Search Results - (("3D encoder–decoder architecture") OR ("3D encoder–design architecture"))

A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR

Authors: Mahmoud Abdallah Xiaoli Ding Samaa Younis et al.

Source: Science of Remote Sensing, Vol 11, Iss , Pp 100206- (2025)

Subject Terms: MT-InSAR, Deformation retrieval, Lightweight, 3D encoder-decoder architecture, Separable CNN, Physical geography, GB3-5030, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666017225000124; https://doaj.org/toc/2666-0172

Access URL: https://doaj.org/article/7ce5e628f5fa40d1a5f2babbb8155481

MS-trust: a transformer model with causal-global dual attention for enhanced MRI-based multiple sclerosis and myelitis detection.

Authors: Alzahrani, Salha M.

Source: Complex & Intelligent Systems; Aug2025, Vol. 11 Issue 8, p1-42, 42p

Semantic Segmentation of Brain Tumors Using a Local–Global Attention Model.

Authors: Xing, Shuli Lai, Zhenwei Zhu, Junxiong et al.

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p5981, 17p

Subject Terms: CONVOLUTIONAL neural networks, TRANSFORMER models, DEEP learning, BRAIN tumors, FEATURE extraction

UGC-Net: Uncertainty-Guided Cost Volume Optimization with Contextual Features for Satellite Stereo Matching.

Authors: Jeong, Wonje Park, Soon-Yong

Source: Remote Sensing; May2025, Vol. 17 Issue 10, p1772, 23p

Subject Terms: CONVOLUTIONAL neural networks, REMOTE-sensing images, EXTRACTION techniques, STEREO image, FEATURE extraction, AMBIGUITY

Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges.

Authors: Liz-López, Helena de Sojo-Hernández, Áurea Anguera D'Antonio-Maceiras, Sergio et al.

Source: Cognitive Computation; Apr2025, Vol. 17 Issue 2, p1-46, 46p

Deep Learning on 3D Semantic Segmentation: A Detailed Review.

Authors: Betsas, Thodoris Georgopoulos, Andreas Doulamis, Anastasios et al.

Source: Remote Sensing; Jan2025, Vol. 17 Issue 2, p298, 58p

Subject Terms: POINT cloud, TAXONOMY, CLASSIFICATION, INSTITUTIONAL repositories, DEEP learning

CloudTran++: Improved Cloud Removal from Multi-Temporal Satellite Images Using Axial Transformer Networks.

Authors: Christopoulos, Dionysis Ntouskos, Valsamis Karantzalos, Konstantinos

Source: Remote Sensing; Jan2025, Vol. 17 Issue 1, p86, 22p

Subject Terms: REMOTE-sensing images, IMAGE reconstruction, AUTOREGRESSIVE models, OPTICAL images, IMAGE quality analysis

Multi-level pyramid fusion for efficient stereo matching.

Authors: Zhu, Jiaqi Li, Bin Zhao, Xinhua

Source: Multimedia Systems; Oct2024, Vol. 30 Issue 5, p1-13, 13p

Open-set 3D semantic instance maps for vision language navigation – O3D-SIM.

Authors: Nanwani, Laksh Gupta, Kumaraditya Mathur, Aditya et al.

Source: Advanced Robotics; Oct2024, Vol. 38 Issue 19/20, p1378-1391, 14p

Subject Terms: GEOGRAPHICAL perception, FEATURE extraction, NATURAL languages, POINT cloud, TASK performance

New multiple sclerosis lesion segmentation and detection using pre-activation U-Net.

Authors: Ashtari, Pooya Barile, Berardino Van Huffel, Sabine et al.

Source: Frontiers in Neuroscience; 10/26/2022, Vol. 16, p1-9, 9p

Subject Terms: MULTIPLE sclerosis, DATA augmentation, THREE-dimensional imaging

LGDNet: local feature coupling global representations network for pulmonary nodules detection.

Authors: Chi, Jianning Zhao, Jin Wang, Siqi et al.

Source: Medical & Biological Engineering & Computing; Jul2024, Vol. 62 Issue 7, p1991-2004, 14p

Subject Terms: CONVOLUTIONAL neural networks, COMPUTER-aided diagnosis, PULMONARY nodules, COMPUTED tomography, TRANSFORMER models, LUNGS

CARS 2024—Computer Assisted Radiology and Surgery Proceedings of the 38th International Congress and Exhibition Barcelona, Spain, June 18–21, 2024.

Source: International Journal of Computer Assisted Radiology & Surgery; 2024 Suppl 1, Vol. 19, p1-153, 153p

Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm.

Authors: Valverde, Sergi Coll, Llucia Valencia, Liliana et al.

Source: Journal of Magnetic Resonance Imaging; Jun2024, Vol. 59 Issue 6, p1991-2000, 10p

Subject Terms: DEEP learning, ALGORITHMS, MAGNETIC resonance imaging, MAGNETIC resonance, SCANNING systems

Company/Entity: SIEMENS AG, KONINKLIJKE Philips NV

CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesion localisation.

Authors: Li, Xiaojie Fei, Xin Yan, Zhe et al.

Source: IET Computer Vision (Wiley-Blackwell); Feb2024, Vol. 18 Issue 1, p1-14, 14p

Subject Terms: GENERATIVE adversarial networks, LUNG diseases, LUNGS, COVID-19, COVID-19 testing, PHYSICIANS

Generating Land Cover Maps in Semi-arid Regions Based on a 3D Semantic Segmentation Architecture Using Multi-temporal Sentinel-2 Satellite Images: A Case Study of Ludhiana District in Punjab, India.

Authors: Buttar, Preetpal Kaur Sachan, Manoj Kumar

Source: Journal of the Indian Society of Remote Sensing; Feb2024, Vol. 52 Issue 2, p383-398, 16p

Exploring high-order correlation for hyperspectral image denoising with hypergraph convolutional network.

Authors: Zhang, Jun Tan, Yaoxin Wei, Xiaohui

Source: Signal Processing. Feb2025, Vol. 227, pN.PAG-N.PAG. 1p.

Subject Terms: *IMAGE denoising

Artificial Intelligence in the Image-Guided Care of Atrial Fibrillation.

Authors: Lyu, Yiheng Bennamoun, Mohammed Sharif, Naeha et al.

Source: Life (2075-1729); Sep2023, Vol. 13 Issue 9, p1870, 30p

Subject Terms: ATRIAL fibrillation, HEART conduction system, ARTIFICIAL intelligence, MAGNETIC resonance imaging, IMAGE analysis

Part-and-whole: A novel framework for deformable medical image registration.

Authors: Zhang, Jinshuo Liu, Zhaoyang Ma, Yingjun et al.

Source: Applied Intelligence; Jul2023, Vol. 53 Issue 13, p16630-16647, 18p

Subject Terms: IMAGE registration, DIAGNOSTIC imaging, MAGNETIC resonance imaging, CONVOLUTIONAL neural networks, IMAGE analysis, THREE-dimensional imaging

Deep learning and machine learning‐based early survival predictions of glioblastoma patients using pre‐operative three‐dimensional brain magnetic resonance imaging modalities.

Authors: Kaur, Gurinderjeet Rana, Prashant Singh Arora, Vinay

Source: International Journal of Imaging Systems & Technology; Jan2023, Vol. 33 Issue 1, p340-361, 22p

Subject Terms: MAGNETIC resonance imaging, MACHINE learning, DEEP learning, CONVOLUTIONAL neural networks, BRAIN tumors, GLIOBLASTOMA multiforme

Clustering information-constrained 3D U-Net subspace clustering for hyperspectral image.

Authors: Peng, Bo Yao, Yuxuan Li, Qunxia et al.

Source: Remote Sensing Letters; Nov2022, Vol. 13 Issue 11, p1131-1141, 11p

Subject Terms: PIXELS