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

TVAE-3D: Efficient multi-view 3D shape reconstruction with diffusion models and transformer based VAE.

Authors: Sajid, Muhammad Malik, Kaleem Razzaq Khan, Ali Haider et al.

Source: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-22, 22p

Subject Terms: COMPUTER vision, THREE-dimensional imaging, PROBABILISTIC generative models, TRANSFORMER models, POINT cloud, LATENT variables

A Lesion-Aware Patch Sampling Approach with EfficientNet3D-UNet for Robust Multiple Sclerosis Lesion Segmentation.

Authors: Almaaz, Hind Dardouri, Samia

Source: Journal of Imaging; Oct2025, Vol. 11 Issue 10, p361, 19p

Subject Terms: MULTIPLE sclerosis, DEEP learning, COMPUTER-assisted image analysis (Medicine), MAGNETIC resonance imaging, SAMPLING (Process), IMAGE segmentation

Inception UNet architecture for breast tumor segmentation and detection using hybrid deep learning approach.

Authors: Sharma, Ajay Mishra, Pramod Kumar

Source: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 24, p28225-28263, 39p

Subject Terms: BREAST cancer, DEEP learning, TUMOR classification, TRANSFER of training, INTERDISCIPLINARY research, FEATURE extraction, ULTRASONIC imaging, EARLY diagnosis

DUC-Net: A deep unified cross-modal architecture with cascaded feature learning for medical image segmentation.

Authors: Memon, Yumna Zeng, Feng Khawaja, Faiza Riaz

Source: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-26, 26p

An Efficient Vision Mamba–Transformer Hybrid Architecture for Abdominal Multi-Organ Image Segmentation.

Authors: Lu, Fang Xu, Jingyu Sun, Qinxiu et al.

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6785, 18p

Subject Terms: DEEP learning, TRANSFORMER models, IMAGE processing, DIAGNOSIS, COMPUTER-assisted image analysis (Medicine)

DELR-Net: a network for 3D multimodal medical image registration in more lightweight application scenarios.

Authors: Deng, Liwei Lan, Qi Yang, Xin et al.

Source: Abdominal Radiology; Apr2025, Vol. 50 Issue 4, p1876-1886, 11p

Subject Terms: DEEP learning, COMPUTER-assisted image analysis (Medicine), THREE-dimensional modeling, ACQUISITION of data, HETEROGENEITY

Hybrid Feature Integrated Transformer for 3D Hand Reconstruction from a Single RGB Image.

Authors: Yang, Bing Xiang, Xueqin Kong, Wanzeng et al.

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Jun2025, Vol. 21 Issue 6, p1-19, 19p

Subject Terms: TRANSFORMER models, AUGMENTED reality, GESTURE, REALISM

VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability.

Authors: Norouzi, Mahboobeh Khan, Shehroz S. Ashraf, Ahmed

Source: Neural Computing & Applications; Feb2024, Vol. 36 Issue 6, p2961-2972, 12p

Subject Terms: THREE-dimensional imaging, CONVOLUTIONAL neural networks, PHENOTYPES, COMPUTED tomography, TAGS (Metadata)

MambaSegNet: A Fast and Accurate High-Resolution Remote Sensing Imagery Ship Segmentation Network.

Authors: Wen, Runke Yuan, Yongjie Xu, Xingyuan et al.

Source: Remote Sensing; Oct2025, Vol. 17 Issue 19, p3328, 27p

Subject Terms: HIGH resolution imaging, IMAGE segmentation, REMOTE sensing, FEATURE extraction, ACQUISITION of data

MMFNet: A Mamba-Based Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation.

Authors: Qiu, Jingting Chang, Wei Ren, Wei et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6225, 21p

Subject Terms: REMOTE sensing, IMAGE segmentation, DIGITAL elevation models, CONVOLUTIONAL neural networks

Developing Interpretable Deep Learning Model for Subtropical Forest Type Classification Using Beijing-2, Sentinel-1, and Time-Series NDVI Data of Sentinel-2.

Authors: Chen, Shudan Wang, Xuefeng Shi, Mengmeng et al.

Source: Forests (19994907); Nov2025, Vol. 16 Issue 11, p1709, 21p

Subject Terms: DEEP learning, REMOTE sensing, NORMALIZED difference vegetation index, FOREST site quality, ENVIRONMENTAL monitoring

Attention-guided fusion of transformers and CNNs for enhanced medical image segmentation.

Authors: Zhou, Shiyao Wang, Mengyao Huang, Zhiyong et al.

Source: Visual Computer; Oct2025, Vol. 41 Issue 13, p10577-10597, 21p

Subject Terms: TRANSFORMER models, CONVOLUTIONAL neural networks, COMPUTER-assisted image analysis (Medicine), MACHINE learning

DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation.

Authors: Atabansi, Chukwuemeka Clinton Wang, Sheng Li, Hui et al.

Source: BMC Medical Imaging; 9/29/2025, Vol. 25 Issue 1, p1-24, 24p

Subject Terms: IMAGE segmentation, TUMOR diagnosis, DEEP learning

Multimodal Artificial Intelligence in Medical Diagnostics.

Authors: Jandoubi, Bassem Akhloufi, Moulay A.

Source: Information; Jul2025, Vol. 16 Issue 7, p591, 34p

Subject Terms: CLINICAL decision making, ARTIFICIAL intelligence, MACHINE learning, ELECTRONIC health records, TRANSFORMER models, DEEP learning

Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection.

Authors: Deng, Fei Shi, Hongyu Jiang, Peifan et al.

Source: Remote Sensing; Feb2025, Vol. 17 Issue 4, p713, 18p

Subject Terms: FEATURE extraction, COMPARATIVE studies

Echo Depth Estimation via Attention-based Hierarchical Multi-scale Feature Fusion Network.

Authors: Zhang, Wenjie Yin, Jun Yu, Peng et al.

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Aug2025, Vol. 21 Issue 8, p1-20, 20p

Subject Terms: INFRARED imaging, INFRARED technology, SOURCE code, SPECTROGRAMS, ECHO, ENCODING

DMA-Net: Dynamic Morphology-Aware Segmentation Network for Remote Sensing Images.

Authors: Deng, Chao Liang, Haojian Qin, Xiao et al.

Source: Remote Sensing; Jul2025, Vol. 17 Issue 14, p2354, 30p

Subject Terms: REMOTE-sensing images, IMAGE segmentation, FEATURE extraction, DEEP learning, ARTIFICIAL neural networks, TRANSFORMER models

Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism.

Authors: Silveira, Jaysel Theresa S., Girisha Kundapur, Poornima Panduranga

Source: Scientific Reports; 11/10/2025, Vol. 15 Issue 1, p1-19, 19p

Subject Terms: IMAGE segmentation, MAGNETIC resonance imaging, FEATURE extraction, DEEP learning, COMPUTER-assisted image analysis (Medicine), SEGMENTATION (Biology), LUMBAR vertebrae

ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation.

Authors: Qamar, Saqib Furqan Qadri, Syed Alroobaea, Roobaea et al.

Source: Scientific Reports; 10/2/2025, Vol. 15 Issue 1, p1-16, 16p

Subject Terms: MELANOMA, SKIN diseases, TRANSFORMER models, FEATURE extraction

Magnetic resonance image processing transformer for general accelerated image restoration.

Authors: Shen, Guoyao Li, Mengyu Anderson, Stephan et al.

Source: Scientific Reports; 11/17/2025, Vol. 15 Issue 1, p1-15, 15p

Subject Terms: MAGNETIC resonance imaging, TRANSFORMER models, COMPUTER performance, DEEP learning, SCALABILITY, FEATURE extraction, IMAGE processing