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Jayashree Kalpathy-Cramer

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Papers (13)

  1. MONAI: An open-source framework for deep learning in healthcare cs.LG · 2022 · author #42
  2. The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification cs.CV · 2021 · author #8
  3. CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images cs.CR · 2019 · author #9
  4. Accelerated Experimental Design for Pairwise Comparisons cs.DS · 2019 · author #4
  5. Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images cs.CV · 2018 · author #9
  6. Deep feature transfer between localization and segmentation tasks cs.CV · 2018 · author #10
  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 #423
  8. DeepNeuro: an open-source deep learning toolbox for neuroimaging cs.CV · 2018 · author #7
  9. High-resolution medical image synthesis using progressively grown generative adversarial networks cs.CV · 2018 · author #7
  10. Institutionally Distributed Deep Learning Networks cs.CV · 2017 · author #9
  11. Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation cs.CV · 2017 · author #8
  12. Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints cs.CV · 2017 · author #5
  13. Evaluation-as-a-Service: Overview and Outlook cs.CY · 2015 · author #9

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