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ORCIDMetin Nafi Gürcan
M. Nafi Gürcan – Metin N. Gurcan
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2020 – today
- 2024
[j45]Hao Lu
, Mostafa Rezapour, Haseebullah Baha, Muhammad Khalid Khan Niazi, Aarthi Narayanan, Metin Nafi Gürcan:
Gene pointNet for tumor classification. Neural Comput. Appl. 36(33): 21107-21121 (2024)- [i7]Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan:
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates. CoRR abs/2401.08738 (2024) - [i6]Ziyu Su, Yongxin Guo, Robert Wesolowski, Gary Tozbikian, Nathaniel S. O'Connell, M. Khalid Khan Niazi, Metin N. Gurcan:
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool. CoRR abs/2409.15491 (2024) - 2023
- [j44]Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Comput. Biol. Medicine 167: 107607 (2023) - [c81]Ziyu Su, Sandhya Kumar, Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi:
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. Medical Imaging: Computer-Aided Diagnosis 2023 - [i5]Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. CoRR abs/2301.07700 (2023) - [i4]Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images. CoRR abs/2309.09412 (2023) - [i3]Mostafa Rezapour, Rachel B. Seymour, Stephen H. Sims, Madhav A. Karunakar, Nahir Habet, Metin Nafi Gürcan:
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries. CoRR abs/2309.15990 (2023) - 2022
- [j43]Ziyu Su, Thomas E. Tavolara, Gabriel Carreno-Galeano, Sang Jin Lee, Metin N. Gurcan, M. Khalid Khan Niazi:
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Medical Image Anal. 79: 102462 (2022) - [j42]Hamidullah Binol, M. Khalid Khan Niazi, Charles Elmaraghy, Aaron C. Moberly, Metin N. Gurcan:
OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images. Neural Comput. Appl. 34(14): 12197-12210 (2022) - [j41]Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow:
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns 3(11): 100613 (2022) - 2021
- [j40]Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi:
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. Comput. Biol. Medicine 136: 104737 (2021) - [c80]Thomas E. Tavolara, Adam M. Jorgensen, Metin N. Gurcan, Sean V. Murphy, M. Khalid Khan Niazi:
Panoptic segmentation of wounds in a pig model. Medical Imaging: Computer-Aided Diagnosis 2021 - [c79]Seda Camalan, M. Khalid Khan Niazi, Mahesh Devarasetty, Shay Soker, Metin N. Gurcan:
Bladder cancer organoid image analysis: textured-based grading. Medical Imaging: Digital Pathology 2021 - [c78]Thomas E. Tavolara, Gabriel Carreno-Galeano, Metin N. Gurcan, Sang Jin Lee, M. Khalid Khan Niazi:
Grading and localization of histological features for bioengineered kidney constructs. Medical Imaging: Digital Pathology 2021 - [c77]Thomas E. Tavolara, M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. Medical Imaging: Digital Pathology 2021 - [i2]Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow:
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images. CoRR abs/2110.03588 (2021) - 2020
- [j39]Mohammad Faizal Ahmad Fauzi, Wei Chen, Debbie Knight, Heather Hampel, Wendy L. Frankel, Metin N. Gurcan:
Tumor Budding Detection System in Whole Slide Pathology Images. J. Medical Syst. 44(2): 38 (2020) - [c76]Hamidullah Binol, Aaron C. Moberly, M. Khalid Khan Niazi, Garth Essig, Jay Shah, Charles Elmaraghy, Theodoros Teknos, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan:
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. Medical Imaging: Computer-Aided Diagnosis 2020 - [c75]Hamidullah Binol, M. Khalid Khan Niazi, Alisha Plotner, Jennifer Sopkovich, Benjamin Kaffenberger, Metin N. Gurcan:
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification. Medical Imaging: Computer-Aided Diagnosis 2020 - [c74]Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. Medical Imaging: Digital Pathology 2020: 113200E - [c73]Muhammad Khalid Khan Niazi, Enes Yazgan, Cheryl Lee, Anil Parwani, Metin N. Gurcan:
Identifying bladder layers from H and E images using U-Net image segmentation. Medical Imaging: Digital Pathology 2020: 1132006 - [c72]Muhammad Khalid Khan Niazi, Katherine Moore, Kenneth S. Berenhaut, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan:
Hotspot detection in pancreatic neuroendocrine images using local depth. Medical Imaging: Digital Pathology 2020: 1132008 - [c71]Rasoul Banaeeyan, Mohammad Faizal Ahmad Fauzi, Wei Chen, Debbie Knight, Heather Hampel, Wendy L. Frankel, Metin N. Gurcan:
Tumor Budding Detection in H&E-Stained Images Using Deep Semantic Learning. TENCON 2020: 52-56
2010 – 2019
- 2019
- [j38]M. Khalid Khan Niazi, Yuzhang Lin, Feng Liu, Amit Ashok, Michael W. Marcellin, Gary Tozbikian, Metin Nafi Gürcan, Ali Bilgin:
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif. Intell. Medicine 95: 82-87 (2019) - [c70]Martin S. Kohn, Umit Topaloglu, Metin N. Gurcan, Brian Wells, Ajay Dharod:
Developing Biomedical Informatics Capability to Support Learning Health System: Challenges and Potential Solutions. AMIA 2019 - [c69]Muhammad Khalid Khan Niazi, Thomas E. Tavolara, Çaglar Senaras, Gary Tozbikian, Douglas J. Hartman, Vidya Arole, Liron Pantanowitz, Metin N. Gurcan:
Generalization of tumor identification algorithms. Medical Imaging: Digital Pathology 2019: 109560Z - [c68]Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Medical Imaging: Digital Pathology 2019: 109560R - [c67]Metin N. Gurcan:
Pixels to diagnosis: image analysis for digital pathology (Conference Presentation). Medical Imaging: Digital Pathology 2019: 1095603 - [c66]Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen, Wendy L. Frankel, Metin N. Gurcan:
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. Medical Imaging: Digital Pathology 2019: 1095614 - [i1]Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos:
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. CoRR abs/1909.07581 (2019) - 2018
- [j37]Aashish B. Katapadi, M. Emre Celebi, Shannon C. Trotter, Metin N. Gurcan:
Evolving strategies for the development and evaluation of a computerised melanoma image analysis system. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(4): 465-472 (2018) - [c65]Çaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan:
Detection of eardrum abnormalities using ensemble deep learning approaches. Medical Imaging: Computer-Aided Diagnosis 2018: 105751A - [c64]M. Khalid Khan Niazi, Thomas E. Tavolara, Vidya Arole, Anil V. Parwani, Cheryl Lee, Metin N. Gurcan:
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. Medical Imaging: Digital Pathology 2018: 105810H - [c63]Çaglar Senaras, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan:
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. Medical Imaging: Digital Pathology 2018: 1058103 - [c62]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Medical Imaging: Digital Pathology 2018: 1058106 - [c61]M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling. Medical Imaging: Digital Pathology 2018: 1058108 - [e7]John E. Tomaszewski, Metin N. Gurcan:
Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10581, SPIE 2018, ISBN 9781510616516 [contents] - 2017
- [j36]Metin N. Gurcan, John Tomaszewski, James A. Overton, Scott Doyle, Alan Ruttenberg, Barry Smith:
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J. Biomed. Informatics 66: 129-135 (2017) - [j35]M. Khalid Khan Niazi, Keluo Yao, Debra L. Zynger, Steven K. Clinton, James Chen, Mehmet Koyutürk, Thomas LaFramboise, Metin N. Gurcan:
Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE J. Biomed. Health Informatics 21(4): 1027-1038 (2017) - [c60]Çaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan:
Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features. Medical Imaging: Computer-Aided Diagnosis 2017: 101341X - [c59]M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan:
A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images. Medical Imaging: Digital Pathology 2017: 101400J - [c58]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Medical Imaging: Digital Pathology 2017: 101400E - [e6]Metin N. Gurcan, John E. Tomaszewski:
Medical Imaging 2017: Digital Pathology, Orlando, Florida, United States, 11-16 February 2017. SPIE Proceedings 10140, SPIE 2017, ISBN 9781510607255 [contents] - 2016
- [j34]Evgin Göçeri, Zarine K. Shah, Rick R. Layman, Xia Jiang, Metin N. Gurcan:
Quantification of liver fat: A comprehensive review. Comput. Biol. Medicine 71: 174-189 (2016) - [c57]Fazly Salleh Abas, Benjamin Kaffenberger, Joseph Bikowski, Metin N. Gurcan:
Acne image analysis: lesion localization and classification. Medical Imaging: Computer-Aided Diagnosis 2016: 97850B - [c56]M. Khalid Khan Niazi, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan:
Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps. Medical Imaging: Digital Pathology 2016: 97910B - [c55]M. Khalid Khan Niazi, Anil V. Parwani, Metin N. Gurcan:
Computer-assisted bladder cancer grading: α-shapes for color space decomposition. Medical Imaging: Digital Pathology 2016: 979107 - [c54]Fazly Salleh Abas, Hamza Numan Gokozan, Behiye Goksel, Jose Javier Otero, Metin N. Gurcan:
Intraoperative neuropathology of glioma recurrence: cell detection and classification. Medical Imaging: Digital Pathology 2016: 979109 - [e5]Metin N. Gurcan, Anant Madabhushi:
Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February - 3 March 2016. SPIE Proceedings 9791, SPIE 2016, ISBN 9781510600263 [contents] - 2015
- [j33]Mohammad Faizal Ahmad Fauzi, Ibrahim Khansa, Karen Catignani, Gayle Gordillo, Chandan K. Sen, Metin N. Gurcan:
Computerized segmentation and measurement of chronic wound images. Comput. Biol. Medicine 60: 74-85 (2015) - [j32]Philippe Belhomme, Simon Toralba, Benoît Plancoulaine, Myriam Oger, Metin N. Gurcan, Catherine Bor-Angelier:
Heterogeneity assessment of histological tissue sections in whole slide images. Comput. Medical Imaging Graph. 42: 51-55 (2015) - [j31]Mohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, Weijie Chen, Arwa Shana'ah, Jessica Hemminger, Alejandro Gru, Habibe Kurt, Michael Losos, Amy Joehlin-Price, Christina Kavran, Stephen M. Smith, Nicholas Nowacki, Sharmeen Mansor, Gerard Lozanski, Metin N. Gurcan:
Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 15: 115 (2015) - [c53]Mohammad Faizal Ahmad Fauzi, Hamza N. Gokozan, Christopher R. Pierson, Jose Javier Otero, Metin Nafi Gürcan:
Prognostic Reporting of p53 Expression by Image Analysis in Glioblastoma Patients: Detection and Classification. HIS 2015: 165-173 - [c52]Hatice Çinar Akakin, Hamza N. Gokozan, Jose Javier Otero, Metin N. Gurcan:
An adaptive algorithm for detection of multiple-type, positively stained nuclei in IHC images with minimal prior information: application to OLIG2 staining gliomas. Medical Imaging: Digital Pathology 2015: 942007 - [c51]M. Khalid Khan Niazi, Daniel A. Weiser, Bruce R. Pawel, Metin N. Gurcan:
Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis. Medical Imaging: Digital Pathology 2015: 942008 - [e4]Metin N. Gurcan, Anant Madabhushi:
Medical Imaging 2015: Digital Pathology, Orlando, Florida, United States, 21-26 February 2015. SPIE Proceedings 9420, SPIE 2015, ISBN 9781628415100 [contents] - 2014
- [j30]Evgin Göçeri, Metin Nafi Gürcan, Oguz Dicle:
Fully automated liver segmentation from SPIR image series. Comput. Biol. Medicine 53: 265-278 (2014) - [j29]Shahid H. Bokhari, Ümit V. Çatalyürek, Metin Nafi Gürcan:
Massively multithreaded maxflow for image segmentation on the Cray XMT-2. Concurr. Comput. Pract. Exp. 26(18): 2836-2855 (2014) - [c50]Mohammad Faizal Ahmad Fauzi, Ibrahim Khansa, Karen Catignani, Gayle Gordillo, Chandan K. Sen, Metin N. Gurcan:
Segmentation and automated measurement of chronic wound images: probability map approach. Medical Imaging: Computer-Aided Diagnosis 2014: 903507 - [c49]Mohammad Faizal Ahmad Fauzi, Hamza Numan Gokozan, Brad Elder, Vinay K. Puduvalli, Jose Javier Otero, Metin N. Gurcan:
Classification of glioblastoma and metastasis for neuropathology intraoperative diagnosis: a multi-resolution textural approach to model the background. Medical Imaging: Digital Pathology 2014: 90410F - [c48]M. Khalid Khan Niazi, Jessica Hemminger, Habibe Kurt, Gerard Lozanski, Metin N. Gurcan:
Grading vascularity from histopathological images based on traveling salesman distance and vessel size. Medical Imaging: Digital Pathology 2014: 90410C - [c47]M. Khalid Khan Niazi, Erinn Downs-Kelly, Metin N. Gurcan:
Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach. Medical Imaging: Digital Pathology 2014: 904106 - [e3]Metin N. Gurcan, Anant Madabhushi:
Medical Imaging 2014: Digital Pathology, San Diego, California, United States, 15-20 February 2014. SPIE Proceedings 9041, SPIE 2014, ISBN 9780819498342 [contents] - 2013
- [j28]Ü. Erkan Mumcuoglu, Frederick R. Long, Robert G. Castile, Metin N. Gurcan:
Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images. J. Digit. Imaging 26(1): 82-96 (2013) - [c46]M. Khalid Khan Niazi, Michael Pennell, Camille Elkins, Jessica Hemminger, Ming Jin, Sean Kirby, Habibe Kurt, Barrie Miller, Elizabeth Plocharczyk, Rachel Roth, Rebecca Ziegler, Arwa Shana'ah, Fred Racke, Gerard Lozanski, Metin N. Gurcan:
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. Medical Imaging: Digital Pathology 2013: 86760I - [c45]Evrim Acar, Gerard Lozanski, Metin N. Gurcan:
Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading. Medical Imaging: Digital Pathology 2013: 867603 - [c44]M. Khalid Khan Niazi, Anjali A. Satoskar, Metin N. Gurcan:
An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies. Medical Imaging: Digital Pathology 2013: 867606 - [e2]Metin N. Gurcan, Anant Madabhushi:
Medical Imaging 2013: Digital Pathology, Lake Buena Vista (Orlando Area), Florida, United States, 9-14 February 2013. SPIE Proceedings 8676, SPIE 2013, ISBN 9780819494504 [contents] - 2012
- [j27]Myriam Oger, Philippe Belhomme, Metin N. Gurcan:
A general framework for the segmentation of follicular lymphoma virtual slides. Comput. Medical Imaging Graph. 36(6): 442-451 (2012) - [j26]Philip R. O. Payne, Rebecca D. Jackson, Thomas M. Best, Tara Borlawsky, Albert M. Lai, Stephen L. James, Metin N. Gurcan:
Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project. J. Am. Medical Informatics Assoc. 19(6): 1110-1114 (2012) - [j25]Siddharth Samsi, Ashok K. Krishnamurthy, Metin N. Gurcan:
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. J. Comput. Sci. 3(5): 269-279 (2012) - [j24]Hatice Çinar Akakin, Metin N. Gurcan:
Content-Based Microscopic Image Retrieval System for Multi-Image Queries. IEEE Trans. Inf. Technol. Biomed. 16(4): 758-769 (2012) - [c43]Hatice Çinar Akakin, Hui Kong, Camille Elkins, Jessica Hemminger, Barrie Miller, Jin Ming, Elizabeth Plocharczyk, Rachel Roth, Mitchell Weinberg, Rebecca Ziegler, Gerard Lozanski, Metin N. Gurcan:
Automated detection of cells from immunohistochemically-stained tissues: application to Ki-67 nuclei staining. Medical Imaging: Computer-Aided Diagnosis 2012: 831503 - [c42]Basak Oztan, Hui Kong, Metin Nafi Gürcan, Bülent Yener:
Follicular lymphoma grading using cell-graphs and multi-scale feature analysis. Medical Imaging: Computer-Aided Diagnosis 2012: 831516 - [c41]Yagmur Gizem Cinar, Hatice Çinar Akakin, Metin Nafi Gürcan:
Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma. SIU 2012: 1-4 - 2011
- [j23]Olivier Lezoray, Metin N. Gurcan, Ali Can, Jean-Christophe Olivo-Marin:
Special issue on whole slide microscopic image processing. Comput. Medical Imaging Graph. 35(7-8): 493-495 (2011) - [j22]Kamel Belkacem-Boussaid, Siddharth Samsi, Gerard Lozanski, Metin N. Gurcan:
Automatic detection of follicular regions in H&E images using iterative shape index. Comput. Medical Imaging Graph. 35(7-8): 592-602 (2011) - [j21]Olcay Sertel, Belma Dogdas, Chi Sung Chiu, Metin N. Gurcan:
Microscopic image analysis for quantitative characterization of muscle fiber type composition. Comput. Medical Imaging Graph. 35(7-8): 616-628 (2011) - [j20]Jeffrey W. Prescott, Thomas M. Best, Mark S. Swanson, Furqan Haq, Rebecca D. Jackson, Metin N. Gurcan:
Anatomically Anchored Template-Based Level Set Segmentation: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative. J. Digit. Imaging 24(1): 28-43 (2011) - [j19]Sufyan Y. Ababneh, Jeffrey W. Prescott, Metin N. Gurcan:
Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research. Medical Image Anal. 15(4): 438-448 (2011) - [j18]Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan:
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Eng. 58(7): 1977-1984 (2011) - [j17]Hui Kong, Metin N. Gurcan, Kamel Belkacem-Boussaid:
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting. IEEE Trans. Medical Imaging 30(9): 1661-1677 (2011) - [c40]Hui Kong, Metin N. Gurcan, Kamel Belkacem-Boussaid:
Splitting touching-cell clusters on histopathological images. ISBI 2011: 208-211 - [c39]Hui Kong, Kamel Belkacem-Boussaid, Metin N. Gurcan:
Cell nuclei segmentation for histopathological image analysis. Medical Imaging: Image Processing 2011: 79622R - 2010
- [j16]Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan:
Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation. J. Digit. Imaging 23(3): 342-357 (2010) - [j15]Siddharth Samsi, Gerard Lozanski, Arwa Shanaah, Ashok K. Krishnamurthy, Metin N. Gurcan:
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. IEEE Trans. Biomed. Eng. 57(10): 2609-2612 (2010) - [j14]Olcay Sertel, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan:
Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation. IEEE Trans. Biomed. Eng. 57(10): 2613-2616 (2010) - [c38]Alexander Suhre, Kivanç Köse, A. Enis Çetin, Metin N. Gurcan:
Content-adaptive color transform for image compression. ICIP 2010: 189-192 - [c37]Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot:
Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests 2010: 226-234 - [c36]Olcay Sertel, Ümit V. Çatalyürek, Gerard Lozanski, Arwa Shanaah, Metin N. Gurcan:
An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma. ICPR 2010: 273-276 - [c35]Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan:
A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. ICPR 2010: 2732-2735 - [c34]Kamel Belkacem-Boussaid, Michael Pennell, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan:
Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases. ISBI 2010: 1411-1414 - [c33]Olcay Sertel, Belma Dogdas, Chi Sung Chiu, Metin N. Gurcan:
Muscle histology image analysis for sarcopenia: registration of successive sections with distinct ATPase activity. ISBI 2010: 1423-1426 - [c32]Kamel Belkacem-Boussaid, Jeffrey W. Prescott, Gerard Lozanski, Metin N. Gurcan:
Segmentation of follicular regions on H&E slides using a matching filter and active contour model. Medical Imaging: Computer-Aided Diagnosis 2010: 762436 - [c31]Jeffrey W. Prescott, Thomas M. Best, Furqan Haq, Rebecca D. Jackson, Metin Nafi Gürcan:
An analysis of methods for the selection of atlases for use in medical image segmentation. Medical Imaging: Image Processing 2010: 76231T
2000 – 2009
- 2009
- [j13]Lee A. D. Cooper, Olcay Sertel, Jun Kong, Gerard Lozanski, Kun Huang, Metin N. Gurcan:
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. Comput. Methods Programs Biomed. 96(3): 182-192 (2009) - [j12]Antonio Ruiz, Olcay Sertel, Manuel Ujaldon, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Stroma classification for neuroblastoma on graphics processors. Int. J. Data Min. Bioinform. 3(3): 280-298 (2009) - [j11]Ashish Sharma, Tony Pan, Berkant Barla Cambazoglu, Metin N. Gurcan, Tahsin M. Kurç, Joel H. Saltz:
VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid. J. Digit. Imaging 22(1): 1-10 (2009) - [j10]Selnur Erdal, Ümit V. Çatalyürek, Philip R. O. Payne, Joel H. Saltz, Jyoti Kamal, Metin N. Gurcan:
A Knowledge-Anchored Integrative Image Search and Retrieval System. J. Digit. Imaging 22(2): 166-182 (2009) - [j9]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation. Pattern Recognit. 42(6): 1080-1092 (2009) - [j8]Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development. Pattern Recognit. 42(6): 1093-1103 (2009) - [j7]Olcay Sertel, Jun Kong, Ümit V. Çatalyürek, Gerard Lozanski, Joel H. Saltz, Metin N. Gurcan:
Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading. J. Signal Process. Syst. 55(1-3): 169-183 (2009) - [c30]George Teodoro, Rafael Sachetto Oliveira, Olcay Sertel, Metin N. Gurcan, Wagner Meira Jr., Ümit V. Çatalyürek, Renato Ferreira:
Coordinating the use of GPU and CPU for improving performance of compute intensive applications. CLUSTER 2009: 1-10 - [c29]Jeffrey W. Prescott, Mark S. Swanson, Kimerly A. Powell, Metin N. Gurcan, Furqan Haq, Thomas M. Best, Rebecca D. Jackson:
Template-based level set segmentation using anatomical information. ISCIS 2009: 24-29 - 2008
- [j6]Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz:
Analysis and Semantic Querying in Large Biomedical Image Datasets. Computer 41(4): 52-59 (2008) - [j5]Joel H. Saltz, Tahsin M. Kurç, Shannon Hastings, Stephen Langella, Scott Oster, David Ervin, Ashish Sharma, Tony Pan, Metin N. Gurcan, Justin Permar, Renato Ferreira, Philip R. O. Payne, Ümit V. Çatalyürek, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Ravi K. Madduri, Ian T. Foster, Subhasree Madhavan, Kenneth H. Buetow, Krishnakant Shanbhag, Eliot L. Siegel:
e-Science, caGrid, and Translational Biomedical Research. Computer 41(11): 58-66 (2008) - [c28]Ümit V. Çatalyürek, Timothy D. R. Hartley, Olcay Sertel, Manuel Ujaldon, Antonio Ruiz, Joel H. Saltz, Metin N. Gurcan:
Processing of Large-Scale Biomedical Images on a Cluster of Multicore CPUs and GPUs. High Performance Computing Workshop 2008: 341-364 - [c27]Olcay Sertel, Jun Kong, Gerard Lozanski, Arwa Shanaah, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Texture classification using nonlinear color quantization: Application to histopathological image analysis. ICASSP 2008: 597-600 - [c26]Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Pathological image segmentation for neuroblastoma using the GPU. ISBI 2008: 296-299 - [c25]Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images. Medical Imaging: Computer-Aided Diagnosis 2008: 69150P - [c24]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
A multi-resolution image analysis system for computer-assisted grading of neuroblastoma differentiation. Medical Imaging: Computer-Aided Diagnosis 2008: 69151T - [c23]Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan:
Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer. Medical Imaging: Computer-Aided Diagnosis 2008: 69152X - [c22]Olcay Sertel, Jun Kong, Gerard Lozanski, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computerized microscopic image analysis of follicular lymphoma. Medical Imaging: Computer-Aided Diagnosis 2008: 691535 - [c21]Hammad Qureshi, Olcay Sertel, Nasir M. Rajpoot, Roland Wilson, Metin N. Gurcan:
Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification. MICCAI (2) 2008: 196-204 - 2007
- [j4]Metin N. Gurcan, Tony Pan, Ashish Sharma, Tahsin M. Kurç, Scott Oster, Stephen Langella, Shannon Hastings, Khan M. Siddiqui, Eliot L. Siegel, Joel H. Saltz:
GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support. J. Digit. Imaging 20(2): 160-171 (2007) - [c20]Metin N. Gurcan, Jun Kong, Olcay Sertel, Berkant Barla Cambazoglu, Joel H. Saltz, Ümit V. Çatalyürek:
Computerized Pathological Image Analysis For Neuroblastoma Prognosis. AMIA 2007 - [c19]Antonio Ruiz, Olcay Sertel, Manuel Ujaldon, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma. BIBM 2007: 78-88 - [c18]Berkant Barla Cambazoglu, Olcay Sertel, Jun Kong, Joel H. Saltz, Metin N. Gurcan, Ümit V. Çatalyürek:
Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma. CLADE@HPDC 2007: 35-41 - [c17]Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz:
Performance vs. accuracy trade-offs for large-scale image analysis applications. CLUSTER 2007: 100-109 - [c16]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach. ICIP (5) 2007: 525-528 - [c15]Jun Kong, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Image Analysis for Automated Assessment of Grade of Neuroblastic Differentiation. ISBI 2007: 61-64 - 2006
- [c14]Metin N. Gurcan, Tony Pan, Hiroyuki Shimada, Joel H. Saltz:
Image Analysis for Neuroblastoma Classification: Segmentation of Cell Nuclei. EMBC 2006: 4844-4847 - [c13]Ümit V. Çatalyürek, Sivaramakrishnan Narayanan, Olcay Sertel, Jun Kong, Berkant Barla Cambazoglu, Tony Pan, Ashish Sharma, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Metin Nafi Gürcan, Joel H. Saltz:
Service-Based Access to and Processing of Large Scientific Datasets. High Performance Computing Workshop 2006: 345-362 - [c12]Metin N. Gurcan, Randy Ernst, Aytekin Oto, Steve Worrell, Jeffrey W. Hoffmeister, Steve Rogers:
Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods. Medical Imaging: Image Processing 2006: 61445B - 2003
- [c11]Metin N. Gurcan, Russell C. Hardie, Steven K. Rogers, D. E. Dozer, Brent H. Allen, R. V. Burns, Jeffrey W. Hoffmeister:
Automated global matching of temporal thoracic helical CT studies: feasibility study. CARS 2003: 1031-1036 - 2002
- [c10]Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie:
Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Medical Imaging: Image Processing 2002 - [c9]Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan:
Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Medical Imaging: Image Processing 2002 - [c8]Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie:
Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Medical Imaging: Image Processing 2002 - 2001
- [j3]Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan:
Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. IEEE Trans. Medical Imaging 20(12): 1275-1284 (2001) - [c7]Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski:
Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Medical Imaging: Image Processing 2001 - [c6]Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan:
Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Medical Imaging: Image Processing 2001
1990 – 1999
- 1999
- [c5]M. Nafi Gürcan, Yasemin Yardimci, A. Enis Çetin:
Influence Function Based Gaussianity Tests for Detection of Microcalcifications in Mammogram Images. ICIP (3) 1999: 407-411 - [c4]Metin N. Gurcan, Yasemin Yardimci, A. Enis Çetin:
Microcalcification segmentation and mammogram image enhancement using nonlinear filtering. NSIP 1999: 588-592 - [e1]A. Enis Çetin, Lale Akarun, Aysin Ertüzün, Metin N. Gurcan, Yasemin Yardimci:
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), Antalya, Turkey, June 20-23, 1999. Bogaziçi University Printhouse 1999, ISBN 975-518-133-4 [contents] - 1998
- [j2]M. Nafi Gürcan, Ömer Nezih Gerek, A. Enis Çetin:
Nonlinear subband decomposition structures in GF-(N) arithmetic. Signal Process. 64(2): 209-213 (1998) - [c3]M. Nafi Gürcan, Yasemin Yardimci, A. Enis Çetin:
Microcalcifications Detection Using Adaptive Filtering and Gaussianity Tests. Digital Mammography / IWDM 1998: 157-164 - 1997
- [j1]M. Nafi Gürcan, Yasemin Yardimci, A. Enis Çetin, Rashid Ansari:
Detection of microcalcifications in mammograms using higher order statistics. IEEE Signal Process. Lett. 4(8): 213-216 (1997) - [c2]Metin Nafi Gürcan, Yasemin Yardimci, A. Enis Çetin, Rashid Ansari:
Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition. ICASSP 1997: 3069-3072 - 1996
- [c1]Metin Nafi Gürcan, Ömer Nezih Gerek, A. Enis Çetin:
A morphological subband decomposition structure using GF(N) arithmetic. ICIP (1) 1996: 253-256
Coauthor Index
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