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Yige Peng
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2020 – today
- 2024
- [j1]Jin Wei, Yupeng Xu, Hanying Wang, Tian Niu, Yan Jiang, Yinchen Shen, Li Su, Tianyu Dou, Yige Peng, Lei Bi, Xun Xu, Yufan Wang, Kun Liu:
Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes. Comput. Methods Programs Biomed. 256: 108382 (2024) - 2023
- [c4]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. EMBC 2023: 1-4 - [i5]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. CoRR abs/2304.00725 (2023) - [i4]Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim:
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. CoRR abs/2310.15550 (2023) - 2022
- [i3]Yige Peng, Jinman Kim, Dagan Feng, Lei Bi:
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. CoRR abs/2209.07705 (2022) - 2021
- [c3]Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim:
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 160-167 - [i2]Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. CoRR abs/2104.11416 (2021) - 2020
- [c2]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. MICCAI (7) 2020: 763-771 - [i1]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. CoRR abs/2007.06002 (2020)
2010 – 2019
- 2019
- [c1]Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng, Michael J. Fulham, Jinman Kim:
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. EMBC 2019: 3658-3688
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