Metin N. Gurcan

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 36

Top Venues

Medical Imaging: Digital Pathology

Medical Imaging: Computer-Aided Diagnosis

Comput. Biol. Medicine

CoRR

Publications

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)
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) (2022)
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) (2022)
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 (2022)
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)
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)
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)
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 (2021)
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 (2021)
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)
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)
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)
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)
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) (2020)
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)
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)
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)
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)
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)
Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. CoRR (2019)
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)
Metin N. Gurcan
Pixels to diagnosis: image analysis for digital pathology (Conference Presentation). Medical Imaging: Digital Pathology (2019)
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)
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) (2018)
Çaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yua, Metin N. Gurcan
Detection of eardrum abnormalities using ensemble deep learning approaches. Medical Imaging: Computer-Aided Diagnosis (2018)
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)
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)
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 (2017)
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)
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) (2017)
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)
Fazly Salleh Abas, Hamza Numan Gokozan, Behiye Goksel, Jose J. Otero, Metin N. Gurcan
Intraoperative neuropathology of glioma recurrence: cell detection and classification. Medical Imaging: Digital Pathology (2016)
Fazly Salleh Abas, Benjamin Kaffenberger, Joseph Bikowski, Metin N. Gurcan
Acne image analysis: lesion localization and classification. Medical Imaging: Computer-Aided Diagnosis (2016)
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)
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)
Evgin Göçeri, Zarine K. Shah, Rick R. Layman, Xia Jiang, Metin N. Gurcan
Quantification of liver fat: A comprehensive review. Comput. Biol. Medicine 71 (2016)
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 (2015)
Hatice Çinar Akakin, Hamza N. Gokozan, Jose J. 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)
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)
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 (2015)
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 (2015)
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)
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)
Mohammad Faizal Ahmad Fauzi, Hamza Numan Gokozan, Brad Elder, Vinay K. Puduvalli, Jose J. 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)
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)
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)
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)
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)
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) (2013)
Hatice Çinar Akakin, Metin N. Gurcan
Content-Based Microscopic Image Retrieval System for Multi-Image Queries. IEEE Trans. Inf. Technol. Biomed. 16 (4) (2012)
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) (2012)
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) (2012)
Myriam Oger, Philippe Belhomme, Metin N. Gurcan
A general framework for the segmentation of follicular lymphoma virtual slides. Comput. Medical Imaging Graph. 36 (6) (2012)
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)
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) (2011)
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) (2011)
Hui Kong, Kamel Belkacem-Boussaid, Metin N. Gurcan
Cell nuclei segmentation for histopathological image analysis. Medical Imaging: Image Processing (2011)
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) (2011)
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) (2011)
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) (2011)
Hui Kong, Metin N. Gurcan, Kamel Belkacem-Boussaid
Splitting touching-cell clusters on histopathological images. ISBI (2011)
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) (2011)
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) (2011)
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)
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)
Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot
Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests (2010)
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)
Alexander Suhre, Kivanç Köse, A. Enis Çetin, Metin N. Gurcan
Content-adaptive color transform for image compression. ICIP (2010)
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)
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) (2010)
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) (2010)
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)
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) (2010)
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)
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) (2009)
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) (2009)
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) (2009)
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) (2009)
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) (2009)
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)
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) (2009)
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) (2009)
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)
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)
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)
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)
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) (2008)
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) (2008)
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)
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)
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)
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)
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)
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)
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)
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)
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) (2007)
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)
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)
Metin N. Gurcan, Tony Pan, Hiroyuki Shimada, Joel H. Saltz
Image Analysis for Neuroblastoma Classification: Segmentation of Cell Nuclei. EMBC (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Metin N. Gurcan