Julia A. Schnabel
Medical Image Anal. · 2012
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Julia A. Schnabel trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hayit Greenspan (in Radiology, Nuclear Medicine and Imaging)
Papers from Julia A. Schnabel's perspective
Ordered by how strongly the researchers Julia A. Schnabel trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust Super-resolution Volume Reconstruction from Slice Acquisitions: Application to Fetal Brain MRI (IEEE Transactions on Medical Imaging)
- Super-Resolution Imaging (J. Electronic Imaging)
- Medical Image Computing and Computer-Assisted Intervention
- Pattern Classification
- Super-Resolution in Medical Imaging (Computer/law journal)
- Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis (Medical Image Anal.)
- Deep Learning
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
Their papers
- Reconstruction of fetal brain MRI with intensity matching and complete outlier removal (2012) — 420 citations