pith. machine review for the scientific record. sign in

Roland Wiest

Identifiers

No identifiers captured yet.

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

Mentions

No mention provenance yet.

Frequent Coauthors