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Editorial: Deep learning for multimodal brain data processing and analysis

Frontiers in neuroscience, 2023-08, Vol.17, p.1264015-1264015

2023

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Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Nature communications, 2022-11, Vol.13 (1), p.7142-7142, Article 7142

2022

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4D‐CT deformable image registration using unsupervised recursive cascaded full‐resolution residual networks

Bioengineering & translational medicine, 2023-11, Vol.8 (6), p.e10587-e10587

2023

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Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer

Journal for immunotherapy of cancer, 2024-05, Vol.12 (5), p.e008927

2024

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Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study

Journal for immunotherapy of cancer, 2023-11, Vol.11 (11), p.e007807

2023

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Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.764-767

2015

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IEEE_Xplore

PU-Net: Point Cloud Upsampling Network

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.2790-2799

2018

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IEEE_Xplore

Modularized data‐driven reconstruction framework for nonideal focal spot effect elimination in computed tomography

Medical physics (Lancaster), 2021-05, Vol.48 (5), p.2245-2257

2021

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Metal artifact reduction in 2D CT images with self-supervised cross-domain learning

Physics in medicine & biology, 2021-09, Vol.66 (17), p.175003

2021

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Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet

Medical physics (Lancaster), 2020-12, Vol.47 (12), p.6421-6429

2020

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Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation

IEEE transactions on multimedia, 2024, Vol.26, p.7709-7720

2024

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IEEE_Xplore

Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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IEEE_Xplore

Unsupervised Detection of Distinctive Regions on 3D Shapes

ACM transactions on graphics, 2020-09, Vol.39 (5), p.1-14

2020

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3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, p.3635-3644

2020

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IEEE_Xplore

CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10031-10040

2022

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MR to ultrasound image registration with segmentation‐based learning for HDR prostate brachytherapy

Medical physics (Lancaster), 2021-06, Vol.48 (6), p.3074-3083

2021

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Single pixel imaging via unsupervised deep compressive sensing with collaborative sparsity in discretized feature space

Journal of biophotonics, 2022-07, Vol.15 (7), p.e202200045-n/a

2022

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Front Cover

Journal of biophotonics, 2022-07, Vol.15 (7)

2022

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Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer

The Journal of clinical investigation, 2024-03, Vol.134 (6)

2024

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Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer

The Journal of clinical investigation, 2024-03, Vol.134 (6), p.1-16

2024

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Towards AI-Empowered Healthcare: Medical Image Analysis with Data-Efficient Deep Learning

Yu, Lequan

2019

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ProQuest

Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation

Radiology. Artificial intelligence, 2023-05, Vol.5 (3), p.e220082-e220082

2023

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Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Vol.2015, p.7933-7936

2015

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IEEE_Xplore

HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.755-764

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Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.745-754

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Editorial: Deep learning for multimodal brain data processing and analysis

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

4D‐CT deformable image registration using unsupervised recursive cascaded full‐resolution residual networks

Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer

Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

PU-Net: Point Cloud Upsampling Network

Modularized data‐driven reconstruction framework for nonideal focal spot effect elimination in computed tomography

Metal artifact reduction in 2D CT images with self-supervised cross-domain learning

Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet

Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation

Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data

Unsupervised Detection of Distinctive Regions on 3D Shapes

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning

MR to ultrasound image registration with segmentation‐based learning for HDR prostate brachytherapy

Single pixel imaging via unsupervised deep compressive sensing with collaborative sparsity in discretized feature space

Front Cover

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer

Towards AI-Empowered Healthcare: Medical Image Analysis with Data-Efficient Deep Learning

Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features

HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction

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