Jana Lipková

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 79 citations into it

Whom Jana Lipková trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky

Papers from Jana Lipková's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Fully convolutional networks for semantic segmentation

Their papers

• The Liver Tumor Segmentation Benchmark (LiTS) (2019) — 1,500 citations
• Algorithm fairness in artificial intelligence for medicine and healthcare (2023) — 550 citations
• Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning (2022) — 577 citations
• AI-based pathology predicts origins for cancers of unknown primary (2020) — 622 citations
• Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) — 2,033 citations
• Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks (2017) — 365 citations