Metin Gurcan to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Metin Gurcan has written about Image Processing, Computer-Assisted.
Connection Strength
10.244
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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.
Score: 0.644
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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.
Score: 0.637
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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.
Score: 0.618
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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.
Score: 0.554
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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.
Score: 0.553
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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.
Score: 0.551
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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.
Score: 0.534
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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.
Score: 0.506
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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).
Score: 0.490
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Gurcan MN. Histopathological Image Analysis: Path to Acceptance through Evaluation. Microsc Microanal. 2016 07; 22(Suppl 3):1004-1005.
Score: 0.489
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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.
Score: 0.475
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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.
Score: 0.470
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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.
Score: 0.443
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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.
Score: 0.358
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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.
Score: 0.322
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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.
Score: 0.321
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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.
Score: 0.298
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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.
Score: 0.290
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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.
Score: 0.266
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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.
Score: 0.235
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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.
Score: 0.155
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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.
Score: 0.143
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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.
Score: 0.141
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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.
Score: 0.107
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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.
Score: 0.102
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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.
Score: 0.092
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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.
Score: 0.086
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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.
Score: 0.084
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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.
Score: 0.072
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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.
Score: 0.065
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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.
Score: 0.041
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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.
Score: 0.036
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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.
Score: 0.034
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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.
Score: 0.032