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Jo Schlemper

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Papers (15)

  1. k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations eess.IV · 2019 · author #2
  2. VS-Net: Variable splitting network for accelerated parallel MRI reconstruction eess.IV · 2019 · author #2
  3. Deep Hashing using Entropy Regularised Product Quantisation Network cs.LG · 2019 · author #1
  4. Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging cs.CV · 2018 · author #8
  5. Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach cs.CV · 2018 · author #3
  6. Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images cs.CV · 2018 · author #1
  7. Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension cs.CV · 2018 · author #2
  8. Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction cs.CV · 2018 · author #3
  9. Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences cs.CV · 2018 · author #3
  10. Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI cs.CV · 2018 · author #1
  11. Attention-Gated Networks for Improving Ultrasound Scan Plane Detection cs.CV · 2018 · author #1
  12. Attention U-Net: Learning Where to Look for the Pancreas cs.CV · 2018 · author #2
  13. Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction cs.CV · 2017 · author #2
  14. A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction cs.CV · 2017 · author #1
  15. A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction cs.CV · 2017 · author #1

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