Metin Nafi Gurcan
Computer Vision and Pattern Recognition · 2002–2019
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it; #18,279 of 21,575 by trust here, #6,795 by citations
- Artificial Intelligence — 26 citations into it; #23,769 of 35,345 by trust here, #7,531 by citations
- Radiology, Nuclear Medicine and Imaging — 15 citations into it
- Generative Models — 6 citations into it
Whom Metin Nafi Gurcan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aapo Hyvärinen
- Paul A. Viola
- Russel E. Caflisch
- Sébastien Ourselin
- Carolina Wählby
- Ronald R. Coifman
- Erkki Oja
- Edward H. Adelson
- Michael J. Jones
- Mehdi Mirza
Who trusts Metin Nafi Gurcan overall
- Melih Kandemir
- Fuyong Xing
- Andrew Janowczyk
- Md. Zahangir Alom
- Chetan L. Srinidhi
- Simon Graham
- Neslihan Bayramoglu
- Ingrid C. Sluimer
- Massimo Salvi
- Artem Shmatko
Papers from Metin Nafi Gurcan's perspective
Ordered by how strongly the researchers Metin Nafi Gurcan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Rethinking the Inception Architecture for Computer Vision
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Learning
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Long Short-Term Memory
- The Laplacian Pyramid as a Compact Image Code
Their papers
- Histopathological Image Analysis: A Review (2009) — 1,982 citations
- Mitosis detection in breast cancer histological images An ICPR 2012 contest (2013) — 317 citations
- Digital Pathology and Artificial Intelligence (2019) — 1,006 citations
- Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study (2018) — 362 citations
- Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. (2002) — 365 citations