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Differential Diagnosis of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Three-Dimensional Magnetic Resonance Imaging Texture Feature Model

BioMed research international, 2020, Vol.2020, p.5042356-8

2020

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Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

BioMed research international, 2018-01, Vol.2018, p.4605191-9

2018

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Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning

Genes, 2022-09, Vol.13 (10), p.1770

2022

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Computational Mathematics Modeling in Cancer Analysis: Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

1, 2023

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Editorial: Optical imaging in neuroscience and brain disease

Frontiers in neuroscience, 2023, Vol.17, p.1192863-1192863

2023

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Enhancing object detection in low-resolution images via frequency domain learning

Array (New York), 2024-07, Vol.22, p.100342, Article 100342

2024

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Wide-Field Pixel Super-Resolution Colour Lensfree Microscope for Digital Pathology

Frontiers in oncology, 2021-10, Vol.11, p.751223-751223

2021

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Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions

AI open, 2023, Vol.4, p.42-55

2023

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An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices

Sensors (Basel, Switzerland), 2017-01, Vol.17 (1), p.125-125

2017

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Efficient sequencing data compression and FPGA acceleration based on a two-step framework

Frontiers in genetics, 2023-09, Vol.14, p.1260531-1260531

2023

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Assessment of breast arteries and lymph nodes by 3D MR angiography enhancement imaging: feasibility and pilot clinical results

BMC medical imaging, 2021-06, Vol.21 (1), p.97-97, Article 97

2021

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Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis

Cancers, 2023-10, Vol.15 (19), p.4824

2023

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A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE

Biomedical engineering online, 2012-10, Vol.11 (1), p.82-82, Article 82

2012

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An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction

Biomedical signal processing and control, 2013-11, Vol.8 (6), p.645-656

2013

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Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation

Physics in medicine & biology, 2018-05, Vol.63 (9), p.095017-095017

2018

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Prostate cancer classification with multiparametric MRI transfer learning model

Medical physics (Lancaster), 2019-02, Vol.46 (2), p.756-765

2019

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Saliency-guided stairs detection on wearable RGB-D devices for visually impaired persons with Swin-Transformer

Pattern recognition letters, 2024-01, Vol.177, p.47-53

2024

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Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy

Quantitative imaging in medicine and surgery, 2020-06, Vol.10 (6), p.1223-1236

2020

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Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy

Radiotherapy and oncology, 2022-05, Vol.170, p.198-204

2022

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Total‐body low‐dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism

Medical physics (Lancaster), 2023-05, Vol.50 (5), p.2971-2984

2023

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Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images

Engineering applications of artificial intelligence, 2024-07, Vol.133, Article 108335

2024

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Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures

Computerized medical imaging and graphics, 2021-12, Vol.94, p.101989-101989, Article 101989

2021

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Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images

Computer methods and programs in biomedicine, 2024-05, Vol.248, p.108116-108116, Article 108116

2024

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Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images

Computerized medical imaging and graphics, 2024-07, Vol.115, p.102378-102378, Article 102378

2024

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Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning

The American journal of pathology, 2020-08, Vol.190 (8), p.1691-1700

2020

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Differential Diagnosis of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Three-Dimensional Magnetic Resonance Imaging Texture Feature Model

Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning

Computational Mathematics Modeling in Cancer Analysis: Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Editorial: Optical imaging in neuroscience and brain disease

Enhancing object detection in low-resolution images via frequency domain learning

Wide-Field Pixel Super-Resolution Colour Lensfree Microscope for Digital Pathology

Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions

An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices

Efficient sequencing data compression and FPGA acceleration based on a two-step framework

Assessment of breast arteries and lymph nodes by 3D MR angiography enhancement imaging: feasibility and pilot clinical results

Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis

A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE

An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction

Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation

Prostate cancer classification with multiparametric MRI transfer learning model

Saliency-guided stairs detection on wearable RGB-D devices for visually impaired persons with Swin-Transformer

Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy

Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy

Total‐body low‐dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism

Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images

Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures

Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images

Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images

Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning

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