A morphological subband decomposition structure using GF(N) arithmetic. - Metin Nafi Gürcan; Ömer Nezih Gerek; A. Enis Çetin (ICIP (1), 1996)

Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition. - Metin Nafi Gürcan; Yasemin Yardimci; A. Enis Çetin; Rashid Ansari (ICASSP, 1997)

Detection of microcalcifications in mammograms using higher order statistics. - M. Nafi Gürcan; Yasemin Yardimci; A. Enis Çetin; Rashid Ansari (IEEE Signal Process. Lett., 1997)

Microcalcifications Detection Using Adaptive Filtering and Gaussianity Tests. - M. Nafi Gürcan; Yasemin Yardimci; A. Enis Çetin (Digital Mammography / IWDM, 1998)

Nonlinear subband decomposition structures in GF-(N) arithmetic. - M. Nafi Gürcan; Ömer Nezih Gerek; A. Enis Çetin (Signal Process., 1998)

Influence Function Based Gaussianity Tests for Detection of Microcalcifications in Mammogram Images. - M. Nafi Gürcan; Yasemin Yardimci; A. Enis Çetin (ICIP (3), 1999)

Microcalcification segmentation and mammogram image enhancement using nonlinear filtering. - Metin N. Gurcan; Yasemin Yardimci; A. Enis Çetin (NSIP, 1999)

Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. - Metin Nafi Gürcan; Nicholas Petrick; Berkman Sahiner; Heang-Ping Chan; Philip N. Cascade; Ella A. Kazerooni; Lubomir M. Hadjiiski (Image Processing, 2001)

Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Metin Nafi Gürcan (Image Processing, 2001)

Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. - Berkman Sahiner; Nicholas Petrick; Heang-Ping Chan; Lubomir M. Hadjiiski; Chintana Paramagul; Mark A. Helvie; Metin N. Gurcan (IEEE Trans. Medical Imaging, 2001)

Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. - Metin Nafi Gürcan; Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Nicholas Petrick; Mark A. Helvie (Image Processing, 2002)

Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. - Lubomir M. Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Mark A. Helvie; Marilyn A. Roubidoux; Metin Nafi Gürcan (Image Processing, 2002)

Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. - Berkman Sahiner; Metin Nafi Gürcan; Heang-Ping Chan; Lubomir M. Hadjiiski; Nicholas Petrick; Mark A. Helvie (Image Processing, 2002)

Automated global matching of temporal thoracic helical CT studies: feasibility study. - Metin N. Gurcan; Russell C. Hardie; Steven K. Rogers; D. E. Dozer; Brent H. Allen; R. V. Burns; Jeffrey W. Hoffmeister (CARS, 2003)

Image Analysis for Neuroblastoma Classification: Segmentation of Cell Nuclei. - Metin N. Gurcan; Tony Pan; Hiroyuki Shimada; Joel H. Saltz (EMBC, 2006)

Service-Based Access to and Processing of Large Scientific Datasets. - Ümit V. Çatalyürek; Sivaramakrishnan Narayanan; Olcay Sertel; Jun Kong 002; Berkant Barla Cambazoglu; Tony Pan; Ashish Sharma 001; Shannon Hastings; Stephen Langella; Scott Oster; Tahsin M. Kurç; Metin Nafi Gürcan; et al. (High Performance Computing Workshop, 2006)

Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods. - Metin N. Gurcan; Randy Ernst; Aytekin Oto; Steve Worrell; Jeffrey W. Hoffmeister; Steve Rogers (Image Processing, 2006)

Computerized Pathological Image Analysis For Neuroblastoma Prognosis. - Metin N. Gurcan; Jun Kong 002; Olcay Sertel; Berkant Barla Cambazoglu; Joel H. Saltz; Ümit V. Çatalyürek (AMIA, 2007)

Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma. - Antonio Ruiz; Olcay Sertel; Manuel Ujaldon; Ümit V. Çatalyürek; Joel H. Saltz; Metin N. Gurcan (BIBM, 2007)

Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma. - Berkant Barla Cambazoglu; Olcay Sertel; Jun Kong 002; Joel H. Saltz; Metin N. Gurcan; Ümit V. Çatalyürek (CLADE@HPDC, 2007)

Performance vs. accuracy trade-offs for large-scale image analysis applications. - Vijay S. Kumar; Tahsin M. Kurç; Jun Kong 002; Ümit V. Çatalyürek; Metin N. Gurcan; Joel H. Saltz (CLUSTER, 2007)

Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach. - Jun Kong 002; Olcay Sertel; Hiroyuki Shimada; Kim L. Boyer; Joel H. Saltz; Metin N. Gurcan (ICIP (5), 2007)

Image Analysis for Automated Assessment of Grade of Neuroblastic Differentiation. - Jun Kong 002; Hiroyuki Shimada; Kim L. Boyer; Joel H. Saltz; Metin N. Gurcan (ISBI, 2007)

GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support. - Metin N. Gurcan; Tony Pan; Ashish Sharma 001; Tahsin M. Kurç; Scott Oster; Stephen Langella; Shannon Hastings; Khan M. Siddiqui; Eliot L. Siegel; Joel H. Saltz (J. Digit. Imaging, 2007)

Processing of Large-Scale Biomedical Images on a Cluster of Multicore CPUs and GPUs. - Ümit V. Çatalyürek; Timothy D. R. Hartley; Olcay Sertel; Manuel Ujaldon; Antonio Ruiz; Joel H. Saltz; Metin N. Gurcan (High Performance Computing Workshop, 2008)

Texture classification using nonlinear color quantization: Application to histopathological image analysis. - Olcay Sertel; Jun Kong 002; Gerard Lozanski; Arwa Shanaah; Ümit V. Çatalyürek; Joel H. Saltz; Metin N. Gurcan (ICASSP, 2008)

Pathological image segmentation for neuroblastoma using the GPU. - Antonio Ruiz; Jun Kong 002; Manuel Ujaldon; Kim L. Boyer; Joel H. Saltz; Metin N. Gurcan (ISBI, 2008)

A multi-resolution image analysis system for computer-assisted grading of neuroblastoma differentiation. - Jun Kong 002; Olcay Sertel; Hiroyuki Shimada; Kim L. Boyer; Joel H. Saltz; Metin N. Gurcan (Computer-Aided Diagnosis, 2008)

Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer. - Jeffrey W. Prescott; Dongqing Zhang; Jian Z. Wang; Nina A. Mayr; William T. C. Yuh; Joel H. Saltz; Metin N. Gurcan (Computer-Aided Diagnosis, 2008)

Computerized microscopic image analysis of follicular lymphoma. - Olcay Sertel; Jun Kong 002; Gerard Lozanski; Ümit V. Çatalyürek; Joel H. Saltz; Metin N. Gurcan (Computer-Aided Diagnosis, 2008)

Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images. - Olcay Sertel; Jun Kong 002; Hiroyuki Shimada; Ümit V. Çatalyürek; Joel H. Saltz; Metin N. Gurcan (Computer-Aided Diagnosis, 2008)

Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification. - Hammad Qureshi; Olcay Sertel; Nasir M. Rajpoot; Roland Wilson; Metin N. Gurcan (MICCAI (2), 2008)

Analysis and Semantic Querying in Large Biomedical Image Datasets. - Vijay S. Kumar; Sivaramakrishnan Narayanan; Tahsin M. Kurç; Jun Kong 002; Metin N. Gurcan; Joel H. Saltz (Computer, 2008)

e-Science, caGrid, and Translational Biomedical Research. - Joel H. Saltz; Tahsin M. Kurç; Shannon Hastings; Stephen Langella; Scott Oster; David Ervin; Ashish Sharma 001; Tony Pan; Metin N. Gurcan; Justin Permar; Renato Ferreira 001; Philip R. O. Payne; et al. (Computer, 2008)

Coordinating the use of GPU and CPU for improving performance of compute intensive applications. - George Teodoro; Rafael Sachetto Oliveira; Olcay Sertel; Metin N. Gurcan; Wagner Meira Jr.; Ümit V. Çatalyürek; Renato Ferreira 001 (CLUSTER, 2009)

Template-based level set segmentation using anatomical information. - Jeffrey W. Prescott; Mark S. Swanson; Kimerly A. Powell; Metin N. Gurcan; Furqan Haq; Thomas M. Best; Rebecca D. Jackson (ISCIS, 2009)

Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. - Lee Cooper 001; Olcay Sertel; Jun Kong 002; Gerard Lozanski; Kun Huang 001; Metin N. Gurcan (Comput. Methods Programs Biomed., 2009)

Stroma classification for neuroblastoma on graphics processors. - Antonio Ruiz; Olcay Sertel; Manuel Ujaldon; Ümit V. Çatalyürek; Joel H. Saltz; Metin N. Gurcan (Int. J. Data Min. Bioinform., 2009)

A Knowledge-Anchored Integrative Image Search and Retrieval System. - Selnur Erdal; Ümit V. Çatalyürek; Philip R. O. Payne; Joel H. Saltz; Jyoti Kamal; Metin N. Gurcan (J. Digit. Imaging, 2009)

VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid. - Ashish Sharma 001; Tony Pan; Berkant Barla Cambazoglu; Metin N. Gurcan; Tahsin M. Kurç; Joel H. Saltz (J. Digit. Imaging, 2009)

Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation. - Jun Kong 002; Olcay Sertel; Hiroyuki Shimada; Kim L. Boyer; Joel H. Saltz; Metin N. Gurcan (Pattern Recognit., 2009)

Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development. - Olcay Sertel; Jun Kong 002; Hiroyuki Shimada; Ümit V. Çatalyürek; Joel H. Saltz; Metin N. Gurcan (Pattern Recognit., 2009)

Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading. - Olcay Sertel; Jun Kong 002; Ümit V. Çatalyürek; Gerard Lozanski; Joel H. Saltz; Metin N. Gurcan (J. Signal Process. Syst., 2009)

Content-adaptive color transform for image compression. - Alexander Suhre; Kivanç Köse; A. Enis Çetin; Metin N. Gurcan (ICIP, 2010)

A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. - Murat Dundar; Sunil Badve; Vikas C. Raykar; Rohit K. Jain; Olcay Sertel; Metin N. Gurcan (ICPR, 2010)

Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. - Metin N. Gurcan; Anant Madabhushi; Nasir M. Rajpoot (ICPR Contests, 2010)

An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma. - Olcay Sertel; Ümit V. Çatalyürek; Gerard Lozanski; Arwa Shanaah; Metin N. Gurcan (ICPR, 2010)

Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases. - Kamel Belkacem-Boussaid; Michael Pennell; Gerard Lozanski; Arwa Shana'ah; Metin N. Gurcan (ISBI, 2010)

Muscle histology image analysis for sarcopenia: registration of successive sections with distinct ATPase activity. - Olcay Sertel; Belma Dogdas; Chi Sung Chiu; Metin N. Gurcan (ISBI, 2010)

Segmentation of follicular regions on H&E slides using a matching filter and active contour model. - Kamel Belkacem-Boussaid; Jeffrey W. Prescott; Gerard Lozanski; Metin N. Gurcan (Computer-Aided Diagnosis, 2010)

An analysis of methods for the selection of atlases for use in medical image segmentation. - Jeffrey W. Prescott; Thomas M. Best; Furqan Haq; Rebecca D. Jackson; Metin Nafi Gürcan (Image Processing, 2010)

Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation. - Jeffrey W. Prescott; Dongqing Zhang; Jian Z. Wang; Nina A. Mayr; William T. C. Yuh; Joel H. Saltz; Metin N. Gurcan (J. Digit. Imaging, 2010)

Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. - Siddharth Samsi; Gerard Lozanski; Arwa Shanaah; Ashok K. Krishnamurthy 001; Metin N. Gurcan (IEEE Trans. Biomed. Eng., 2010)

Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation. - Olcay Sertel; Gerard Lozanski; Arwa Shana'ah; Metin N. Gurcan (IEEE Trans. Biomed. Eng., 2010)

Splitting touching-cell clusters on histopathological images. - Hui Kong 001; Metin N. Gurcan; Kamel Belkacem-Boussaid (ISBI, 2011)

Cell nuclei segmentation for histopathological image analysis. - Hui Kong 001; Kamel Belkacem-Boussaid; Metin N. Gurcan (Image Processing, 2011)

Automatic detection of follicular regions in H&E images using iterative shape index. - Kamel Belkacem-Boussaid; Siddharth Samsi; Gerard Lozanski; Metin N. Gurcan (Comput. Medical Imaging Graph., 2011)

Special issue on whole slide microscopic image processing. - Olivier Lezoray; Metin N. Gurcan; Ali Can; Jean-Christophe Olivo-Marin (Comput. Medical Imaging Graph., 2011)

Microscopic image analysis for quantitative characterization of muscle fiber type composition. - Olcay Sertel; Belma Dogdas; Chi Sung Chiu; Metin N. Gurcan (Comput. Medical Imaging Graph., 2011)

Anatomically Anchored Template-Based Level Set Segmentation: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative. - Jeffrey W. Prescott; Thomas M. Best; Mark S. Swanson; Furqan Haq; Rebecca D. Jackson; Metin N. Gurcan (J. Digit. Imaging, 2011)

Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research. - Sufyan Y. Ababneh; Jeffrey W. Prescott; Metin N. Gurcan (Medical Image Anal., 2011)

Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. - Murat Dundar; Sunil Badve; Gökhan Bilgin; Vikas C. Raykar; Rohit K. Jain; Olcay Sertel; Metin N. Gurcan (IEEE Trans. Biomed. Eng., 2011)

Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting. - Hui Kong 001; Metin N. Gurcan; Kamel Belkacem-Boussaid (IEEE Trans. Medical Imaging, 2011)

Automated detection of cells from immunohistochemically-stained tissues: application to Ki-67 nuclei staining. - Hatice Çinar Akakin; Hui Kong 001; Camille Elkins; Jessica Hemminger; Barrie Miller; Jin Ming; Elizabeth Plocharczyk; Rachel Roth; Mitchell Weinberg; Rebecca Ziegler; Gerard Lozanski; Metin N. Gurcan (Computer-Aided Diagnosis, 2012)

Follicular lymphoma grading using cell-graphs and multi-scale feature analysis. - Basak Oztan; Hui Kong 001; Metin Nafi Gürcan; Bülent Yener (Computer-Aided Diagnosis, 2012)

Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma. - Yagmur Gizem Cinar; Hatice Çinar Akakin; Metin Nafi Gürcan (SIU, 2012)

A general framework for the segmentation of follicular lymphoma virtual slides. - Myriam Oger; Philippe Belhomme; Metin N. Gurcan (Comput. Medical Imaging Graph., 2012)

Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project. - Philip R. O. Payne; Rebecca D. Jackson; Thomas M. Best; Tara Borlawsky; Albert M. Lai; Stephen L. James; Metin N. Gurcan (J. Am. Medical Informatics Assoc., 2012)

An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. - Siddharth Samsi; Ashok K. Krishnamurthy 001; Metin N. Gurcan (J. Comput. Sci., 2012)

Content-Based Microscopic Image Retrieval System for Multi-Image Queries. - Hatice Çinar Akakin; Metin N. Gurcan (IEEE Trans. Inf. Technol. Biomed., 2012)

Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading. - Evrim Acar; Gerard Lozanski; Metin N. Gurcan (Digital Pathology, 2013)

Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. - 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; et al. (Digital Pathology, 2013)

An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies. - M. Khalid Khan Niazi; Anjali A. Satoskar; Metin N. Gurcan (Digital Pathology, 2013)

Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images. - Ü. Erkan Mumcuoglu; Frederick R. Long; Robert G. Castile; Metin N. Gurcan (J. Digit. Imaging, 2013)

Segmentation and automated measurement of chronic wound images: probability map approach. - Mohammad Faizal Ahmad Fauzi; Ibrahim Khansa; Karen Catignani; Gayle Gordillo; Chandan K. Sen; Metin N. Gurcan (Computer-Aided Diagnosis, 2014)

Classification of glioblastoma and metastasis for neuropathology intraoperative diagnosis: a multi-resolution textural approach to model the background. - Mohammad Faizal Ahmad Fauzi; Hamza Numan Gokozan; Brad Elder; Vinay K. Puduvalli; Jose Javier Otero; Metin N. Gurcan (Digital Pathology, 2014)

Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach. - M. Khalid Khan Niazi; Erinn Downs-Kelly; Metin N. Gurcan (Digital Pathology, 2014)

Grading vascularity from histopathological images based on traveling salesman distance and vessel size. - M. Khalid Khan Niazi; Jessica Hemminger; Habibe Kurt; Gerard Lozanski; Metin N. Gurcan (Digital Pathology, 2014)

Fully automated liver segmentation from SPIR image series. - Evgin Göçeri; Metin Nafi Gürcan; Oguz Dicle (Comput. Biol. Medicine, 2014)

Massively multithreaded maxflow for image segmentation on the Cray XMT-2. - Shahid H. Bokhari; Ümit V. Çatalyürek; Metin Nafi Gürcan (Concurr. Comput. Pract. Exp., 2014)

Prognostic Reporting of p53 Expression by Image Analysis in Glioblastoma Patients: Detection and Classification. - Mohammad Faizal Ahmad Fauzi; Hamza N. Gokozan; Christopher R. Pierson; Jose Javier Otero; Metin Nafi Gürcan (HIS, 2015)

An adaptive algorithm for detection of multiple-type, positively stained nuclei in IHC images with minimal prior information: application to OLIG2 staining gliomas. - Hatice Çinar Akakin; Hamza N. Gokozan; Jose Javier Otero; Metin N. Gurcan (Digital Pathology, 2015)

Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis. - M. Khalid Khan Niazi; Daniel A. Weiser; Bruce R. Pawel; Metin N. Gurcan (Digital Pathology, 2015)

Computerized segmentation and measurement of chronic wound images. - Mohammad Faizal Ahmad Fauzi; Ibrahim Khansa; Karen Catignani; Gayle Gordillo; Chandan K. Sen; Metin N. Gurcan (Comput. Biol. Medicine, 2015)

Heterogeneity assessment of histological tissue sections in whole slide images. - Philippe Belhomme; Simon Toralba; Benoît Plancoulaine; Myriam Oger; Metin N. Gurcan; Catherine Bor-Angelier (Comput. Medical Imaging Graph., 2015)

Classification of follicular lymphoma: the effect of computer aid on pathologists grading. - Mohammad Faizal Ahmad Fauzi; Michael Pennell; Berkman Sahiner; Weijie Chen 007; Arwa Shana'ah; Jessica Hemminger; Alejandro Gru; Habibe Kurt; Michael Losos; Amy Joehlin-Price; Christina Kavran; Stephen M. Smith 002; et al. (BMC Medical Informatics Decis. Mak., 2015)

Acne image analysis: lesion localization and classification. - Fazly Salleh Abas; Benjamin Kaffenberger; Joseph Bikowski; Metin N. Gurcan (Computer-Aided Diagnosis, 2016)

Intraoperative neuropathology of glioma recurrence: cell detection and classification. - Fazly Salleh Abas; Hamza Numan Gokozan; Behiye Goksel; Jose Javier Otero; Metin N. Gurcan (Digital Pathology, 2016)

Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps. - M. Khalid Khan Niazi; Douglas J. Hartman; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2016)

Computer-assisted bladder cancer grading: α-shapes for color space decomposition. - M. Khalid Khan Niazi; Anil V. Parwani; Metin N. Gurcan (Digital Pathology, 2016)

Quantification of liver fat: A comprehensive review. - Evgin Göçeri; Zarine K. Shah; Rick R. Layman; Xia Jiang; Metin N. Gurcan (Comput. Biol. Medicine, 2016)

Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features. - Çaglar Senaras; Aaron C. Moberly; Theodoros Teknos; Garth Essig; Charles Elmaraghy; Nazhat Taj-Schaal; Lianbo Yu; Metin N. Gurcan (Computer-Aided Diagnosis, 2017)

A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images. - M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2017)

FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. - Çaglar Senaras; Michael Pennell; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2017)

Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. - Metin N. Gurcan; John Tomaszewski 001; James A. Overton; Scott Doyle; Alan Ruttenberg; Barry Smith 001 (J. Biomed. Informatics, 2017)

Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. - M. Khalid Khan Niazi; Keluo Yao; Debra L. Zynger; Steven K. Clinton; James Chen; Mehmet Koyutürk; Thomas LaFramboise; Metin N. Gurcan (IEEE J. Biomed. Health Informatics, 2017)

Detection of eardrum abnormalities using ensemble deep learning approaches. - Çaglar Senaras; Aaron C. Moberly; Theodoros Teknos; Garth Essig; Charles Elmaraghy; Nazhat Taj-Schaal; Lianbo Yu; Metin N. Gurcan (Computer-Aided Diagnosis, 2018)

An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling. - M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2018)

Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. - M. Khalid Khan Niazi; Thomas E. Tavolara; Vidya Arole; Anil V. Parwani; Cheryl Lee; Metin N. Gurcan (Digital Pathology, 2018)

Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. - Çaglar Senaras; Michael Pennell; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2018)

Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. - Çaglar Senaras; Berkman Sahiner; Gary Tozbikian; Gerard Lozanski; Metin N. Gurcan (Digital Pathology, 2018)

Evolving strategies for the development and evaluation of a computerised melanoma image analysis system. - Aashish B. Katapadi; M. Emre Celebi 001; Shannon C. Trotter; Metin N. Gurcan (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Developing Biomedical Informatics Capability to Support Learning Health System: Challenges and Potential Solutions. - Martin S. Kohn; Umit Topaloglu; Metin N. Gurcan; Brian J. Wells; Ajay Dharod (AMIA, 2019)

Pixels to diagnosis: image analysis for digital pathology (Conference Presentation). - Metin N. Gurcan (Digital Pathology, 2019)

Generalization of tumor identification algorithms. - Muhammad Khalid Khan Niazi; Thomas E. Tavolara; Çaglar Senaras; Gary Tozbikian; Douglas J. Hartman; Vidya Arole; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2019)

Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. - Çaglar Senaras; M. Khalid Khan Niazi; Vidya Arole; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2019)

Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. - Thomas E. Tavolara; Muhammad Khalid Khan Niazi; Wei Chen; Wendy L. Frankel; Metin N. Gurcan (Digital Pathology, 2019)

Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. - M. Khalid Khan Niazi; Yuzhang Lin; Feng Liu 012; Amit Ashok; Michael W. Marcellin; Gary Tozbikian; Metin Nafi Gürcan; Ali Bilgin (Artif. Intell. Medicine, 2019)

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. - Saima Rathore; Muhammad Aksam Iftikhar; Metin N. Gurcan; Zissimos Mourelatos (CoRR, 2019)

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. - 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 (Computer-Aided Diagnosis, 2020)

A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification. - Hamidullah Binol; M. Khalid Khan Niazi; Alisha Plotner; Jennifer Sopkovich; Benjamin Kaffenberger; Metin N. Gurcan (Computer-Aided Diagnosis, 2020)

Hotspot detection in pancreatic neuroendocrine images using local depth. - Muhammad Khalid Khan Niazi; Katherine Moore; Kenneth S. Berenhaut; Douglas J. Hartman; Liron Pantanowitz; Metin N. Gurcan (Digital Pathology, 2020)

Identifying bladder layers from H and E images using U-Net image segmentation. - Muhammad Khalid Khan Niazi; Enes Yazgan; Cheryl Lee; Anil Parwani; Metin N. Gurcan (Digital Pathology, 2020)

Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. - Thomas E. Tavolara; Muhammad Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2020)

Tumor Budding Detection in H&E-Stained Images Using Deep Semantic Learning. - Rasoul Banaeeyan; Mohammad Faizal Ahmad Fauzi; Wei Chen; Debbie Knight; Heather Hampel; Wendy L. Frankel; Metin N. Gurcan (TENCON, 2020)

Tumor Budding Detection System in Whole Slide Pathology Images. - Mohammad Faizal Ahmad Fauzi; Wei Chen; Debbie Knight; Heather Hampel; Wendy L. Frankel; Metin N. Gurcan (J. Medical Syst., 2020)

Panoptic segmentation of wounds in a pig model. - Thomas E. Tavolara; Adam M. Jorgensen; Metin N. Gurcan; Sean V. Murphy; M. Khalid Khan Niazi (Computer-Aided Diagnosis, 2021)

Bladder cancer organoid image analysis: textured-based grading. - Seda Camalan; M. Khalid Khan Niazi; Mahesh Devarasetty; Shay Soker; Metin N. Gurcan (Digital Pathology, 2021)

Grading and localization of histological features for bioengineered kidney constructs. - Thomas E. Tavolara; Gabriel Carreno-Galeano; Metin N. Gurcan; Sang Jin Lee; M. Khalid Khan Niazi (Digital Pathology, 2021)

Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis. - Thomas E. Tavolara; M. Khalid Khan Niazi; Gillian Beamer; Metin N. Gurcan (Digital Pathology, 2021)

Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models. - Thomas E. Tavolara; Metin N. Gurcan; Scott Segal; M. Khalid Khan Niazi (Comput. Biol. Medicine, 2021)

Automatic generation of the ground truth for tumor budding using H&E stained slides. - Thomas E. Tavolara; Arijit Dutta; Martin V. Burks; Wei Chen; Wendy L. Frankel; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2022)

Predicting HER2 scores from registered HER2 and H&E images. - Thomas E. Tavolara; M. Khalid Khan Niazi; Gary Tozbikian; Robert Wesolowski; Metin N. Gurcan (Digital and Computational Pathology, 2022)

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. - Ziyu Su; Thomas E. Tavolara; Gabriel Carreno-Galeano; Sang Jin Lee; Metin N. Gurcan; M. Khalid Khan Niazi (Medical Image Anal., 2022)

OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images. - Hamidullah Binol; M. Khalid Khan Niazi; Charles Elmaraghy; Aaron C. Moberly; Metin N. Gurcan (Neural Comput. Appl., 2022)

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. - Qing Lyu 003; 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; et al. (Patterns, 2022)

Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. - Ziyu Su; Sandhya Kumar; Thomas E. Tavolara; Metin N. Gurcan; Scott Segal; M. Khalid Khan Niazi (Computer-Aided Diagnosis, 2023)

Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning. - Thomas E. Tavolara; Wei Chen; Wendy L. Frankel; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2023)

The effects of sparsity induction methods on attention-based multiple instance learning applied to Camelyon16. - Thomas E. Tavolara; Metin N. Gurcan; M. Khalid Khan Niazi (Digital and Computational Pathology, 2023)

Background detection affects downstream classification of Camelyon16 whole slide images. - Thomas E. Tavolara; M. Khalid Khan Niazi; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications. - Thomas E. Tavolara; M. Khalid Khan Niazi; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma. - Thomas E. Tavolara; M. Khalid Khan Niazi; David Jaye; Christopher Flowers; Lee Cooper 001; Metin N. Gurcan (Digital and Computational Pathology, 2023)

Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries. - Mostafa Rezapour; Rachel B. Seymour; Stephen H. Sims; Madhav A. Karunakar; Nahir Habet; Metin Nafi Gürcan (CoRR, 2023)

Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. - Ziyu Su; Mostafa Rezapour; Usama Sajjad; Metin Nafi Gürcan; Muhammad Khalid Khan Niazi (Comput. Biol. Medicine, 2023)

Classification-based pathway analysis using GPNet with novel P-value computation. - Hao Lu; Mostafa Rezapour; Haseebullah Baha; Muhammad Khalid Khan Niazi; Aarthi Narayanan; Metin Nafi Gürcan (Briefings Bioinform., 2024)

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool. - Ziyu Su; Yongxin Guo; Robert Wesolowski; Gary Tozbikian; Nathaniel S. O'Connell; M. Khalid Khan Niazi; Metin N. Gurcan (CoRR, 2024)

Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning. - Mostafa Rezapour; Aarthi Narayanan; Wyatt H. Mowery; Metin Nafi Gürcan (CoRR, 2024)

Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates. - Mostafa Rezapour; Muhammad Khalid Khan Niazi; Hao Lu; Aarthi Narayanan; Metin Nafi Gürcan (Frontiers Artif. Intell., 2024)

Gene pointNet for tumor classification. - Hao Lu; Mostafa Rezapour; Haseebullah Baha; Muhammad Khalid Khan Niazi; Aarthi Narayanan; Metin Nafi Gürcan (Neural Comput. Appl., 2024)

Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images. - Ziyu Su; Mostafa Rezapour; Usama Sajjad; Shuo Niu; Metin Nafi Gürcan; Muhammad Khalid Khan Niazi (IEEE J. Biomed. Health Informatics, 2024)