Metin Nafi Gürcan

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 10

Top Topics

Multiple Instance

Adaptive Thresholding

Liver Segmentation

Top Venues

Medical Imaging: Digital Pathology

Comput. Biol. Medicine

Artif. Intell. Medicine

Publications

Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates. CoRR (2024)
Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Comput. Biol. Medicine 167 (2023)
Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. CoRR (2023)
Mostafa Rezapour, Rachel B. Seymour, Stephen H. Sims, Madhav A. Karunakar, Nahir Habet, Metin Nafi Gürcan
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries. CoRR (2023)
Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images. CoRR (2023)
M. Khalid Khan Niazi, Yuzhang Lin, Feng Liu, Amit Ashok, Michael W. Marcellin, Gary Tozbikian, Metin Nafi Gürcan, Ali Bilgin
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif. Intell. Medicine 95 (2019)
Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Medical Imaging: Digital Pathology (2019)
Çaglar Senaras, Michael Pennell, W. Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Medical Imaging: Digital Pathology (2018)
Çaglar Senaras, Michael Pennell, W. Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Medical Imaging: Digital Pathology (2017)
Mohammad Faizal Ahmad Fauzi, Hamza N. Gokozan, Christopher R. Pierson, Jose J. Otero, Metin Nafi Gürcan
Prognostic Reporting of p53 Expression by Image Analysis in Glioblastoma Patients: Detection and Classification. HIS (2015)
Evgin Göçeri, Metin Nafi Gürcan, Oguz Dicle
Fully automated liver segmentation from SPIR image series. Comput. Biol. Medicine 53 (2014)
Shahid H. Bokhari, Ümit V. Çatalyürek, Metin Nafi Gürcan
Massively multithreaded maxflow for image segmentation on the Cray XMT-2. Concurr. Comput. Pract. Exp. 26 (18) (2014)
Basak Oztan, Hui Kong, Metin Nafi Gürcan, Bülent Yener
Follicular lymphoma grading using cell-graphs and multi-scale feature analysis. Medical Imaging: Computer-Aided Diagnosis (2012)
Yagmur Gizem Cinar, Hatice Çinar Akakin, Metin Nafi Gürcan
Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma. SIU (2012)
Jeffrey W. Prescott, Thomas M. Best, Furqan Haq, Rebecca D. Jackson, Metin Nafi Gürcan
An analysis of methods for the selection of atlases for use in medical image segmentation. Medical Imaging: Image Processing (2010)
Ümit V. Çatalyürek, Sivaramakrishnan Narayanan, Olcay Sertel, Jun Kong, Berkant Barla Cambazoglu, Tony Pan, Ashish Sharma, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Metin Nafi Gürcan, Joel H. Saltz
Service-Based Access to and Processing of Large Scientific Datasets. High Performance Computing Workshop (2006)
Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan
Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Medical Imaging: Image Processing (2002)
Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Medical Imaging: Image Processing (2002)
Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Medical Imaging: Image Processing (2002)
Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan
Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Medical Imaging: Image Processing (2001)
Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski
Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Medical Imaging: Image Processing (2001)
Metin Nafi Gürcan, Yasemin Yardimci, A. Enis Çetin, Rashid Ansari
Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition. ICASSP (1997)
Metin Nafi Gürcan, Ömer Nezih Gerek, A. Enis Çetin
A morphological subband decomposition structure using GF(N) arithmetic. ICIP (1) (1996)