Results 101 to 110 of about 3,671,216 (244)

Multi-Modality Fusion and Tumor Sub-Component Relationship Ensemble Network for Brain Tumor Segmentation

Bioengineering
Deep learning technology has been widely used in brain tumor segmentation with multi-modality magnetic resonance imaging, helping doctors achieve faster and more accurate diagnoses. Previous studies have demonstrated that the weighted fusion segmentation
Jinyan Zhou, Shuwen Wang, Hao Wang, Yaxue Li, Xiang Li   +4 more
doaj   +1 more source

Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge

, 2023
The recent multi-modality models have achieved great performance in many vision tasks because the extracted features contain the multi-modality knowledge.
Yuan, Mingzhi, Huang, Xiaoshui, Li, Zhihao, Fu, Kexue, Wang, Manning   +4 more
core  

Engineering a Fluorinated AlPO4 Interface: Toward High Initial Coulombic Efficiency and Stable Oxygen Redox in Li‐Rich Layered Oxide Cathodes

Advanced Functional Materials, EarlyView.
We report a chemically incorporated fluorinated AlPO4 (AlPO4‐F) architecture that functions as a multifunctional “interfacial fortress” for Li‐rich layered oxides (LLOs). By modulating the surface potential to –32.16 mV, this architecture enriches Li+ concentration and repels detrimental electrolyte anions.
Hojun Moon, Harim Jeong, Younghwon Kim, Buseong Kim, Geunhyeong Kim, Suyeon Lee, Jeongjin Lee, Joonwoo Kim, Jemin Lee, Youngsoo Kim, Young‐Il Kim, Dae Won Cho, Jeeyoung Yoo, Misook Kang   +13 more
wiley   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source

Synergy-CLIP: Extending CLIP With Multi-Modal Integration for Robust Representation Learning

IEEE Access
Multi-modal representation learning has become a pivotal area in artificial intelligence, enabling the integration of diverse modalities such as vision, text, and audio to solve complex problems.
Sangyeon Cho, Jangyeong Jeon, Mingi Kim, Junyeong Kim   +3 more
doaj   +1 more source

Modality-independent coding of spatial layout in the human brain.

, 2018
In many nonhuman species, neural computations of navigational information such as position and orientation are not tied to a specific sensory modality [1, 2].
Nicholas A. Giudice (5421920), Roberta Klatzky (3888550), Jack M. Loomis (369303), Thomas Wolbers (5425148), Magdalena G. Wutte (5425151)   +4 more
core   +1 more source

Mechanistic Origins of Chemo‐Mechanical Instability and Failure in Solid‐State Lithium‐Sulfur Electrodes

Advanced Functional Materials, EarlyView.
Conversion‐induced sulfur expansion generates strong mechanical constraints and localized stresses within solid‐state Li‐S cathodes. Heterogeneous solid‐electrolyte confinement creates tensile strain‐energy hotspots that govern particle cracking. Larger sulfur particles accelerate fracture, while higher porosity relaxes constraint and delays damage ...
Arpan K. Sharma, Ahmad Ahmad, Bairav S. Vishnugopi, Partha P. Mukherjee   +3 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Targeting CD300a Signaling With a Phosphatidylserine‐Presenting Hydrogel Rescues Macrophage Dysfunction and Accelerates Diabetic Wound Healing

Advanced Healthcare Materials, EarlyView.
Schematic illustration of the proposed mechanism: PEG/RGD‐PSLs mimic apoptotic cells to engage PS receptors (notably CD300a), transducing an inhibitory signal that suppresses the MyD88/NF‐κB pathway, leading to global anti‐inflammatory and pro‐reparative effects.
Lele Wu, Xuetong Hao, Yang Zou, Xinglin Chen, Junyan Kong, Chunning Gu, Wenjie Ma, Zhongjun Yang, Huifen Liu, Mengmeng Liu, Xin Tong   +10 more
wiley   +1 more source

ImageBind-LLM: Multi-modality Instruction Tuning

, 2023
We present ImageBind-LLM, a multi-modality instruction tuning method of large language models (LLMs) via ImageBind. Existing works mainly focus on language and image instruction tuning, different from which, our ImageBind-LLM can respond to multi ...
Xu, Peng, Xiao, Han, Lu, Xudong, Gao, Peng, Wen, Song, Zhang, Renrui, Ren, Shuai, Yue, Xiangyu, Li, Hongsheng, Shao, Wenqi, Qiao, Yu, Zhang, Kaipeng, Han, Jiaming, Chen, Xiaoxin, Wen, Yafei, Guo, Ziyu, Liu, Chris   +16 more
core