4 papers
Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI
Minh Sao Khue Luu, Evgeniy N. Pavlovskiy, Bair N. Tuchinov
We propose a unified objective function, termed CATMIL, that augments the base segmentation loss with two auxiliary supervision terms operating at different levels. The first term,…
A Foundation Model for Brain MRI with Dynamic Modality Integration
Minh Sao Khue Luu, Bair N. Tuchinov
We present a foundation model for brain MRI that can work with different combinations of imaging sequences. The model uses one encoder with learnable modality embeddings, condition…
A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development
Minh Sao Khue Luu, Margaret V. Benedichuk, Ekaterina I. Roppert +2
The development of foundation models for brain MRI depends critically on the scale, diversity, and consistency of available data, yet systematic assessments of these factors remain…
ToolBrain: A Flexible Reinforcement Learning Framework for Agentic Tools
Quy Minh Le, Minh Sao Khue Luu, Khanh-Tung Tran +5
Effective tool use is essential for agentic AI, yet training agents to utilize tools remains challenging due to manually designed rewards, limited training data, and poor multi-too…