4 papers
Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
Hanning Guo, Hanwen Bi, Farah Abdellatif +4
Brain foundation models have achieved remarkable advances across a wide range of neuroscience tasks. However, most existing models are limited to a single functional modality, rest…
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation
Omini Rathore, Richard Paul, Abigail Morrison +2
Brain vessel segmentation of MR scans is a critical step in the diagnosis of cerebrovascular diseases. Due to the fine vessel structure, manual vessel segmentation is time consumin…
1LoRA: Summation Compression for Very Low-Rank Adaptation
Alessio Quercia, Zhuo Cao, Arya Bangun +4
Parameter-Efficient Fine-Tuning (PEFT) methods have transformed the approach to fine-tuning large models for downstream tasks by enabling the adjustment of significantly fewer para…
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Alessio Quercia, Erenus Yildiz, Zhuo Cao +4
Monocular depth estimation (MDE) is a challenging task in computer vision, often hindered by the cost and scarcity of high-quality labeled datasets. We tackle this challenge using…