Seuraa
Yige Peng
Yige Peng
University of Sydney, Shanghai Jiao Tong University
Vahvistettu sähköpostiosoite verkkotunnuksessa uni.sydney.edu.au
Nimike
Viittaukset
Viittaukset
Vuosi
The autopet challenge: towards fully automated lesion segmentation in oncologic PET/CT imaging
S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougère, J Ye, J He, ...
572023
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies
Y Peng, L Bi, Y Guo, D Feng, M Fulham, J Kim
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
322019
Multi-modality information fusion for radiomics-based neural architecture search
Y Peng, L Bi, M Fulham, D Feng, J Kim
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
242020
Multi-task deep learning for joint tumor segmentation and outcome prediction in head and neck cancer
M Meng, Y Peng, L Bi, J Kim
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 160-167, 2021
182021
Automatic tumor segmentation via false positive reduction network for whole-body multi-modal pet/ct images
Y Peng, J Kim, D Feng, L Bi
arXiv preprint arXiv:2209.07705, 2022
122022
The autoPET challenge: towards fully automated lesion segmentation in oncologic PET
S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougere, J Ye, J He, ...
CT imaging, 2023
82023
Pet synthesis via self-supervised adaptive residual estimation generative adversarial network
Y Xue, L Bi, Y Peng, M Fulham, DD Feng, J Kim
IEEE Transactions on Radiation and Plasma Medical Sciences 8 (4), 426-438, 2023
62023
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images
Y Xue, Y Peng, L Bi, D Feng, J Kim
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
62023
Predicting distant metastases in soft-tissue sarcomas from PET-CT scans using constrained hierarchical multi-modality feature learning
Y Peng, L Bi, A Kumar, M Fulham, D Feng, J Kim
Physics in Medicine & Biology 66 (24), 245004, 2021
52021
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging
S Gatidis, M Früh, MP Fabritius, S Gu, K Nikolaou, CL Fougère, J Ye, J He, ...
Nature Machine Intelligence, 1-10, 2024
32024
Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes
J Wei, Y Xu, H Wang, T Niu, Y Jiang, Y Shen, L Su, T Dou, Y Peng, L Bi, ...
Computer Methods and Programs in Biomedicine 256, 108382, 2024
12024
Deep Learning-based Radiomics Framework for Multi-Modality PET-CT Images
Y Peng
2023
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Artikkelit 1–12