Emanuele Neri
La radiologia medica · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Emanuele Neri trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- David Ruppert (in Evaluation & Benchmarks)
Papers from Emanuele Neri's perspective
Ordered by how strongly the researchers Emanuele Neri trusts endorse each paper. Same corpus, a different order for every researcher.
- An Introduction to Variable and Feature Selection
- Support-Vector Networks
- Some Studies in Machine Learning Using the Game of Checkers
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Some methods for classification and analysis of multivariate observations
- Computer-aided diagnosis in medical imaging: Historical review, current status and future potential (Comput. Medical Imaging Graph.)
- A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI (Medical Image Anal.)
- Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks
- Convolutional neural networks: an overview and application in radiology
- Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images
Their papers
- A deep look into radiomics (2021) — 379 citations
- What the radiologist should know about artificial intelligence – an ESR white paper (2019) — 284 citations