Metin Nafi Gürcan

33 papers B 6C 1Misc 2Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization. CoRR Hao Lu, Onur Can Koyun, Yongxin Guo, Zhengjie Zhu, Abbas Alili, Metin Nafi Gürcan
2026	J	`jnl`	Momentum Memory for Knowledge Distillation in Computational Pathology. CoRR Yongxin Guo, Hao Lu, Onur Can Koyun, Zhengjie Zhu, Muhammet Fatih Demir, Metin Nafi Gürcan
2026	J	`jnl`	PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse. CoRR Hao Lu, Onur Can Koyun, Yongxin Guo, Zhengjie Zhu, Abbas Alili, Metin Nafi Gürcan
2025	J	`jnl`	Classification-based pathway analysis using GPNet with novel Briefings Bioinform. Hao Lu, Mostafa Rezapour, Haseebullah Baha, Muhammad Khalid Khan Niazi, Aarthi Narayanan, Metin Nafi Gürcan
2025	J	`jnl`	HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited data. Patterns Usman Afzaal, Ziyu Su, Usama Sajjad, Thomas Stack, Hao Lu, Shuo Niu, Abdul Rehman Akbar, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
2025	J	`jnl`	Hyperparameter Optimization and Reproducibility in Deep Learning Model Training. CoRR Usman Afzaal, Ziyu Su, Usama Sajjad, Hao Lu, Mostafa Rezapour, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
2024	J	`jnl`	Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning. CoRR Mostafa Rezapour, Aarthi Narayanan, Wyatt H. Mowery, Metin Nafi Gürcan
2024	J	`jnl`	Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images. IEEE J. Biomed. Health Informatics Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
2024	J	`jnl`	Gene pointNet for tumor classification. Neural Comput. Appl. Hao Lu, Mostafa Rezapour, Haseebullah Baha, Muhammad Khalid Khan Niazi, Aarthi Narayanan, Metin Nafi Gürcan
2024	J	`jnl`	Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates. CoRR Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan
2024	J	`jnl`	Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates. Frontiers Artif. Intell. Mostafa Rezapour, Muhammad Khalid Khan Niazi, Hao Lu, Aarthi Narayanan, Metin Nafi Gürcan
2023	J	`jnl`	Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Comput. Biol. Medicine Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
2023	J	`jnl`	Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. CoRR Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
2023	J	`jnl`	Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images. CoRR Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi
2023	J	`jnl`	Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries. CoRR Mostafa Rezapour, Rachel B. Seymour, Stephen H. Sims, Madhav A. Karunakar, Nahir Habet, Metin Nafi Gürcan
2019	J	`jnl`	Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artif. Intell. Medicine M. Khalid Khan Niazi, Yuzhang Lin, Feng Liu, Amit Ashok, Michael W. Marcellin, Gary Tozbikian, Metin Nafi Gürcan, Ali Bilgin
2019	—	`conf`	Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Digital Pathology Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2018	—	`conf`	Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Digital Pathology Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2017	—	`conf`	FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Digital Pathology Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2015	C	`conf`	Prognostic Reporting of p53 Expression by Image Analysis in Glioblastoma Patients: Detection and Classification. HIS Mohammad Faizal Ahmad Fauzi, Hamza N. Gokozan, Christopher R. Pierson, Jose Javier Otero, Metin Nafi Gürcan
2014	J	`jnl`	Fully automated liver segmentation from SPIR image series. Comput. Biol. Medicine Evgin Göçeri, Metin Nafi Gürcan, Oguz Dicle
2014	J	`jnl`	Massively multithreaded maxflow for image segmentation on the Cray XMT-2. Concurr. Comput. Pract. Exp. Shahid H. Bokhari, Ümit V. Çatalyürek, Metin Nafi Gürcan
2012	—	`conf`	Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma. SIU Yagmur Gizem Cinar, Hatice Çinar Akakin, Metin Nafi Gürcan
2012	—	`conf`	Follicular lymphoma grading using cell-graphs and multi-scale feature analysis. Computer-Aided Diagnosis Basak Oztan, Hui Kong, Metin Nafi Gürcan, Bülent Yener
2010	B	`conf`	An analysis of methods for the selection of atlases for use in medical image segmentation. Image Processing Jeffrey W. Prescott, Thomas M. Best, Furqan Haq, Rebecca D. Jackson, Metin Nafi Gürcan
2006	Misc	`conf`	Service-Based Access to and Processing of Large Scientific Datasets. High Performance Computing Workshop 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
2002	B	`conf`	Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Image Processing Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan
2002	B	`conf`	Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Image Processing Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
2002	B	`conf`	Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Image Processing Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
2001	B	`conf`	Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Image Processing Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan
2001	B	`conf`	Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Image Processing Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski
1997	Misc	`conf`	Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition. ICASSP Metin Nafi Gürcan, Yasemin Yardimci, A. Enis Çetin, Rashid Ansari
1996	—	`conf`	A morphological subband decomposition structure using GF(N) arithmetic. ICIP (1) Metin Nafi Gürcan, Ömer Nezih Gerek, A. Enis Çetin