Results 41 to 50 of about 97,244 (288)

A Generalized Multi-Modal Fusion Detection Framework

, 2023
LiDAR point clouds have become the most common data source in autonomous driving. However, due to the sparsity of point clouds, accurate and reliable detection cannot be achieved in specific scenarios. Because of their complementarity with point clouds, images are getting increasing attention.
Cui, Leichao, Li, Xiuxian, Meng, Min, Mo, Xiaoyu   +3 more
openaire   +2 more sources

Deterministic Bayesian Information Fusion and the Analysis of its Performance [PDF]

, 2014
This paper develops a mathematical and computational framework for analyzing the expected performance of Bayesian data fusion, or joint statistical inference, within a sensor network.
Thakur, Gaurav
core   +1 more source

Equivariant Multi-Modality Image Fusion

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multi-modality image fusion is a technique that combines information from different sensors or modalities, enabling the fused image to retain complementary features from each modality, such as functional highlights and texture details. However, effective training of such fusion models is challenging due to the scarcity of ground truth fusion data.
Zhao, Zixiang, Bai, Haowen, Zhang, Jiangshe, Zhang, Yulun, Zhang, Kai, Xu, Shuang, Chen, Dongdong, Timofte, Radu, Van Gool, Luc   +8 more
openaire   +2 more sources

Multi Modal Verification for Teleservices and Security Applications (M2VTS) [PDF]

, 1999
The paper presents the European ACTS project “M2VTS” which stands for Multi Modal Verification for Teleservices and Security Applications. The primary goal of this project is to address the issue of secured access to local and centralised services in a ...
Abdeljaoued, Y., Aldama, K., Ansorge, M., Ben-Yacoub, S., Besacier, L., Beumier, C., Bigün, J., Boudy, J., Cortes, J., Fernandez, C., Fernández, F., Guis, I., Heimgartner, R., Kittler, J., Kotropoulos, C., Lockwood, P., Luettin, J., Maitre, G., Matas, J., Menguy, Y., Meurville, E., Pigeon, S., Pitas, Richard, G., Ruiz, B., Ryser, P., Suaudeau, N., Tefas, A., Verlinde, P.   +28 more
core   +1 more source

Neural-linguistic analysis for Alzheimer’s detection: A deep learning approach informed by cognitive neuroscience

NeuroImage
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive function across multiple domains, particularly affecting language networks and speech production pathways in the brain.
Jianhui Lv, Shalli Rani, Keqin Li, Ning Liu   +3 more
doaj   +1 more source

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song, Jonathan Baron, Carlos Chavez Perez, Sidharth Ramesh, Jane Minturn, Kavita A. Desai, Amish C. Shah, Jean M. Belasco, Kristina A. Cole, Michael J. Fisher, Phillip B. Storm, Peter M. Madsen, Goldie Kurtz, Robert A. Lustig, Christine Hill‐Kayser, Michael J. LaRiviere   +15 more
wiley   +1 more source

Medical image fusion method by deep learning

International Journal of Cognitive Computing in Engineering, 2021
Deep learning technology has been extensively explored in pattern recognition and image processing areas. A multi-mode medical image fusion with deep learning will be proposed, according to the characters of multi-modal medical image, medical diagnostic ...
Yi Li, Junli Zhao, Zhihan Lv, Jinhua Li
doaj   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Clustering based Multi-modality Medical Image Fusion

Journal of Physics: Conference Series, 2020
Abstract The unwanted data obtained through the medical image fusion is the main problem in biomedical applications, guided-image surgical and radiology. The Stationary Wavelet Transform (SWT) denoted the various advantages over conventional representation of imaging approach.
Rashmi Dhaundiyal, Amrendra Tripathi, Kapil Joshi, Manoj Diwakar, Prabhishek Singh   +4 more
openaire   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source