Oula Puonti

Medical Image Anal. · 2018–2021

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 Oula Puonti trusts overall

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

  1. Y. Saad

Papers from Oula Puonti's perspective

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

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. TensorFlow: A system for large-scale machine learning
  3. AND T
  4. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
  5. Iterative methods for sparse linear systems
  6. Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images
  7. The Parkinson Progression Marker Initiative (PPMI). (Progress in neurobiology)
  8. Statistical Parametric Mapping The Analysis Of Functional Brain Images
  9. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol
  10. Technology Insight: noninvasive brain stimulation in neurology—perspectives on the therapeutic potential of rTMS and tDCS (Nature Clinical Practice Neurology)

Their papers