Metin Nafi Gürcan
Orcid: 0000-0002-2421-8229
According to our database1,
Metin Nafi Gürcan
authored at least 129 papers
between 1996 and 2024.
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Bibliography
2024
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates.
CoRR, 2024
2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images.
Comput. Biol. Medicine, December, 2023
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries.
CoRR, 2023
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images.
CoRR, 2023
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.
Patterns, 2022
OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images.
Neural Comput. Appl., 2022
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.
Medical Image Anal., 2022
2021
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models.
Comput. Biol. Medicine, 2021
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Grading and localization of histological features for bioengineered kidney constructs.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
J. Medical Syst., 2020
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma.
CoRR, 2019
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer.
Artif. Intell. Medicine, 2019
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Developing Biomedical Informatics Capability to Support Learning Health System: Challenges and Potential Solutions.
Proceedings of the AMIA 2019, 2019
2018
Evolving strategies for the development and evaluation of a computerised melanoma image analysis system.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction.
Proceedings of the Medical Imaging 2018: 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.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer.
IEEE J. Biomed. Health Informatics, 2017
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.
J. Biomed. Informatics, 2017
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Intraoperative neuropathology of glioma recurrence: cell detection and classification.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Classification of follicular lymphoma: the effect of computer aid on pathologists grading.
BMC Medical Informatics Decis. Mak., 2015
Comput. Medical Imaging Graph., 2015
Comput. Biol. Medicine, 2015
Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
An adaptive algorithm for detection of multiple-type, positively stained nuclei in IHC images with minimal prior information: application to OLIG2 staining gliomas.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
Prognostic Reporting of p53 Expression by Image Analysis in Glioblastoma Patients: Detection and Classification.
Proceedings of the Health Information Science - 4th International Conference, 2015
2014
Concurr. Comput. Pract. Exp., 2014
Comput. Biol. Medicine, 2014
Grading vascularity from histopathological images based on traveling salesman distance and vessel size.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Classification of glioblastoma and metastasis for neuropathology intraoperative diagnosis: a multi-resolution textural approach to model the background.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Segmentation and automated measurement of chronic wound images: probability map approach.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images.
J. Digit. Imaging, 2013
An automated method for counting cytotoxic T-cells from CD8 stained images of renal biopsies.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
2012
IEEE Trans. Inf. Technol. Biomed., 2012
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry.
J. Comput. Sci., 2012
Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project.
J. Am. Medical Informatics Assoc., 2012
Comput. Medical Imaging Graph., 2012
Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Automated detection of cells from immunohistochemically-stained tissues: application to Ki-67 nuclei staining.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting.
IEEE Trans. Medical Imaging, 2011
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images.
IEEE Trans. Biomed. Eng., 2011
Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research.
Medical Image Anal., 2011
Anatomically Anchored Template-Based Level Set Segmentation: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative.
J. Digit. Imaging, 2011
Microscopic image analysis for quantitative characterization of muscle fiber type composition.
Comput. Medical Imaging Graph., 2011
Comput. Medical Imaging Graph., 2011
Comput. Medical Imaging Graph., 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation.
IEEE Trans. Biomed. Eng., 2010
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed.
IEEE Trans. Biomed. Eng., 2010
Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation.
J. Digit. Imaging, 2010
An analysis of methods for the selection of atlases for use in medical image segmentation.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Segmentation of follicular regions on H&E slides using a matching filter and active contour model.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Muscle histology image analysis for sarcopenia: registration of successive sections with distinct ATPase activity.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the International Conference on Image Processing, 2010
2009
Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading.
J. Signal Process. Syst., 2009
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development.
Pattern Recognit., 2009
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation.
Pattern Recognit., 2009
VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid.
J. Digit. Imaging, 2009
J. Digit. Imaging, 2009
Int. J. Data Min. Bioinform., 2009
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis.
Comput. Methods Programs Biomed., 2009
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009
Coordinating the use of GPU and CPU for improving performance of compute intensive applications.
Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009
2008
Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
A multi-resolution image analysis system for computer-assisted grading of neuroblastoma differentiation.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Texture classification using nonlinear color quantization: Application to histopathological image analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the High Speed and Large Scale Scientific Computing - Selected Papers from the High Performance Computing Workshop, Cetraro, Italy, June 30, 2008
2007
GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support.
J. Digit. Imaging, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007
Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma.
Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments, 2007
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007
Proceedings of the AMIA 2007, 2007
2006
Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Service-Based Access to and Processing of Large Scientific Datasets.
Proceedings of the High Performance Computing and Grids in Action, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2003
Automated global matching of temporal thoracic helical CT studies: feasibility study.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
2002
Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy.
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features.
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications.
Proceedings of the Medical Imaging 2002: Image Processing, 2002
2001
Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization.
IEEE Trans. Medical Imaging, 2001
Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
1999
Microcalcification segmentation and mammogram image enhancement using nonlinear filtering.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
Influence Function Based Gaussianity Tests for Detection of Microcalcifications in Mammogram Images.
Proceedings of the 1999 International Conference on Image Processing, 1999
1998
Signal Process., 1998
Proceedings of the Digital Mammography, 1998
1997
IEEE Signal Process. Lett., 1997
Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996