cyclin-dependent kinase inhibitor flavopiridol. Blood. 2012 Aug 09; 120(6):1262-73. PMID: 22740450.
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    79. Oger M, Belhomme P, Gurcan MN. A general framework for the segmentation of follicular lymphoma virtual slides. Comput Med Imaging Graph. 2012 Sep; 36(6):442-51. PMID: 22717207.
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    80. Payne PR, Jackson RD, Best TM, Borlawsky TB, Lai AM, James S, Gurcan MN. Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project. J Am Med Inform Assoc. 2012 Nov-Dec; 19(6):1110-4. PMID: 22647689.
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    81. Samsi S, Krishnamurthy AK, Gurcan MN. An Efficient Computational Framework for the Analysis of Whole Slide Images: Application to Follicular Lymphoma Immunohistochemistry. J Comput Sci. 2012 Sep 01; 3(5):269-279. PMID: 22962572.
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    82. Akakin HC, Gurcan MN. Content-based microscopic image retrieval system for multi-image queries. IEEE Trans Inf Technol Biomed. 2012 Jul; 16(4):758-69. PMID: 22311866.
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    83. Lézoray O, Gurcan M, Can A, Olivo-Marin JC. Special issue on whole slide microscopic image processing. Comput Med Imaging Graph. 2011 Oct-Dec; 35(7-8):493-5. PMID: 21752598.
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    84. Kong H, Gurcan M, Belkacem-Boussaid K. Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting. IEEE Trans Med Imaging. 2011 Sep; 30(9):1661-77. PMID: 21486712.
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    85. Patterson ES, Rayo M, Gill C, Gurcan MN. Authors' reply. J Pathol Inform. 2011 Feb 26; 2:10. PMID: 21394243.
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    86. Ababneh SY, Prescott JW, Gurcan MN. Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research. Med Image Anal. 2011 Aug; 15(4):438-48. PMID: 21474362.
      Citations:    
    87. Sertel O, Dogdas B, Chiu CS, Gurcan MN. Microscopic image analysis for quantitative characterization of muscle fiber type composition. Comput Med Imaging Graph. 2011 Oct-Dec; 35(7-8):616-28. PMID: 21342753.
      Citations:    
    88. Dundar MM, Badve S, Bilgin G, Raykar V, Jain R, Sertel O, Gurcan MN. Computerized classification of intraductal breast lesions using histopathological images. IEEE Trans Biomed Eng. 2011 Jul; 58(7):1977-84. PMID: 21296703.
      Citations:    
    89. Patterson ES, Rayo M, Gill C, Gurcan MN. Barriers and facilitators to adoption of soft copy interpretation from the user perspective: Lessons learned from filmless radiology for slideless pathology. J Pathol Inform. 2011 Jan 07; 2:1. PMID: 21383925.
      Citations:    
    90. Belkacem-Boussaid K, Pennell M, Lozanski G, Shana'ah A, Gurcan M. Computer-aided classification of centroblast cells in follicular lymphoma. Anal Quant Cytol Histol. 2010 Oct; 32(5):254-60. PMID: 21509147.
      Citations:    
    91. Samsi S, Lozanski G, Shana'ah A, Krishanmurthy AK, Gurcan MN. Detection of follicles from IHC-stained slides of follicular lymphoma using iterative watershed. IEEE Trans Biomed Eng. 2010 Oct; 57(10):2609-12. PMID: 20639174.
      Citations:    
    92. Sertel O, Lozanski G, Shana'ah A, Gurcan MN. Computer-aided detection of centroblasts for follicular lymphoma grading using adaptive likelihood-based cell segmentation. IEEE Trans Biomed Eng. 2010 Oct; 57(10):2613-6. PMID: 20595077.
      Citations:    
    93. Erter J, Alinari L, Darabi K, Gurcan M, Garzon R, Marcucci G, Bechtel MA, Wong H, Porcu P. New targets of therapy in T-cell lymphomas. Curr Drug Targets. 2010 Apr; 11(4):482-93. PMID: 20196721.
      Citations:    
    94. Prescott JW, Best TM, Swanson MS, Haq F, Jackson RD, Gurcan MN. Anatomically anchored template-based level set segmentation: application to quadriceps muscles in MR images from the Osteoarthritis Initiative. J Digit Imaging. 2011 Feb; 24(1):28-43. PMID: 20049623.
      Citations:    
    95. Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B. Histopathological image analysis: a review. IEEE Rev Biomed Eng. 2009; 2:147-71. PMID: 20671804.
      Citations:    
    96. Trimboli AJ, Cantemir-Stone CZ, Li F, Wallace JA, Merchant A, Creasap N, Thompson JC, Caserta E, Wang H, Chong JL, Naidu S, Wei G, Sharma SM, Stephens JA, Fernandez SA, Gurcan MN, Weinstein MB, Barsky SH, Yee L, Rosol TJ, Stromberg PC, Robinson ML, Pepin F, Hallett M, Park M, Ostrowski MC, Leone G. Pten in stromal fibroblasts suppresses mammary epithelial tumours. Nature. 2009 Oct 22; 461(7267):1084-91. PMID: 19847259.
      Citations:    
    97. Cooper L, Sertel O, Kong J, Lozanski G, Huang K, Gurcan M. Feature-based registration of histopathology images with different stains: an application for computerized follicular lymphoma prognosis. Comput Methods Programs Biomed. 2009 Dec; 96(3):182-92. PMID: 19487043.
      Citations:    
    98. Prescott JW, Zhang D, Wang JZ, Mayr NA, Yuh WT, Saltz J, Gurcan M. Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation. J Digit Imaging. 2010 Jun; 23(3):342-57. PMID: 19172357.
      Citations:    
    99. Ruiz A, Sertel O, Ujaldón M, Catalyurek U, Saltz J, Gurcan MN. Stroma classification for neuroblastoma on graphics processors. Int J Data Min Bioinform. 2009; 3(3):280-98. PMID: 19623771.
      Citations:    
    100. Mumcuoglu EU, Prescott J, Baker BN, Clifford B, Long F, Castile R, Gurcan MN. Image analysis for cystic fibrosis: automatic lung airway wall and vessel measurement on CT images. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:3545-8. PMID: 19963586.
      Citations:    
    101. Sertel O, Catalyurek UV, Shimada H, Gurcan MN. Computer-aided prognosis of neuroblastoma: detection of mitosis and karyorrhexis cells in digitized histological images. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:1433-6. PMID: 19963746.
      Citations:    
    102. Prescott JW, Priddy M, Best TM, Pennell M, Swanson MS, Haq F, Jackson RD, Gurcan MN. An automated method to detect interstitial adipose tissue in thigh muscles for patients with osteoarthritis. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:6360-3. PMID: 19964162.
      Citations:    
    103. Prescott JW, Pennell M, Best TM, Swanson MS, Haq F, Jackson R, Gurcan MN. An automated method to segment the femur for osteoarthritis research. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:6364-7. PMID: 19964163.
      Citations:    
    104. Samsi SS, Krishnamurthy AK, Groseclose M, Caprioli RM, Lozanski G, Gurcan MN. Imaging mass spectrometry analysis for follicular lymphoma grading. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:6969-72. PMID: 19964719.
      Citations:    
    105. Oger M, Belhomme P, Gurcan MN. Classification of low resolution virtual slides from breast tumor sections: comparison between global and local analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:6671-4. PMID: 19964910.
      Citations:    
    106. Belkacem-Boussaid K, Sertel O, Lozanski G, Shana'aah A, Gurcan M. Extraction of color features in the spectral domain to recognize centroblasts in histopathology. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:3685-8. PMID: 19965003.
      Citations:    
    107. Saltz J, Kurc T, Hastings S, Langella S, Oster S, Ervin D, Sharma A, Pan T, Gurcan M, Permar J, Ferreira R, Payne P, Catalyurek U, Caserta E, Leone G, Ostrowski MC, Madduri R, Foster I, Madhavan S, Buetow KH, Shanbhag K, Siegel E. e-Science, caGrid, and Translational Biomedical Research. Computer (Long Beach Calif). 2008 Nov; 41(11):58-66. PMID: 21311723.
      Citations:    
    108. Kong J, Sertel O, Boyer KL, Saltz JH, Gurcan MN, Shimada H. Computer-assisted grading of neuroblastic differentiation. Arch Pathol Lab Med. 2008 Jun; 132(6):903-4; author reply 904. PMID: 18517267.
      Citations:    
    109. Qureshi H, Sertel O, Rajpoot N, Wilson R, Gurcan M. Adaptive discriminant wavelet packet transform and local binary patterns for meningioma subtype classification. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2):196-204. PMID: 18982606.
      Citations:    
    110. 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. PMID: 18040742.
      Citations:    
    111. Gurcan MN, Kong J, Sertel O, Cambazoglu BB, Saltz J, Catalyurek U. Computerized pathological image analysis for neuroblastoma prognosis. AMIA Annu Symp Proc. 2007 Oct 11; 304-8. PMID: 18693847.
      Citations:    
    112. Sharma A, Pan T, Cambazoglu BB, Gurcan M, Kurc T, Saltz J. VirtualPACS--a federating gateway to access remote image data resources over the grid. J Digit Imaging. 2009 Mar; 22(1):1-10. PMID: 17876669.
      Citations:    
    113. Gurcan MN, Pan T, Sharma A, Kurc T, Oster S, Langella S, Hastings S, Siddiqui KM, Siegel EL, Saltz J. GridIMAGE: a novel use of grid computing to support interactive human and computer-assisted detection decision support. J Digit Imaging. 2007 Jun; 20(2):160-71. PMID: 17318701.
      Citations:    
    114. Pan TC, Gurcan MN, Langella SA, Oster SW, Hastings SL, Sharma A, Rutt BG, Ervin DW, Kurc TM, Siddiqui KM, Saltz JH, Siegel EL. Informatics in radiology: GridCAD: grid-based computer-aided detection system. Radiographics. 2007 May-Jun; 27(3):889-97. PMID: 17495299.
      Citations:    
    115. Gurcan MN, Pan T, Shimada H, Saltz J. Image analysis for neuroblastoma classification: segmentation of cell nuclei. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:4844-7. PMID: 17947119.
      Citations:    
    116. Gurcan MN, Sahiner B, Petrick N, Chan HP, Kazerooni EA, Cascade PN, Hadjiiski L. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med Phys. 2002 Nov; 29(11):2552-8. PMID: 12462722.
      Citations:    
    117. Gurcan MN, Chan HP, Sahiner B, Hadjiiski L, Petrick N, Helvie MA. Optimal neural network architecture selection: improvement in computerized detection of microcalcifications. Acad Radiol. 2002 Apr; 9(4):420-9. PMID: 11942656.
      Citations:    
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