Harrison Bai
Orcid: 0000-0002-7460-8866
According to our database1,
Harrison Bai
authored at least 7 papers
between 2021 and 2023.
Collaborative distances:
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Bibliography
2023
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation.
CoRR, 2023
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal., 2022
DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal., 2022
2021
Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021