40 results on '"Dagan Feng"'
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2. Dual-modal Dynamic Traceback Learning for Medical Report Generation.
3. Enhancing medical vision-language contrastive learning via inter-matching relation modelling.
4. A Review of Predictive and Contrastive Self-supervised Learning for Medical Images.
5. PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network.
6. AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration.
7. Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts.
8. Full-resolution MLPs Empower Medical Dense Prediction.
9. Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
10. Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration.
11. DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images.
12. CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images.
13. Unsupervised Difference Learning for Noisy Rigid Image Alignment.
14. Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning.
15. Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features.
16. Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision.
17. Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images.
18. Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.
19. Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI.
20. Enhancing Medical Image Registration via Appearance Adjustment Networks.
21. Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics.
22. A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation.
23. DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT.
24. Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images.
25. Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.
26. Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search.
27. Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images.
28. A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image.
29. IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes.
30. Unsupervised Deep Transfer Feature Learning for Medical Image Classification.
31. Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
32. Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification.
33. 3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation.
34. Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation.
35. Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer.
36. Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis.
37. Automatic Liver Lesion Detection using Cascaded Deep Residual Networks.
38. Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks.
39. Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
40. Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging.
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