Rina Bao

Orcid: 0000-0003-2367-2590

According to our database1, Rina Bao authored at least 15 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy.
IEEE Trans. Medical Imaging, April, 2026

Obscuration to Clarity: Bone Suppression for Enhanced Localization in Pneumothorax Segmentation of Chest Radiographs.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Relation U-Net.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Using Off-Target-Disease Data to Improve Target-Disease Lesion Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

HE3D-Net: Hypoxic Ischemic Encephalopathy Diagnosis and Lesion Segmentation Using 3D Heterogenous Ensemble Models.
Proceedings of the Applied Imagery Pattern Recognition, 2025

2024
Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology.
IEEE J. Sel. Top. Signal Process., September, 2024

BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): II. 2-year Neurocognitive Outcome and NICU Outcome.
CoRR, 2024

Foundation AI Model for Medical Image Segmentation.
CoRR, 2024

2023
Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks.
CoRR, 2023

U-Netmer: U-Net meets Transformer for medical image segmentation.
CoRR, 2023

2021
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019
GLSNet: Global and Local Streams Network for 3D Point Cloud Classification.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019


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