Felix Nensa

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #16,275 of 21,575 by trust here, #18,266 by citations

Whom Felix Nensa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Ilya Sutskever
3. Geoffrey E. Hinton

Who trusts Felix Nensa overall

1. Sedigheh Eslami

Papers from Felix Nensa's perspective

Ordered by how strongly the researchers Felix Nensa trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Microsoft COCO: Common Objects in Context
4. Deep Learning
5. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
6. TensorFlow: A system for large-scale machine learning
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Radiology Objects in COntext (ROCO): A Multimodal Image Dataset (2018) — 337 citations
• An Automated Information Extraction Model For Unstructured Discharge Letters Using Large Language Models and GPT-4 (2025)
• Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020) — 345 citations