Tahsin M. Kurç
Artificial Intelligence · 2011–2022
A researcher in the Science corpus: 8 papers; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 150 citations into it
- Computer Vision and Pattern Recognition — 133 citations into it
- Model Architectures — 28 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Media Technology — 12 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Statistics and Probability — 9 citations into it
Whom Tahsin M. Kurç trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Radford M. Neal
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Andrew Zisserman
- Ilya Sutskever
- Ross B. Girshick
Who trusts Tahsin M. Kurç overall
Papers from Tahsin M. Kurç's perspective
Ordered by how strongly the researchers Tahsin M. Kurç trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images (2018) — 943 citations
- Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations
- Metrics Reloaded: Recommendations for image analysis validation (2022) — 479 citations
- AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) — 524 citations
- Methods for Segmentation and Classification of Digital Microscopy Tissue Images (2018) — 349 citations
- Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images (2018) — 48 citations
- Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification (2015) — 873 citations
- Determination of jet energy calibration and transverse momentum resolution in CMS (2011) — 442 citations