Multimodality Imaging Overview in Active Cardiac Sarcoidosis with Systemic Manifestations by Kakoudaki Tania

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A Multimodal Approach to Analgesia in Anorectal Surgery by T. N. Garmanova, D. R. Markaryan, E. A. Kazachenko, A. M. Lukianov, M. A. Kazachenko, M. A. Agapov

“…The recommended scheme of multimodal anesthesia for patients after anorectal surgery is shown on Fig.1. …”
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Relieve Adversarial Attacks Based on Multimodal Training by Lai Hongjie

“…This paper explores the role of multimodal training in mitigating the problems caused by adversarial attacks, building on the foundations of deep learning. …”
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Multimodal mismatch responses in mouse auditory cortex by Magdalena Solyga, Georg B Keller

“…Our movements result in predictable sensory feedback that is often multimodal. Based on deviations between predictions and actual sensory input, primary sensory areas of cortex have been shown to compute sensorimotor prediction errors. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

Subjects: “…Multimodal sentiment analysis…”
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IoT-based approach to multimodal music emotion recognition by Hanbing Zhao, Ling Jin

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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

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AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

Subjects: “…multimodal, biometric system, convolutional neural network…”
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Mapping the knowledge domain of multimodal translation: a bibliometric analysis by Gaopan Guo

“…The result indicates that the annual publications on multimodal translation have grown sharply, particularly in the last ten years (2012–2023). …”
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How to teach the anatomy of the inguinal canal? A multimodal approach by Shina Yeo Qing Chun, Nathaniel Dexter Salim, Lai YuFu Jarrell, Joshua Koh Zhi Yuan, Eng-Tat Ang, Davide Lomanto

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The texture-taste connection: Multimodal sensory neurons in fly larvae. by Katrin Vogt

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Preparation for Rural Practice with a Multimodal Rural Emergency Medicine Curriculum by Ashley K. Weisman, Skyler A. Lentz, Julie T. Vieth, Joseph M. Kennedy, Richard B. Bounds

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MDCKE: Multimodal deep-context knowledge extractor that integrates contextual information by Hyojin Ko, Joon Yoo, Ok-Ran Jeong

Subjects: “…Multimodal knowledge graph…”
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A multimodal characterization of low-dimensional thalamocortical structural connectivity patterns by Alexandra John, Meike D. Hettwer, H. Lina Schaare, Amin Saberi, Şeyma Bayrak, Bin Wan, Jessica Royer, Boris C. Bernhardt, Sofie L. Valk

“…The secondary axis corresponds to the core-matrix cell distribution. Lastly, exploring multimodal associations globally, we observe the principal axis consistently differentiating limbic, frontoparietal, and default mode network nodes from dorsal and ventral attention networks across modalities. …”
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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

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Multimodal lung cancer theranostics via manganese phosphate/quercetin particle by Chong Qiu, Fei Xia, Qingchao Tu, Huan Tang, Yinan Liu, Hongda Liu, Chen Wang, HaiLu Yao, Linying Zhong, Yuanfeng Fu, Pengbo Guo, Weiqi Chen, Xinyu Zhou, Li Zou, Licheng Gan, Jiawei Yan, Yichong Hou, Junzhe Zhang, Huanhuan Pang, Yuqing Meng, Qiaoli Shi, Guang Han, Xijun Wang, Jigang Wang

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Oh **UK! Whatever Next? Multimodal Humour on Brexit-Related Covers of The Economist by Miller Dorota

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Multimodal Emotion Recognition: Emotion Classification Through the Integration of EEG and Facial Expressions by Songul Erdem Guler, Fatma Patlar Akbulut

“…The findings emphasize that by applying a multi-class classification framework, multimodal approaches offer significant improvements over traditional unimodal techniques. …”
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BEVFusion With Dual Hard Instance Probing for Multimodal 3D Object Detection by Taeho Kim, Joohee Kim

“…However, few methods explicitly address false negatives, and many fail to effectively align and interact multimodal features during the fusion process. To address these challenges, we propose BEVFusion with Dual Hard Instance Probing (BEVFusion-DHIP), a novel 3D object detection framework designed to systematically reduce false negatives. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

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