Metin N. Gurcan

122 papers B 5C 3Misc 4Journal 44Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	H&E to Oncotype DX: Predicting recurrence risk in HR+/HER2- breast cancer. Expert Syst. Appl. Onur Can Koyun, Yongxin Guo, Ziyu Su, Hao Lu, Mostafa Rezapour, Robert Wesolowski, Gary Tozbikian, M. Khalid Khan Niazi, Metin N. Gurcan
2025	J	`jnl`	BPMambaMIL: A bio-inspired prototype-guided multiple instance learning for oncotype DX risk assessment in histopathology. Comput. Methods Programs Biomed. Yongxin Guo, Ziyu Su, Onur Can Koyun, Hao Lu, Robert Wesolowski, Gary Tozbikian, M. Khalid Khan Niazi, Metin N. Gurcan
2025	J	`jnl`	Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images. CoRR Usama Sajjad, Abdul Rehman Akbar, Ziyu Su, Deborah Knight, Wendy L. Frankel, Metin N. Gurcan, Wei Chen, Muhammad Khalid Khan Niazi
2024	J	`jnl`	Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool. CoRR Ziyu Su, Yongxin Guo, Robert Wesolowski, Gary Tozbikian, Nathaniel S. O'Connell, M. Khalid Khan Niazi, Metin N. Gurcan
2023	—	`conf`	Background detection affects downstream classification of Camelyon16 whole slide images. Digital and Computational Pathology Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan
2023	—	`conf`	Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. Digital and Computational Pathology Thomas E. Tavolara, M. Khalid Khan Niazi, David Jaye, Christopher Flowers, Lee Cooper, Metin N. Gurcan
2023	—	`conf`	Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. Digital and Computational Pathology Thomas E. Tavolara, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi
2023	—	`conf`	Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. Computer-Aided Diagnosis Ziyu Su, Sandhya Kumar, Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi
2023	—	`conf`	Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. Digital and Computational Pathology Thomas E. Tavolara, M. Khalid Khan Niazi, Metin N. Gurcan
2023	—	`conf`	The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. Digital and Computational Pathology Thomas E. Tavolara, Metin N. Gurcan, M. Khalid Khan Niazi
2022	J	`jnl`	A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns 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
2022	J	`jnl`	Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Medical Image Anal. Ziyu Su, Thomas E. Tavolara, Gabriel Carreno-Galeano, Sang Jin Lee, Metin N. Gurcan, M. Khalid Khan Niazi
2022	—	`conf`	Automatic generation of the ground truth for tumor budding using H&E stained slides. Digital and Computational Pathology Thomas E. Tavolara, Arijit Dutta, Martin V. Burks, Wei Chen, Wendy L. Frankel, Metin N. Gurcan, M. Khalid Khan Niazi
2022	J	`jnl`	OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images. Neural Comput. Appl. Hamidullah Binol, M. Khalid Khan Niazi, Charles Elmaraghy, Aaron C. Moberly, Metin N. Gurcan
2022	—	`conf`	Predicting HER2 scores from registered HER2 and H&E images. Digital and Computational Pathology Thomas E. Tavolara, M. Khalid Khan Niazi, Gary Tozbikian, Robert Wesolowski, Metin N. Gurcan
2021	J	`jnl`	A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images. CoRR 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
2021	—	`conf`	Bladder cancer organoid image analysis: textured-based grading. Digital Pathology Seda Camalan, M. Khalid Khan Niazi, Mahesh Devarasetty, Shay Soker, Metin N. Gurcan
2021	—	`conf`	Grading and localization of histological features for bioengineered kidney constructs. Digital Pathology Thomas E. Tavolara, Gabriel Carreno-Galeano, Metin N. Gurcan, Sang Jin Lee, M. Khalid Khan Niazi
2021	J	`jnl`	Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. Comput. Biol. Medicine Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi
2021	—	`conf`	Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. Digital Pathology Thomas E. Tavolara, M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
2021	—	`conf`	Panoptic segmentation of wounds in a pig model. Computer-Aided Diagnosis Thomas E. Tavolara, Adam M. Jorgensen, Metin N. Gurcan, Sean V. Murphy, M. Khalid Khan Niazi
2020	—	`conf`	A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification. Computer-Aided Diagnosis Hamidullah Binol, M. Khalid Khan Niazi, Alisha Plotner, Jennifer Sopkovich, Benjamin Kaffenberger, Metin N. Gurcan
2020	—	`conf`	Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. Computer-Aided Diagnosis 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
2020	—	`conf`	Hotspot detection in pancreatic neuroendocrine images using local depth. Digital Pathology Muhammad Khalid Khan Niazi, Katherine Moore, Kenneth S. Berenhaut, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan
2020	—	`conf`	Identifying bladder layers from H and E images using U-Net image segmentation. Digital Pathology Muhammad Khalid Khan Niazi, Enes Yazgan, Cheryl Lee, Anil Parwani, Metin N. Gurcan
2020	—	`conf`	Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. Digital Pathology Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
2020	J	`jnl`	Tumor Budding Detection System in Whole Slide Pathology Images. J. Medical Syst. Mohammad Faizal Ahmad Fauzi, Wei Chen, Debbie Knight, Heather Hampel, Wendy L. Frankel, Metin N. Gurcan
2020	C	`conf`	Tumor Budding Detection in H&E-Stained Images Using Deep Semantic Learning. TENCON Rasoul Banaeeyan, Mohammad Faizal Ahmad Fauzi, Wei Chen, Debbie Knight, Heather Hampel, Wendy L. Frankel, Metin N. Gurcan
2019	—	`conf`	Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. Digital Pathology Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen, Wendy L. Frankel, Metin N. Gurcan
2019	Misc	`conf`	Developing Biomedical Informatics Capability to Support Learning Health System: Challenges and Potential Solutions. AMIA Martin S. Kohn, Umit Topaloglu, Metin N. Gurcan, Brian J. Wells, Ajay Dharod
2019	—	`conf`	Generalization of tumor identification algorithms. Digital Pathology Muhammad Khalid Khan Niazi, Thomas E. Tavolara, Çaglar Senaras, Gary Tozbikian, Douglas J. Hartman, Vidya Arole, Liron Pantanowitz, Metin N. Gurcan
2019	—	`conf`	Pixels to diagnosis: image analysis for digital pathology (Conference Presentation). Digital Pathology Metin N. Gurcan
2019	J	`jnl`	Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. CoRR Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos
2018	—	`conf`	An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling. Digital Pathology M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
2018	—	`conf`	Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. Digital Pathology M. Khalid Khan Niazi, Thomas E. Tavolara, Vidya Arole, Anil V. Parwani, Cheryl Lee, Metin N. Gurcan
2018	—	`conf`	Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. Digital Pathology Çaglar Senaras, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan
2018	—	`conf`	Detection of eardrum abnormalities using ensemble deep learning approaches. Computer-Aided Diagnosis Çaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan
2018	J	`jnl`	Evolving strategies for the development and evaluation of a computerised melanoma image analysis system. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Aashish B. Katapadi, M. Emre Celebi, Shannon C. Trotter, Metin N. Gurcan
2018	—	`ed.`	Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018 Digital Pathology John Tomaszewski, Metin N. Gurcan
2017	—	`conf`	A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images. Digital Pathology M. Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
2017	—	`conf`	Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features. Computer-Aided Diagnosis Çaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan
2017	J	`jnl`	Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J. Biomed. Informatics Metin N. Gurcan, John Tomaszewski, James A. Overton, Scott Doyle, Alan Ruttenberg, Barry Smith
2017	—	`ed.`	Medical Imaging 2017: Digital Pathology, Orlando, Florida, United States, 11-16 February 2017 Digital Pathology Metin N. Gurcan, John Tomaszewski
2017	J	`jnl`	Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE J. Biomed. Health Informatics M. Khalid Khan Niazi, Keluo Yao, Debra L. Zynger, Steven K. Clinton, James Chen, Mehmet Koyutürk, Thomas LaFramboise, Metin N. Gurcan
2016	—	`conf`	Acne image analysis: lesion localization and classification. Computer-Aided Diagnosis Fazly Salleh Abas, Benjamin Kaffenberger, Joseph Bikowski, Metin N. Gurcan
2016	—	`conf`	Computer-assisted bladder cancer grading: α-shapes for color space decomposition. Digital Pathology M. Khalid Khan Niazi, Anil V. Parwani, Metin N. Gurcan
2016	—	`conf`	Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps. Digital Pathology M. Khalid Khan Niazi, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan
2016	—	`conf`	Intraoperative neuropathology of glioma recurrence: cell detection and classification. Digital Pathology Fazly Salleh Abas, Hamza Numan Gokozan, Behiye Goksel, Jose Javier Otero, Metin N. Gurcan
2016	—	`ed.`	Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February - 3 March 2016 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2016	J	`jnl`	Quantification of liver fat: A comprehensive review. Comput. Biol. Medicine Evgin Göçeri, Zarine K. Shah, Rick R. Layman, Xia Jiang, Metin N. Gurcan
2015	—	`conf`	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 Hatice Çinar Akakin, Hamza N. Gokozan, Jose Javier Otero, Metin N. Gurcan
2015	—	`conf`	Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis. Digital Pathology M. Khalid Khan Niazi, Daniel A. Weiser, Bruce R. Pawel, Metin N. Gurcan
2015	J	`jnl`	Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 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
2015	J	`jnl`	Computerized segmentation and measurement of chronic wound images. Comput. Biol. Medicine Mohammad Faizal Ahmad Fauzi, Ibrahim Khansa, Karen Catignani, Gayle Gordillo, Chandan K. Sen, Metin N. Gurcan
2015	J	`jnl`	Heterogeneity assessment of histological tissue sections in whole slide images. Comput. Medical Imaging Graph. Philippe Belhomme, Simon Toralba, Benoît Plancoulaine, Myriam Oger, Metin N. Gurcan, Catherine Bor-Angelier
2015	—	`ed.`	Medical Imaging 2015: Digital Pathology, Orlando, Florida, United States, 21-26 February 2015 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2014	—	`conf`	Classification of glioblastoma and metastasis for neuropathology intraoperative diagnosis: a multi-resolution textural approach to model the background. Digital Pathology Mohammad Faizal Ahmad Fauzi, Hamza Numan Gokozan, Brad Elder, Vinay K. Puduvalli, Jose Javier Otero, Metin N. Gurcan
2014	—	`conf`	Grading vascularity from histopathological images based on traveling salesman distance and vessel size. Digital Pathology M. Khalid Khan Niazi, Jessica Hemminger, Habibe Kurt, Gerard Lozanski, Metin N. Gurcan
2014	—	`conf`	Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach. Digital Pathology M. Khalid Khan Niazi, Erinn Downs-Kelly, Metin N. Gurcan
2014	—	`ed.`	Medical Imaging 2014: Digital Pathology, San Diego, California, United States, 15-20 February 2014 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2014	—	`conf`	Segmentation and automated measurement of chronic wound images: probability map approach. Computer-Aided Diagnosis Mohammad Faizal Ahmad Fauzi, Ibrahim Khansa, Karen Catignani, Gayle Gordillo, Chandan K. Sen, Metin N. Gurcan
2013	—	`conf`	An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies. Digital Pathology M. Khalid Khan Niazi, Anjali A. Satoskar, Metin N. Gurcan
2013	—	`conf`	Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. Digital Pathology 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
2013	J	`jnl`	Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images. J. Digit. Imaging Ü. Erkan Mumcuoglu, Frederick R. Long, Robert G. Castile, Metin N. Gurcan
2013	—	`ed.`	Medical Imaging 2013: Digital Pathology, Lake Buena Vista (Orlando Area), Florida, United States, 9-14 February 2013 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2013	—	`conf`	Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading. Digital Pathology Evrim Acar, Gerard Lozanski, Metin N. Gurcan
2012	J	`jnl`	A general framework for the segmentation of follicular lymphoma virtual slides. Comput. Medical Imaging Graph. Myriam Oger, Philippe Belhomme, Metin N. Gurcan
2012	J	`jnl`	An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. J. Comput. Sci. Siddharth Samsi, Ashok K. Krishnamurthy, Metin N. Gurcan
2012	J	`jnl`	Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project. J. Am. Medical Informatics Assoc. Philip R. O. Payne, Rebecca D. Jackson, Thomas M. Best, Tara Borlawsky, Albert M. Lai, Stephen L. James, Metin N. Gurcan
2012	—	`conf`	Automated detection of cells from immunohistochemically-stained tissues: application to Ki-67 nuclei staining. Computer-Aided Diagnosis 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
2012	J	`jnl`	Content-Based Microscopic Image Retrieval System for Multi-Image Queries. IEEE Trans. Inf. Technol. Biomed. Hatice Çinar Akakin, Metin N. Gurcan
2011	J	`jnl`	Anatomically Anchored Template-Based Level Set Segmentation: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative. J. Digit. Imaging Jeffrey W. Prescott, Thomas M. Best, Mark S. Swanson, Furqan Haq, Rebecca D. Jackson, Metin N. Gurcan
2011	J	`jnl`	Automatic detection of follicular regions in H&E images using iterative shape index. Comput. Medical Imaging Graph. Kamel Belkacem-Boussaid, Siddharth Samsi, Gerard Lozanski, Metin N. Gurcan
2011	J	`jnl`	Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research. Medical Image Anal. Sufyan Y. Ababneh, Jeffrey W. Prescott, Metin N. Gurcan
2011	B	`conf`	Cell nuclei segmentation for histopathological image analysis. Image Processing Hui Kong, Kamel Belkacem-Boussaid, Metin N. Gurcan
2011	J	`jnl`	Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Eng. Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan
2011	J	`jnl`	Microscopic image analysis for quantitative characterization of muscle fiber type composition. Comput. Medical Imaging Graph. Olcay Sertel, Belma Dogdas, Chi Sung Chiu, Metin N. Gurcan
2011	J	`jnl`	Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting. IEEE Trans. Medical Imaging Hui Kong, Metin N. Gurcan, Kamel Belkacem-Boussaid
2011	J	`jnl`	Special issue on whole slide microscopic image processing. Comput. Medical Imaging Graph. Olivier Lezoray, Metin N. Gurcan, Ali Can, Jean-Christophe Olivo-Marin
2011	—	`conf`	Splitting touching-cell clusters on histopathological images. ISBI Hui Kong, Metin N. Gurcan, Kamel Belkacem-Boussaid
2010	B	`conf`	A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. ICPR Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan
2010	B	`conf`	An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma. ICPR Olcay Sertel, Ümit V. Çatalyürek, Gerard Lozanski, Arwa Shanaah, Metin N. Gurcan
2010	J	`jnl`	Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation. IEEE Trans. Biomed. Eng. Olcay Sertel, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan
2010	B	`conf`	Content-adaptive color transform for image compression. ICIP Alexander Suhre, Kivanç Köse, A. Enis Çetin, Metin N. Gurcan
2010	J	`jnl`	Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. IEEE Trans. Biomed. Eng. Siddharth Samsi, Gerard Lozanski, Arwa Shanaah, Ashok K. Krishnamurthy, Metin N. Gurcan
2010	—	`conf`	Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases. ISBI Kamel Belkacem-Boussaid, Michael Pennell, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan
2010	—	`conf`	Muscle histology image analysis for sarcopenia: registration of successive sections with distinct ATPase activity. ISBI Olcay Sertel, Belma Dogdas, Chi Sung Chiu, Metin N. Gurcan
2010	—	`conf`	Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot
2010	—	`conf`	Segmentation of follicular regions on H&E slides using a matching filter and active contour model. Computer-Aided Diagnosis Kamel Belkacem-Boussaid, Jeffrey W. Prescott, Gerard Lozanski, Metin N. Gurcan
2010	J	`jnl`	Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation. J. Digit. Imaging Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan
2009	J	`jnl`	A Knowledge-Anchored Integrative Image Search and Retrieval System. J. Digit. Imaging Selnur Erdal, Ümit V. Çatalyürek, Philip R. O. Payne, Joel H. Saltz, Jyoti Kamal, Metin N. Gurcan
2009	J	`jnl`	Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation. Pattern Recognit. Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan
2009	J	`jnl`	Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development. Pattern Recognit. Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan
2009	C	`conf`	Coordinating the use of GPU and CPU for improving performance of compute intensive applications. CLUSTER George Teodoro, Rafael Sachetto Oliveira, Olcay Sertel, Metin N. Gurcan, Wagner Meira Jr., Ümit V. Çatalyürek, Renato Ferreira
2009	J	`jnl`	Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. Comput. Methods Programs Biomed. Lee Cooper, Olcay Sertel, Jun Kong, Gerard Lozanski, Kun Huang, Metin N. Gurcan
2009	J	`jnl`	Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading. J. Signal Process. Syst. Olcay Sertel, Jun Kong, Ümit V. Çatalyürek, Gerard Lozanski, Joel H. Saltz, Metin N. Gurcan
2009	J	`jnl`	Stroma classification for neuroblastoma on graphics processors. Int. J. Data Min. Bioinform. Antonio Ruiz, Olcay Sertel, Manuel Ujaldon, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan
2009	—	`conf`	Template-based level set segmentation using anatomical information. ISCIS Jeffrey W. Prescott, Mark S. Swanson, Kimerly A. Powell, Metin N. Gurcan, Furqan Haq, Thomas M. Best, Rebecca D. Jackson
2009	J	`jnl`	VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid. J. Digit. Imaging Ashish Sharma, Tony Pan, Berkant Barla Cambazoglu, Metin N. Gurcan, Tahsin M. Kurç, Joel H. Saltz
2008	—	`conf`	A multi-resolution image analysis system for computer-assisted grading of neuroblastoma differentiation. Computer-Aided Diagnosis Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan
2008	—	`conf`	Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification. MICCAI (2) Hammad Qureshi, Olcay Sertel, Nasir M. Rajpoot, Roland Wilson, Metin N. Gurcan
2008	J	`jnl`	Analysis and Semantic Querying in Large Biomedical Image Datasets. Computer Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz
2008	—	`conf`	Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer. Computer-Aided Diagnosis Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan
2008	—	`conf`	Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images. Computer-Aided Diagnosis Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan
2008	—	`conf`	Computerized microscopic image analysis of follicular lymphoma. Computer-Aided Diagnosis Olcay Sertel, Jun Kong, Gerard Lozanski, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan
2008	—	`conf`	Pathological image segmentation for neuroblastoma using the GPU. ISBI Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan
2008	Misc	`conf`	Processing of Large-Scale Biomedical Images on a Cluster of Multicore CPUs and GPUs. High Performance Computing Workshop Ümit V. Çatalyürek, Timothy D. R. Hartley, Olcay Sertel, Manuel Ujaldon, Antonio Ruiz, Joel H. Saltz, Metin N. Gurcan
2008	Misc	`conf`	Texture classification using nonlinear color quantization: Application to histopathological image analysis. ICASSP Olcay Sertel, Jun Kong, Gerard Lozanski, Arwa Shanaah, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan
2008	J	`jnl`	e-Science, caGrid, and Translational Biomedical Research. Computer 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
2007	—	`conf`	Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach. ICIP (5) Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan
2007	Misc	`conf`	Computerized Pathological Image Analysis For Neuroblastoma Prognosis. AMIA Metin N. Gurcan, Jun Kong, Olcay Sertel, Berkant Barla Cambazoglu, Joel H. Saltz, Ümit V. Çatalyürek
2007	—	`conf`	Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma. CLADE@HPDC Berkant Barla Cambazoglu, Olcay Sertel, Jun Kong, Joel H. Saltz, Metin N. Gurcan, Ümit V. Çatalyürek
2007	J	`jnl`	GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support. J. Digit. Imaging 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
2007	—	`conf`	Image Analysis for Automated Assessment of Grade of Neuroblastic Differentiation. ISBI Jun Kong, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan
2007	—	`conf`	Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma. BIBM Antonio Ruiz, Olcay Sertel, Manuel Ujaldon, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan
2007	C	`conf`	Performance vs. accuracy trade-offs for large-scale image analysis applications. CLUSTER Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz
2006	—	`conf`	Image Analysis for Neuroblastoma Classification: Segmentation of Cell Nuclei. EMBC Metin N. Gurcan, Tony Pan, Hiroyuki Shimada, Joel H. Saltz
2006	B	`conf`	Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods. Image Processing Metin N. Gurcan, Randy Ernst, Aytekin Oto, Steve Worrell, Jeffrey W. Hoffmeister, Steve Rogers
2003	—	`conf`	Automated global matching of temporal thoracic helical CT studies: feasibility study. CARS Metin N. Gurcan, Russell C. Hardie, Steven K. Rogers, D. E. Dozer, Brent H. Allen, R. V. Burns, Jeffrey W. Hoffmeister
2001	J	`jnl`	Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. IEEE Trans. Medical Imaging Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan
1999	—	`conf`	Microcalcification segmentation and mammogram image enhancement using nonlinear filtering. NSIP Metin N. Gurcan, Yasemin Yardimci, A. Enis Çetin
1999	—	`ed.`	Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), Antalya, Turkey, June 20-23, 1999 NSIP A. Enis Çetin, Lale Akarun, Aysin Ertüzün, Metin N. Gurcan, Yasemin Yardimci