Metin Gurcan to Diagnosis, Computer-Assisted
This is a "connection" page, showing publications Metin Gurcan has written about Diagnosis, Computer-Assisted.
Connection Strength
3.961
-
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: 0.693
-
Niazi MKK, Parwani AV, Gurcan MN. Digital pathology and artificial intelligence. Lancet Oncol. 2019 05; 20(5):e253-e261.
Score: 0.664
-
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: 0.527
-
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: 0.497
-
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: 0.375
-
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: 0.360
-
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: 0.324
-
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.
Score: 0.203
-
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.
Score: 0.145
-
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: 0.090
-
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: 0.083