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Dagan Feng

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Dual-modal Dynamic Traceback Learning for Medical Report Generation

Jan 24, 2024
Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim

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Full-resolution MLPs Empower Medical Dense Prediction

Nov 28, 2023
Mingyuan Meng, Yuxin Xue, Dagan Feng, Lei Bi, Jinman Kim

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AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration

Sep 11, 2023
Mingyuan Meng, Michael Fulham, Dagan Feng, Lei Bi, Jinman Kim

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Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer

Jul 07, 2023
Mingyuan Meng, Lei Bi, Michael Fulham, Dagan Feng, Jinman Kim

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Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration

Jul 07, 2023
Mingyuan Meng, Lei Bi, Michael Fulham, Dagan Feng, Jinman Kim

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DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images

May 17, 2023
Mingyuan Meng, Bingxin Gu, Michael Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim

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CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images

Apr 03, 2023
Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim

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A Review of Predictive and Contrastive Self-supervised Learning for Medical Images

Feb 10, 2023
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, Jinman Kim

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Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI

Dec 12, 2022
Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamad Khadra, Jinman Kim

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Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision

Nov 15, 2022
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim

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