GLSNet: Global and Local Streams Network for 3D Point Cloud Classification. - Rina Bao; Kannappan Palaniappan; Yunxin Zhao; Guna Seetharaman; Wenjun Zeng 001 (AIPR, 2019)

DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking. - Rina Bao; Noor M. Al-Shakarji; Filiz Bunyak; Kannappan Palaniappan (ICCVW, 2021)

U-Netmer: U-Net meets Transformer for medical image segmentation. - Sheng He; Rina Bao; Patricia Ellen Grant; Yangming Ou (CoRR, 2023)

Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks. - Sheng He; Rina Bao; Jingpeng Li 007; Patricia Ellen Grant; Yangming Ou (CoRR, 2023)

Foundation AI Model for Medical Image Segmentation. - Rina Bao; Erfan Darzi; Sheng He; Chuan-Heng Hsiao; Mohammad Arafat Hussain; Jingpeng Li 007; Atle Bjørnerud; Ellen Grant; Yangming Ou (CoRR, 2024)

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

Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology. - Rina Bao; Yunxin Zhao; Akhil Srivastava; Shellaine Frazier; Kannappan Palaniappan (IEEE J. Sel. Top. Signal Process., 2024)

Using Off-Target-Disease Data to Improve Target-Disease Lesion Segmentation. - Jingpeng Li 007; Sheng He; Rina Bao; Atle Bjørnerud; Ellen Grant; Yangming Ou (ISBI, 2025)

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury. - Rina Bao; Sheng He; Ellen Grant; Yangming Ou (ISBI, 2025)

Relation U-Net. - Sheng He; Rina Bao; Patricia Ellen Grant; Yangming Ou (ISBI, 2025)