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Roland Wiest

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Papers (11)

  1. Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework cs.AI · 2026 · author #10
  2. The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification cs.CV · 2021 · author #97
  3. Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence cs.CV · 2019 · author #14
  4. Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks cs.LG · 2019 · author #6
  5. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge cs.CV · 2019 · author #34
  6. Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction cs.CV · 2018 · author #6
  7. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #18
  8. Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction cs.CV · 2018 · author #5
  9. Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning cs.CV · 2018 · author #7
  10. On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation cs.CV · 2018 · author #6
  11. Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs cs.CV · 2017 · author #4

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