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Adam P. Harrison

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Papers (14)

  1. Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs cs.CV · 2018 · author #3
  2. CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement cs.CV · 2018 · author #4
  3. Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays cs.CV · 2018 · author #3
  4. Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST cs.CV · 2018 · author #4
  5. Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks cs.CV · 2018 · author #2
  6. CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation cs.CV · 2018 · author #4
  7. White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections cs.CV · 2018 · author #3
  8. Random Hinge Forest for Differentiable Learning stat.ML · 2018 · author #2
  9. High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic cs.MS · 2018 · author #1
  10. Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST cs.CV · 2018 · author #4
  11. Pathological Pulmonary Lobe Segmentation from CT Images using Progressive Holistically Nested Neural Networks and Random Walker cs.CV · 2017 · author #2
  12. Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images cs.CV · 2017 · author #1
  13. Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation cs.CV · 2017 · author #4
  14. Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling cs.CV · 2017 · author #4

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