Metin N. Gurcan
Metin N. Gurcan
Director, Center for Artificial Intelligence Research, Wake Forest University School of Medicine
Verified email at - Homepage
Cited by
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Histopathological image analysis: A review
MN Gurcan, LE Boucheron, A Can, A Madabhushi, NM Rajpoot, B Yener
IEEE reviews in biomedical engineering 2, 147-171, 2009
Digital pathology and artificial intelligence
MKK Niazi, AV Parwani, MN Gurcan
The lancet oncology 20 (5), e253-e261, 2019
Pten in stromal fibroblasts suppresses mammary epithelial tumours
AJ Trimboli, CZ Cantemir-Stone, F Li, JA Wallace, A Merchant, N Creasap, ...
Nature 461 (7267), 1084-1091, 2009
Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer‐aided diagnosis system
MN Gurcan, B Sahiner, N Petrick, HP Chan, EA Kazerooni, PN Cascade, ...
Medical Physics 29 (11), 2552-2558, 2002
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
X Li, S Zhang, Q Zhang, X Wei, Y Pan, J Zhao, X Xin, C Qin, X Wang, J Li, ...
The Lancet Oncology 20 (2), 193-201, 2019
Mitosis detection in breast cancer histological images An ICPR 2012 contest
R Ludovic, R Daniel, L Nicolas, K Maria, I Humayun, K Jacques, ...
Journal of pathology informatics 4 (1), 8, 2013
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
O Sertel, J Kong, H Shimada, UV Catalyurek, JH Saltz, MN Gurcan
Pattern recognition 42 (6), 1093-1103, 2009
Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting
H Kong, M Gurcan, K Belkacem-Boussaid
IEEE transactions on medical imaging 30 (9), 1661-1677, 2011
Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization
B Sahiner, N Petrick, HP Chan, LM Hadjiiski, C Paramagul, MA Helvie, ...
IEEE transactions on medical imaging 20 (12), 1275-1284, 2001
Computerized classification of intraductal breast lesions using histopathological images
MM Dundar, S Badve, G Bilgin, V Raykar, R Jain, O Sertel, MN Gurcan
IEEE Transactions on Biomedical Engineering 58 (7), 1977-1984, 2011
Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading
O Sertel, J Kong, UV Catalyurek, G Lozanski, JH Saltz, MN Gurcan
Journal of Signal Processing Systems 55, 169-183, 2009
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation
J Kong, O Sertel, H Shimada, KL Boyer, JH Saltz, MN Gurcan
Pattern Recognition 42 (6), 1080-1092, 2009
Content-based microscopic image retrieval system for multi-image queries
HC Akakin, MN Gurcan
IEEE transactions on information technology in biomedicine 16 (4), 758-769, 2012
Image analysis for neuroblastoma classification: segmentation of cell nuclei
MN Gurcan, T Pan, H Shimada, J Saltz
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
G Teodoro, R Sachetto, O Sertel, MN Gurcan, W Meira, U Catalyurek, ...
2009 IEEE International Conference on Cluster Computing and Workshops, 1-10, 2009
Detection of microcalcifications in mammograms using higher order statistics
MN Gurcan, Y Yardimci, AE Cetin, R Ansari
Signal Processing Letters, IEEE 4 (8), 213-216, 1997
ER stress and autophagy: new discoveries in the mechanism of action and drug resistance of the cyclin-dependent kinase inhibitor flavopiridol
E Mahoney, DM Lucas, SV Gupta, AJ Wagner, SEM Herman, LL Smith, ...
Blood, The Journal of the American Society of Hematology 120 (6), 1262-1273, 2012
Computer-aided detection of centroblasts for follicular lymphoma grading using adaptive likelihood-based cell segmentation
O Sertel, G Lozanski, A Shana’ah, MN Gurcan
IEEE transactions on biomedical engineering 57 (10), 2613-2616, 2010
DeepFocus: detection of out-of-focus regions in whole slide digital images using deep learning
C Senaras, MKK Niazi, G Lozanski, MN Gurcan
PloS one 13 (10), e0205387, 2018
Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune-competent mice
MKK Niazi, N Dhulekar, D Schmidt, S Major, R Cooper, C Abeijon, ...
Disease models & mechanisms 8 (9), 1141-1153, 2015
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