Rina Bao

17 papers A* 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy.
IEEE Trans. Medical Imaging
Rina Bao, Anna N. Foster, Ya'Nan Song, Rutvi Vyas, Ankush Kesri, Imad Eddine Toubal, Elham Soltani Kazemi, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, Kannappan Palaniappan, Dean Ninalga, Chiranjeewee Prasad Koirala, Sovesh Mohapatra, Gottfried Schlaug, Marek Wodzinski, Henning Müller, David G. Ellis, Michele R. Aizenberg, M. Arda Aydin, Elvin Abdinli, Gozde Unal, Nazanin Tahmasebi, Kumaradevan Punithakumar, Tian Song, Yun Peng, Sara V. Bates, Randy Hirschtick, Patricia Ellen Grant, Yangming Ou
2025 — conf
AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury.
ISBI
Rina Bao, Sheng He, Ellen Grant, Yangming Ou
2025 — ed.
AI for Brain Lesion Detection and Trauma Video Action Recognition - First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12-16, 2023, Proceedings
BONBID-HIE@MICCAI
Rina Bao, Ellen Grant, Andrew Kirkpatrick, Juan P. Wachs, Yangming Ou
2025 — conf
HE3D-Net: Hypoxic Ischemic Encephalopathy Diagnosis and Lesion Segmentation Using 3D Heterogenous Ensemble Models.
AIPR
Bijaya Kumar Hatuwal, Rina Bao, Mai-Lan Ho, Kannappan Palaniappan
2025 — conf
Relation U-Net.
ISBI
Sheng He, Rina Bao, Patricia Ellen Grant, Yangming Ou
2025 J jnl
Relation U-Net.
CoRR
Sheng He, Rina Bao, Patricia Ellen Grant, Yangming Ou
2025 — conf
Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy.
MICCAI (4)
Amog Rao, Ananya Shukla, Jia Bhargava, Yangming Ou, Rina Bao
2025 — conf
Using Off-Target-Disease Data to Improve Target-Disease Lesion Segmentation.
ISBI
Jingpeng Li, Sheng He, Rina Bao, Atle Bjørnerud, Ellen Grant, Yangming Ou
2025 A* conf
Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning.
ICML
Rina Bao, Shilong Dong, Zhenfang Chen, Sheng He, Ellen Grant, Yangming Ou
2024 J jnl
AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury.
CoRR
Rina Bao, Sheng He, Ellen Grant, Yangming Ou
2024 J jnl
BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): II. 2-year Neurocognitive Outcome and NICU Outcome.
CoRR
Rina Bao, Yangming Ou
2024 J jnl
Foundation AI Model for Medical Image Segmentation.
CoRR
Rina Bao, Erfan Darzi, Sheng He, Chuan-Heng Hsiao, Mohammad Arafat Hussain, Jingpeng Li, Atle Bjørnerud, Ellen Grant, Yangming Ou
2024 J jnl
Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology.
IEEE J. Sel. Top. Signal Process.
Rina Bao, Yunxin Zhao, Akhil Srivastava, Shellaine Frazier, Kannappan Palaniappan
2023 J jnl
Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks.
CoRR
Sheng He, Rina Bao, Jingpeng Li, Patricia Ellen Grant, Yangming Ou
2023 J jnl
U-Netmer: U-Net meets Transformer for medical image segmentation.
CoRR
Sheng He, Rina Bao, Patricia Ellen Grant, Yangming Ou
2021 — conf
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking.
ICCVW
Rina Bao, Noor M. Al-Shakarji, Filiz Bunyak, Kannappan Palaniappan
2019 — conf
GLSNet: Global and Local Streams Network for 3D Point Cloud Classification.
AIPR
Rina Bao, Kannappan Palaniappan, Yunxin Zhao, Guna Seetharaman, Wenjun Zeng