| A vision transformer for emphysema classification using CT images Y Wu, S Qi, Y Sun, S Xia, Y Yao, W Qian Physics in Medicine & Biology 66 (24), 245016, 2021 | 40 | 2021 |
| Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images B Zhang, S Qi, Y Wu, X Pan, Y Yao, W Qian, Y Guan Computer Methods and Programs in Biomedicine 222, 106946, 2022 | 24 | 2022 |
| Cot-xnet: contextual transformer with xception network for diabetic retinopathy grading S Zhao, Y Wu, M Tong, Y Yao, W Qian, S Qi Physics in Medicine & Biology 67 (24), 245003, 2022 | 19 | 2022 |
| Multi-site, multi-domain airway tree modeling M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... Medical image analysis 90, 102957, 2023 | 17 | 2023 |
| Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images Q Qi, S Qi, Y Wu, C Li, B Tian, S Xia, J Ren, L Yang, H Wang, H Yu Computers in Biology and Medicine 141, 105182, 2022 | 12 | 2022 |
| Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images Y Wu, S Zhao, S Qi, J Feng, H Pang, R Chang, L Bai, M Li, S Xia, W Qian, ... Artificial Intelligence in Medicine 143, 102637, 2023 | 11 | 2023 |
| Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field Y Wu, R Du, J Feng, S Qi, H Pang, S Xia, W Qian Biomedical Signal Processing and Control 79, 104162, 2023 | 10 | 2023 |
| A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images H Pang, Y Wu, S Qi, C Li, J Shen, Y Yue, W Qian, J Wu Computers in Biology and Medicine 147, 105792, 2022 | 10 | 2022 |
| Adaptive filtering improved apnea detection performance using tracheal sounds in noisy environment: a simulation study Y Wu, J Liu, B He, X Zhang, L Yu BioMed Research International 2020 (1), 7429345, 2020 | 10 | 2020 |
| Llcaps: Learning to illuminate low-light capsule endoscopy with curved wavelet attention and reverse diffusion L Bai, T Chen, Y Wu, A Wang, M Islam, H Ren International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 9 | 2023 |
| Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images Y Wu, S Qi, M Wang, S Zhao, H Pang, J Xu, L Bai, H Ren Medical & Biological Engineering & Computing 61 (10), 2649-2663, 2023 | 8 | 2023 |
| Multi-site, multi-domain airway tree modeling (ATM'22): a public benchmark for pulmonary airway segmentation M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... arXiv preprint arXiv:2303.05745, 2023 | 8 | 2023 |
| Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images R Chang, S Qi, Y Wu, Q Song, Y Yue, X Zhang, Y Guan, W Qian Scientific Reports 12 (1), 19829, 2022 | 6 | 2022 |
| NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation H Pang, S Qi, Y Wu, M Wang, C Li, Y Sun, W Qian, G Tang, J Xu, Z Liang, ... Computer Methods and Programs in Biomedicine 231, 107389, 2023 | 5 | 2023 |
| CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images M Wang, S Qi, Y Wu, Y Sun, R Chang, H Pang, W Qian Biomedical Signal Processing and Control 82, 104565, 2023 | 5 | 2023 |
| The Analysis of How Apnea Influences the Autonomic Nervous System Using Short‐Term Heart Rate Variability Indices B He, W Li, X Zhang, Y Wu, J Liu, LM Brewer, L Yu Journal of Healthcare Engineering 2020 (1), 6503715, 2020 | 5 | 2020 |
| Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology Y Wu, S Qi, J Feng, R Chang, H Pang, J Hou, M Li, Y Wang, S Xia, W Qian Biocybernetics and Biomedical Engineering 43 (3), 568-585, 2023 | 4 | 2023 |
| Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans Y Wu, Q Qi, S Qi, L Yang, H Wang, H Yu, J Li, G Wang, P Zhang, Z Liang, ... Computers in Biology and Medicine 154, 106567, 2023 | 4 | 2023 |
| Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy R Chang, S Qi, Y Wu, Y Yue, X Zhang, W Qian Cancer Imaging 23 (1), 101, 2023 | 3 | 2023 |
| Deep radiomic model based on the sphere–shell partition for predicting treatment response to chemotherapy in lung cancer R Chang, S Qi, Y Wu, Y Yue, X Zhang, Y Guan, W Qian Translational Oncology 35, 101719, 2023 | 2 | 2023 |
Shouliang QiNortheastern University在 bmie.neu.edu.cn 的电子邮件经过验证
