More research is needed to compare MRI + USPIO with current staging modalities and therefore we propose a diagnostic accuracy study with inclusion of all potentially curative patients on conventional staging modalities to assess its accuracy and efficacy.
Here, we propose a complementary imaging modality based on MRI that requires the application of pre-treated bacteria, but which is also suitable for metabolically inactive or anaerobic pathogens and which provides detailed information about the bacterial localization in tissue.
In this work, we propose and evaluate a new modality of PEDRI-based functional imaging with enhanced temporal resolution which we term variable radio frequency (VRF) PEDRI.
In this paper, we propose to apply both fidelity and modality into the quality of mashup.
As the matching score values from the unimodal matchers follow nonhomogeneous statistical distributions, we propose different score normalization techniques for the complementary modalities employed (multi-normalization) [14].
Based on these results, we propose mechanical stress as a promising supplementary treatment modality for cancer patients who develop resistance to chemotherapy.
For model formulation, we propose the specific graph structure for the interaction among multiple modalities and design the corresponding potential functions.
We propose two types of subject-dependent classification strategies to combine the information of both modalities.
We propose a new technique for defining thrombus location that is applicable to different imaging modalities (Fig. 1).
We propose a multi-stream continuous hidden Markov model (MSCHMM) framework that can learn from multiple modalities.
