58 citations · 70 across the 9 of their papers we have counts for
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eess.IV2021★ 58 cited
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
q-bio.GN2021
OmiTrans: generative adversarial networks based omics-to-omics translation framework
Xiaoyu Zhang, Yike Guo
With the rapid development of high-throughput experimental technologies, different types of omics (e.g., genomics, epigenomics, transcriptomics, proteomics, and metabolomics) data…
cs.CL2021★ 1 cited
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
Jingqing Zhang, Luis Bolanos, Ashwani Tanwar +3
Objective: Clinical notes contain information not present elsewhere, including drug response and symptoms, all of which are highly important when predicting key outcomes in acute c…