Concept

Multimodal therapy

Publications associées (7)

Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma

Jiancheng Yang, Li Zhang, Jun Lu, Hua Zhong, Yunhua Zhang

This research explores the potential of multimodal fusion for the differential diagnosis of early-stage lung adenocarcinoma (LUAD) (tumor sizes < 2 cm). It combines liquid biopsy biomarkers, specifically extracellular vesicle long RNA (evlRNA) and the comp ...

Berlin2024

The virtuous cycle of human genetics and mouse models in drug discovery

Johan Auwerx

Ongoing studies in many species seek to understand the origins, architecture and consequences of phenotypic variation under normal and dysfunctional conditions, with the aim of identifying targets for intervention that can prevent, stabilize or reverse dis ...

NATURE PUBLISHING GROUP2019

Motor and cognitive brain circuits of brain-machine interactions

Silvia Marchesotti

Brain-machine interfaces (BMIs) allow the user to control an external device such as a robotic arm, a cursor, or an avatar in a virtual world through the real-time decoding of brain signals and without the involvement of the musculoskeletal system. Althoug ...

EPFL2016

Multimodal feature extraction and fusion for audio-visual speech recognition

Mihai Gurban

Multimodal signal processing analyzes a physical phenomenon through several types of measures, or modalities. This leads to the extraction of higher-quality and more reliable information than that obtained from single-modality signals. The advantage is two ...

EPFL2009

Biologically Motivated Audio-Visual Cue Integration for Object

Barbara Caputo, Jie Luo

Auditory and visual cues are important sensor inputs for biological and artificial systems. They provide crucial information for navigating environments, recognizing categories, animals and people. How to combine effectively these two sensory channels is s ...

2008

Multimodal Integration for Meeting Group Action Segmentation and Recognition

Daniel Gatica-Perez, Dong Zhang, Steve Renals

We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, and can be used either as input for a meeting browser or as a first step tow ...

IDIAP2005

Multimodal Integration for Meeting Group Action Segmentation and Recognition

Daniel Gatica-Perez, Dong Zhang, Steve Renals

2005

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