Ana Maria Mendonça
Radiology, Nuclear Medicine and Imaging · 2006–2020
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 61 citations into it; #281 of 3,265 by trust here, #1,115 by citations
- Computer Vision and Pattern Recognition — 56 citations into it; #5,532 of 21,575 by trust here, #10,500 by citations
- Model Architectures — 12 citations into it
Whom Ana Maria Mendonça trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ana Maria Mendonça overall
- Elisa Ricci
- Arunkumar Rajendran
- Muhammad Moazam Fraz
- José Ignacio Orlando
- Sohini Roychowdhury
- Carmen Alina Lupascu
- George Azzopardi
- Diego Marín
- Yitian Zhao
- Jiong Zhang
Papers from Ana Maria Mendonça's perspective
Ordered by how strongly the researchers Ana Maria Mendonça trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Fully convolutional networks for semantic segmentation
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Mask R-CNN
Their papers
- IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. (2020) — 366 citations
- End-to-End Adversarial Retinal Image Synthesis (2018) — 396 citations
- Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis (2017) — 68 citations
- Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (2006) — 1,021 citations