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Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

IEEE transactions on medical imaging, 2017-04, Vol.36 (4), p.994-1004

2017

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3D deeply supervised network for automated segmentation of volumetric medical images

Medical image analysis, 2017-10, Vol.41, p.40-54

2017

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Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.65-75

2017

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DCAN: Deep contour-aware networks for object instance segmentation from histology images

Medical image analysis, 2017-02, Vol.36, p.135-146

2017

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SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

IEEE transactions on medical imaging, 2018-05, Vol.37 (5), p.1114-1126

2018

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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1182-1195

2016

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Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

IEEE transactions on medical imaging, 2017-06, Vol.36 (6), p.1231-1249

2017

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Potential Anti-Inflammatory Constituents from Aesculus wilsonii Seeds

Molecules (Basel, Switzerland), 2024-03, Vol.29 (5), p.1136

2024

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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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Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

IEEE transactions on medical imaging, 2021-01, Vol.40 (1), p.228-238

2021

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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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Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.523-534

2021

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RECIST-induced Reliable Learning: Geometry-driven Label Propagation for Universal Lesion Segmentation

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.1-1

2024

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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.446-455

2018

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Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

IEEE transactions on biomedical engineering, 2017-07, Vol.64 (7), p.1558-1567

2017

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Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references

Medical image analysis, 2022-05, Vol.78, p.102426-102426, Article 102426

2022

Volltextzugriff (PDF)

Hybrid Masked Image Modeling for 3D Medical Image Segmentation

IEEE journal of biomedical and health informatics, 2024-04, Vol.28 (4), p.2115-2125

2024

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Novel-view X-ray projection synthesis through geometry-integrated deep learning

Medical image analysis, 2022-04, Vol.77, p.102372-102372, Article 102372

2022

Volltextzugriff (PDF)

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3369-3378

2021

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MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification

IEEE transactions on medical imaging, 2023-05, Vol.42 (5), p.1337-1348

2023

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A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation

IEEE transactions on medical imaging, 2024-06, Vol.43 (6), p.2279-2290

2024

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Hybrid Graph Convolutional Network with Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction

IEEE transactions on medical imaging, 2023-08, Vol.42 (8), p.1-1

2023

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Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening

IEEE transactions on medical imaging, 2023-03, Vol.42 (3), p.570-581

2023

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Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.180-193

2019

Volltextzugriff (PDF)

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Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

3D deeply supervised network for automated segmentation of volumetric medical images

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

DCAN: Deep contour-aware networks for object instance segmentation from histology images

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

Potential Anti-Inflammatory Constituents from Aesculus wilsonii Seeds

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

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

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

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

RECIST-induced Reliable Learning: Geometry-driven Label Propagation for Universal Lesion Segmentation

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references

Hybrid Masked Image Modeling for 3D Medical Image Segmentation

Novel-view X-ray projection synthesis through geometry-integrated deep learning

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation

MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification

A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation

Hybrid Graph Convolutional Network with Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction

Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening

Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound

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