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Xiaoli Liu and Xiaorong Cheng
To address the problem of a low accuracy and blurred boundaries in segmenting multimodal brain tumor images using the TransBTS network, a 3D BCS_T model incorporating a channel space attention mechanism is proposed. Firstly, the TransBTS model hierarchy ...
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Nirmalya Thakur and Chia Y. Han
This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes th...
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Lucia Fontana, Alfonso Mastropietro, Elisa Scalco, Denis Peruzzo, Elena Beretta, Sandra Strazzer, Filippo Arrigoni and Giovanna Rizzo
Image registration is crucial in multimodal longitudinal skeletal muscle Magnetic Resonance Imaging (MRI) studies to extract reliable parameters that can be used as indicators for physio/pathological characterization of muscle tissue and for assessing th...
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Oliver Ohneiser, Marcus Biella, Axel Schmugler and Matt Wallace
Current Air Traffic Controller working positions (CWPs) are reaching their capacity owing to increasing levels of air traffic. The multimodal CWP prototype TriControl combines automatic speech recognition, multitouch gestures, and eye-tracking, aiming fo...
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Roberto Yuri da Silva Franco, Rodrigo Santos do Amor Divino Lima, Rafael do Monte Paixão, Carlos Gustavo Resque dos Santos and Bianchi Serique Meiguins
This paper presents UXmood, a tool that provides quantitative and qualitative information to assist researchers and practitioners in the evaluation of user experience and usability. The tool uses and combines data from video, audio, interaction logs and ...
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