Alain Lalande

Radiology, Nuclear Medicine and Imaging · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alain Lalande trusts overall

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

  1. Vasily L. Yarnykh

Who trusts Alain Lalande overall

  1. Fabian Isensee

Papers from Alain Lalande's perspective

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

  1. Fully convolutional networks for semantic segmentation
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Learning Spatiotemporal Features with 3D Convolutional Networks
  4. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  5. Principles and applications of balanced SSFP techniques (European Radiology)
  6. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI (Medical Image Anal.)
  7. 3-D active appearance models: segmentation of cardiac MR and ultrasound images (IEEE Transactions on Medical Imaging)
  8. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (Medical Image Anal.)
  9. 2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology…
  10. A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI (arXiv.org)

Their papers