HR job title
- Associate Professor
- Contact Info
- Websites
- ORCiD
- 0000-0003-0600-8073
Mete, Mutlu TEES Researcher at TAMU-Commerce
Positions
- Professor, Texas A&M University - Commerce - (Commerce, Texas, United States)
- TEES Researcher at TAMU-Commerce, TEES Regional Divisions, Texas A&M Engineering Experiment Station (TEES)
I am a bioinformatician with a background in data mining and machine learning. I have extensive experience with machine learning applications in big data problems in modalities including tumor images, graphs interaction, strings, texts, protein, functional magnetic resonance imaging (fMRI), and SPECT.
Research Areas
- Overview
- Publications
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Calimano-Ramirez, L. F., Virarkar, M. K., Hernandez, M., Ozdemir, S., Kumar, S., Gopireddy, D. R., ... Gumus, K. Z.
(2023).
MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review. Abdominal radiology (New York).
48(7), 2379-2400.
-
Raman, G., Ashraf, B., Demir, Y. K., Kershaw, C. D., Cheruku, S., Atis, M., ... Mete, M.
(2023).
Machine learning prediction for COVID-19 disease severity at hospital admission. 23(1), 46.
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Raman, G., Ashraf, B., Demir, Y., Kershaw, C., Cheruku, S., Atis, M., ... Mete, M.
(2022).
Prediction of Outcome in Hospitalized Patients with COVID-19: Development of a COVID-19 Scoring Prognostic Model. Blood.
140(Supplement 1), 11224-11225.
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Mete, M., Ayvaci, M., Ariyamuthu, V. K., Amin, A., Peltz, M., Thibodeau, J. T., ... Tanriover, B.
(2022).
Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool. Kidney International Reports.
7(6), 1410-1415.
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Amin, A. A., Araj, F. G., Ariyamuthu, V. K., Drazner, M. H., Ayvaci, M., Mammen, P., ... Tanriover, B.
(2019).
Impact of induction immunosuppression on patient survival in heart transplant recipients treated with tacrolimus and mycophenolic acid in the current allocation era. Clinical Transplantation.
33(8), e13651.
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Sakoglu, U., Mete, M., Esquivel, J., Rubia, K., Briggs, R., & Adinoff, B.
(2019).
Classification of cocaine-dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data. Journal of Neuroscience Research.
97(7), 790-803.
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Bayraktar, M., Kockara, S., Halic, T., Mete, M., Wong, H. K., & Iqbal, K.
(2019).
Local edge-enhanced active contour for accurate skin lesion border detection. BMC Bioinformatics.
20(Suppl 2), 91.
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Ariyamuthu, V. K., Amin, A. A., Drazner, M. H., Araj, F., Mammen, P., Ayvaci, M., ... Tanriover, B.
(2018).
Induction regimen and survival in simultaneous heart-kidney transplant recipients. 37(5), 587-595.
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Tanriover, B., MacConmara, M. P., Parekh, J., Arce, C., Zhang, S., Gao, A., ... Marrero, J. A.
(2016).
SIMULTANEOUS LIVER KIDNEY TRANSPLANTATION IN LIVER TRANSPLANT CANDIDATES WITH RENAL DYSFUNCTION: IMPORTANCE OF CREATININE LEVELS, DIALYSIS, AND ORGAN QUALITY IN SURVIVAL. Kidney International Reports.
1(4), 221-229.
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Kaya, S., Bayraktar, M., Kockara, S., Mete, M., Halic, T., Field, H. E., & Wong, H. K.
(2016).
Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images. BMC Bioinformatics.
17(Suppl 13), 367.
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Mete, M., Sakoglu, U., Spence, J. S., Devous, M. D., Harris, T. S., & Adinoff, B.
(2016).
Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach. BMC Bioinformatics.
17(Suppl 13), 357.
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Lemon, J., Kockara, S., Halic, T., & Mete, M.
(2015).
Density-based parallel skin lesion border detection with webCL. BMC Bioinformatics.
16 Suppl 13(Suppl 13), S5.
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Sirakov, N. M., Ou, Y., & Mete, M.
(2015).
Skin lesion feature vectors classification in models of a Riemannian manifold. 75(1-2), 217-229.
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Akgn, D., Sakolu, . ., Esquivel, J., Adinoff, B., & Mete, M.
(2015).
GPU accelerated dynamic functional connectivity analysis for functional MRI data. Computerized Medical Imaging and Graphics.
43, 53-63.
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Tanriover, B., Zhang, S., MacConmara, M., Gao, A., Sandikci, B., Ayvaci, M., ... Vazquez, M.
(2015).
Induction Therapies in Live Donor Kidney Transplantation on Tacrolimus and Mycophenolate With or Without Steroid Maintenance. Clinical Journal of the American Society of Nephrology.
10(6), 1041-1049.
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Mete, M., & Sirakov, N. M.
(2012).
Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features. Computerized Medical Imaging and Graphics.
36(7), 572-579.
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Suer, S., Kockara, S., & Mete, M.
(2011).
An improved border detection in dermoscopy images for density based clustering. BMC Bioinformatics.
12 Suppl 10(Suppl 10), S12.
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Mete, M., Kockara, S., & Aydin, K.
(2011).
Fast density-based lesion detection in dermoscopy images. Computerized Medical Imaging and Graphics.
35(2), 128-136.
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Kockara, S., Mete, M., Chen, B., & Aydin, K.
(2010).
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images. 11 Suppl 6(Suppl 6), S26.
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Mete, M., & Sirakov, N. M.
(2010).
Lesion detection in demoscopy images with novel density-based and active contour approaches. 11 Suppl 6(Suppl 6), S23.
-
Kockara, S., Mete, M., Yip, V., Lee, B., & Aydin, K.
(2010).
A soft kinetic data structure for lesion border detection. Bioinformatics.
26(12), i21-i28.
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Yip, V., Mete, M., Topaloglu, U., & Kockara, S.
(2010).
Concept Discovery for Pathology Reports using an N-gram Model. AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science.
2010, 43-47.
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Mete, M., Hennings, L., Spencer, H. J., & Topaloglu, U.
(2009).
Automatic identification of angiogenesis in double stained images of liver tissue. BMC Bioinformatics.
10 Suppl 11(Suppl 11), S13.
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Mete, M., Tang, F., Xu, X., & Yuruk, N.
(2008).
A structural approach for finding functional modules from large biological networks. BMC Bioinformatics.
9 Suppl 9(Suppl 9), S19.
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Mete, M., Xu, X., Fan, C., & Shafirstein, G.
(2007).
Automatic delineation of malignancy in histopathological head and neck slides. BMC Bioinformatics.
8 Suppl 7(Suppl 7), S17.
-
Akar, M., Sirakov, N. M., & Mete, M.
Clifford algebra multivectors and kernels for melanoma classification. Mathematical Methods in the Applied Sciences.
4056-4068.
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Nuthakki, M. K., Mete, M., Varol, C., & Suh, S. C.
UXSOM
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Calimano-Ramirez, L. F., Virarkar, M. K., Hernandez, M., Ozdemir, S., Kumar, S., Gopireddy, D. R., ... Gumus, K. Z.
(2023).
MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review. Abdominal radiology (New York).
48(7), 2379-2400.
-
chapter
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Kockara, S., Mete, M., & Suer, S.
(2013).
Color and Spatial Features Integrated Normalized Distance for Density Based Border Detection in Dermoscopy Images. Color Medical Image Analysis.
(pp. 41-61).
Springer Nature.
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Yenialp, E., Kalkan, H., & Mete, M.
(2012).
Improving Density Based Clustering with Multi-scale Analysis. Lecture Notes in Computer Science.
Computer Vision and Graphics.
(pp. 694-701).
Springer Nature.
-
Mete, M., Tang, F., Xu, X., & Yuruk, N.
(2010).
Finding Functional Modules. SYSTEMS BIOLOGY FOR SIGNALING NETWORKS.
(pp. 253-273).
Springer Nature.
-
Mete, M., Yuruk, N., Xu, X., & Berleant, D.
(2010).
Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach. International Series in Operations Research and Management Science.
DATA ENGINEERING: MINING, INFORMATION AND INTELLIGENCE.
(pp. 225-243).
Springer Nature.
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Mete, M., Ou, Y., & Sirakov, N. M.
Skin Lesion Feature Vector Space with a Metric to Model Geometric Structures of Malignancy for Classification. Combinatorial Image Analaysis.
(pp. 285-297).
Springer Nature.
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Kockara, S., Mete, M., & Suer, S.
(2013).
Color and Spatial Features Integrated Normalized Distance for Density Based Border Detection in Dermoscopy Images. Color Medical Image Analysis.
(pp. 41-61).
Springer Nature.
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conference paper
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Arslan, A. N., Mete, M., & Kumari, A.
(2021).
RNA Secondary Structure Database, Analysis Tool-Set, and Case-Study Results on SARS-CoV-2. 2471-2478.
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Mete, M., Sirakov, N., Dickson, L., Frieder, J., Griffin, J., Hosler, G. A., & Menter, A.
(2020).
A Quaternary Classifier for the Clinical Evaluation of Pigmented Skin Lesions. 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).
734-739.
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Mete, M., & Arslan, A.
(2020).
Graphical Processing Unit - Supported RNA Secondary Structure Comparison. EPiC Series in Computing.
109-198.
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Natarajan, K., Nguyen, T., & Mete, M.
(2018).
Hand Gesture Controlled Drones: An Open Source Library. 168-175.
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Mete, M., Sirakov, N. M., Griffin, J., & Menter, A.
(2016).
NOVEL CLASSIFICATION SYSTEM FOR DYSPLASTIC NEVUS AND MALIGNANT MELANOMA. Proceedings / ICIP ... International Conference on Image Processing.
3414-3418.
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Kockara, S., Mete, M., Halic, T., Yuruk, N., Ercan, M., & Lawrence, A.
(2015).
Fractals for Malignancy Detection in Dermoscopy Images. 115-121.
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Sirakov, N. M., Mete, M., Selvaggi, R., & Luong, M.
(2015).
New Accurate Automated Melanoma Diagnosing Systems. 374-379.
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Mete, M., & Sirakov, N. M.
(2014).
OPTIMAL SET OF FEATURES FOR ACCURATE SKIN CANCER DIAGNOSIS. Proceedings / ICIP ... International Conference on Image Processing.
2256-2260.
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Akgun, D., Sakoglu, U., Mete, M., Esquivel, J., & Adinoff, B.
(2014).
GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL. IEEE International Conference on Electro Information Technology.
479-484.
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Mete, M., Chen, J., Wen, Q., & Liu, X.
(2012).
COLOR REGION ANNOTATION FOR MICROVESSEL DENSITY ESTIMATION. 145-148.
-
Chen, J., Wen, Q., Zhuo, C., & Mete, M.
(2012).
A Novel Approach Towards Head Detection of Giant Pandas in the Free-Range Environment. 814-818.
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Wen, Q., Qu, W., Chen, J., & Mete, M.
(2012).
A Novel Method for Counting Subcellular Structures Labeled by Green Fluorescent Protein. 500-503.
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Chen, J., Wen, Q., Pang, Z., & Mete, M.
(2012).
An Effective Approach Towards Color Image Segmentation for Micro-Vessel Detection. 59-63.
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Chen, J., Wen, Q., Zhuo, C., & Mete, M.
(2012).
Automatic Head Detection for Passenger Flow Analysis in Bus Surveillance Videos. 143-147.
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Chen, J., Wen, Q., Zhuo, C., & Mete, M.
(2012).
Extraction of Color Entropy Sequence for Micro-vessel Detection in Virtual Slide. 871-875.
-
Chen, J., Wen, Q., Qu, W., & Mete, M.
(2012).
Panda Facial Region Detection Based on Topology Modelling. 911-915.
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Chen, J., Wen, Q., Zhuo, C., & Mete, M.
(2012).
Pose Recognition of Giant Pandas Based on Gradient Shapes. 358-362.
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Mete, M., Devous, M., Spence, J., & Adinoff, B.
(2012).
A SUPPORT VECTOR MACHINES MODEL TO CLASSIFY COCAINE PATIENTS. Alcoholism: Clinical and Experimental Research.
396A-396A.
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Sirakov, N. M., Mete, M., & Chakrader, N. S.
(2011).
AUTOMATIC BOUNDARY DETECTION AND SYMMETRY CALCULATION IN DERMOSCOPY IMAGES OF SKIN LESIONS. Proceedings / ICIP ... International Conference on Image Processing.
1605-1608.
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Yuruk, N., Mete, M., Xu, X., & Schweiger, T.
(2009).
AHSCAN: Agglomerative Hierarchical Structural Clustering Algorithm for Networks. 72-+.
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Kockara, S., Yip, V., & Mete, M.
(2009).
BALLS HIERARCHY: IMAGE SEGMENTATION BY GRAPH SPANNER. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
514-+.
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Mete, M., & Topaloglu, U.
(2009).
Statistical Comparison of Color Model-Classifier Pairs in Hematoxylin and Eosin Stained Histological Images. 284-291.
-
Mete, M., Xu, X., Fan, C., & Shafirstein, G.
(2007).
A machine learning approach for identification of head and neck squamous cell carcinoma. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine.
29-+.
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Yuruk, N., Mete, M., Xu, X., & Schweiger, T.
(2007).
A Divisive Hierarchical Structural Clustering Algorithm for Networks. 441-446.
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Mete, M., Xu, X., Fan, C., & Shafirstein, G.
(2006).
Head and neck cancer detection in histopathological slides. Proceedings ... ICDM workshops IEEE International Conference on Data Mining.
223-227.
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Xu, X., Mete, M., & Yuruk, N.
(2005).
Mining concept associations for knowledge discovery in large textual databases. 549-550.
-
Arslan, A. N., Mete, M., & Kumari, A.
(2021).
RNA Secondary Structure Database, Analysis Tool-Set, and Case-Study Results on SARS-CoV-2. 2471-2478.
-
institutional repository document
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Natarajan, K., Nguyen, T., & Mete, M.
(2018).
Hand Gesture Controlled Drones: An Open Source Library
-
Natarajan, K., Nguyen, T., & Mete, M.
(2018).
Hand Gesture Controlled Drones: An Open Source Library
-
patent
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Shafirstein, G., Xu, X., & Mete, M.
(2010).
Image processing apparatus and method for histological analysis
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Shafirstein, G., Xu, X., & Mete, M.
(2010).
Image processing apparatus and method for histological analysis
Background
education and training
- Ph.D. in Applied Science, emphasis on Applied Computing, University of Arkansas at Little Rock - (Little Rock, Arkansas, United States) 2008
- B.S. in Computer Science Applied Science, emphasis on Applied Computing, Dokuz Eylul University - (Izmir, Turkey) 2001
Contact
first name
- Mutlu
has last name
- Mete
Other
- mutlu.mete@tamuc.edu