The accurate preoperative detection and intraoperative navigation afforded by imaging techniques have had significant impact on the success of liver cancer surgeries. However, it is difficult to achieve satisfactory performance in both diagnosis and surgical treatment processes using any single modality imaging method. Here, we report the synthesis and characteristics of a novel dual-modality m...

One difficulty of diagnosing and treating cancer is that it is very challenging to detect cancers in the early stages before metastasis occurs. A variety of imaging modalities needs to be used from non-invasive, moderate resolution modalities, such as magnetic resonance imaging (MRI) to very high-resolution (e.g. fluorescence) imaging that can help guide surgeons during a surgical operation. Wh...

Full-field optical coherence microscopy (FF-OCM) and optically sectioned fluorescence microscopy are two imaging techniques that are implemented here in a novel dual modality instrument. The two imaging modalities use a broad field illumination to acquire the entire field of view without raster scanning. Optical sectioning is achie...

Probabilistic reasoning biases have been widely associated with levels of delusional belief ideation (Galbraith, Manktelow, & Morris, 2010; Lincoln, Ziegler, Mehl, & Rief, 2010; Speechley, Whitman, & Woodward, 2010; White & Mansell, 2009), however, little research has focused on biases occurring during every day reasoning (Galbraith, Manktelow, & Morris, 2011), and moral and crime based reasoni...

Dual-task costs depend on the specific pairings of stimulus and response modalities. Such findings are analogous to domain-specific effects in the working memory (WM) literature, in which items compete for limited capacity when they involve related types of information. The present study explicitly examines the relationship between modality-pairing effects on dual-task costs and domain-specific...

In the field of multimodal segmentation, correlation between different modalities can be considered for improving segmentation results. Considering MR modalities, in this paper, we propose a multi-modality network guided by novel tri-attention fusion. Our includes N model-independent encoding paths with image sources, fusion block, dual-attention and decoding path. The model independent capture...