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ORCIDMetin Nafi Gürcan
M. Nafi Gürcan – Metin N. Gurcan
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2020 – today
- 2024
[j47]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. Frontiers Artif. Intell. 7 (2024)- [j46]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) - [j45]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. IEEE J. Biomed. Health Informatics 28(12): 7206-7216 (2024) - [i8]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) - [i7]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) - [i6]Mostafa Rezapour, Aarthi Narayanan, Wyatt H. Mowery, Metin Nafi Gürcan:
Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning. CoRR abs/2410.23433 (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) - [c88]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. Computer-Aided Diagnosis 2023 - [c87]Thomas E. Tavolara, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. Digital and Computational Pathology 2023 - [c86]Thomas E. Tavolara, Metin N. Gurcan, M. Khalid Khan Niazi:
The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. Digital and Computational Pathology 2023 - [c85]Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan:
Background detection affects downstream classification of Camelyon16 whole slide images. Digital and Computational Pathology 2023 - [c84]Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan:
Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. Digital and Computational Pathology 2023 - [c83]Thomas E. Tavolara, M. Khalid Khan Niazi, David Jaye, Christopher Flowers, Lee Cooper, Metin N. Gurcan:
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. Digital and Computational Pathology 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) - [c82]Thomas E. Tavolara, Arijit Dutta, Martin V. Burks, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi:
Automatic generation of the ground truth for tumor budding using H&E stained slides. Digital and Computational Pathology 2022 - [c81]Thomas E. Tavolara, M. Khalid Khan Niazi, Gary Tozbikian, Robert Wesolowski, Metin N. Gurcan:
Predicting HER2 scores from registered HER2 and H&E images. Digital and Computational Pathology 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. 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. 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. 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. 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. 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. 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. 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. 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. 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 J. 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. 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. Digital Pathology 2019: 109560R - [c67]Metin N. Gurcan:
Pixels to diagnosis: image analysis for digital pathology (Conference Presentation). 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. 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. 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. 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. 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. 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. Digital Pathology 2018: 1058108 - [e7]John 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. 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. 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. Digital Pathology 2017: 101400E - [e6]Metin N. Gurcan, John 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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]