1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation
Qi Wu, Yuyao Zhang, Marawan Elbatel
Recent advancements in large foundation models have shown promising potential in the medical industry due to their flexible prompting capability. One such model, the Segment Anythi…
cs.CV2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
Marawan Elbatel, Hualiang Wang, Robert Martí +2
In the medical field, federated learning commonly deals with highly imbalanced datasets, including skin lesions and gastrointestinal images. Existing federated methods under highly…
eess.IV2022
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images
Marawan Elbatel, Christina Bornberg, Manasi Kattel +3
In-vitro tests are an alternative to animal testing for the toxicity of medical devices. Detecting cells as a first step, a cell expert evaluates the growth of cells according to c…