24 citations · 61 across the 9 of their papers we have counts for
9 papers
Federated Multilingual Models for Medical Transcript Analysis
Andre Manoel, Mirian Hipolito Garcia, Tal Baumel +6
Federated Learning (FL) is a novel machine learning approach that allows the model trainer to access more data samples, by training the model across multiple decentralized data sou…
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Xu Zheng, Chong Fu, Haoyu Xie +3
Semi-supervised learning has made significant strides in the medical domain since it alleviates the heavy burden of collecting abundant pixel-wise annotated data for semantic segme…
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Jialei Chen, Zhehui Chen, Chuck Zhang +1
Kriging (or Gaussian process regression) is a popular machine learning method for its flexibility and closed-form prediction expressions. However, one of the key challenges in appl…
A calibration-free method for biosensing in cell manufacturing
Jialei Chen, Zhaonan Liu, Kan Wang +3
Chimeric antigen receptor T cell therapy has demonstrated innovative therapeutic effectiveness in fighting cancers; however, it is extremely expensive due to the intrinsic patient-…
Adaptive design for Gaussian process regression under censoring
Jialei Chen, Simon Mak, V. Roshan Joseph +1
A key objective in engineering problems is to predict an unknown experimental surface over an input domain. In complex physical experiments, this may be hampered by response censor…
Function-on-function kriging, with applications to 3D printing of aortic tissues
Jialei Chen, Simon Mak, V. Roshan Joseph +1
3D-printed medical prototypes, which use synthetic metamaterials to mimic biological tissue, are becoming increasingly important in urgent surgical applications. However, the mimic…