Cheng Yuan

Multimodal Deep Learning Model on Interim 18F-FDG PET/CT for Predicting Primary Treatment Failure of Diffuse Large B-cell Lymphoma

Li Wang, Xinyun Huang, Dahong Qian, 2022 .

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients

Hongbing Lu, Yaofeng Wen, Dahong Qian, 2021, npj Digital Medicine.

Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution

Cheng Yuan, Dahong Qian, Yujin Tang, 2020, MICCAI.

IMAL-Net: Interpretable Multi-task Attention Learning Network for Invasive Lung Adenocarcinoma Screening in CT Images.

Hongbing Lu, Yaofeng Wen, Dahong Qian, 2021, Medical physics.

Diffuse Large B-cell Lymphoma Segmentation in PET-CT Images via Hybrid Learning for Feature Fusion.

Xiaozhu Lin, Dahong Qian, Weili Zhao, 2021, Medical physics.

Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis.

M. Zhang, Biao Li, Sijia Du, 2023, Multiple sclerosis and related disorders.

Multimodal deep learning model on interim [^18F]FDG PET/CT for predicting primary treatment failure in diffuse large B-cell lymphoma

Li Wang, Xinyun Huang, Dahong Qian, 2022, European Radiology.