| Application of transfer learning and ensemble learning in image-level classification for breast histopathology Y Zheng, C Li, X Zhou, H Chen, H Xu, Y Li, H Zhang, X Li, H Sun, ... Intelligent Medicine 3 (02), 115-128, 2023 | 68 | 2023 |
| A comparative study of deep learning classification methods on a small environmental microorganism image dataset (EMDS-6): from convolutional neural networks to visual transformers P Zhao, C Li, MM Rahaman, H Xu, H Yang, H Sun, T Jiang, M Grzegorzek Frontiers in microbiology 13, 792166, 2022 | 50* | 2022 |
| An enhanced framework of generative adversarial networks (EF-GANs) for environmental microorganism image augmentation with limited rotation-invariant training data H Xu, C Li, MM Rahaman, Y Yao, Z Li, J Zhang, F Kulwa, X Zhao, S Qi, ... IEEE Access 8, 187455-187469, 2020 | 43 | 2020 |
| A review of clustering methods in microorganism image analysis C Li, F Kulwa, J Zhang, Z Li, H Xu, X Zhao Information technology in biomedicine, 13-25, 2021 | 37 | 2021 |
| Emds-6: Environmental microorganism image dataset sixth version for image denoising, segmentation, feature extraction, classification, and detection method evaluation P Zhao, C Li, MM Rahaman, H Xu, P Ma, H Yang, H Sun, T Jiang, N Xu, ... Frontiers in Microbiology 13, 829027, 2022 | 27 | 2022 |
| EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks Z Li, C Li, Y Yao, J Zhang, MM Rahaman, H Xu, F Kulwa, B Lu, X Zhu, ... Plos one 16 (5), e0250631, 2021 | 20 | 2021 |
| Information technology in biomedicine C Li, J Zhang, X Zhao, F Kulwa, Z Li, H Xu, H Li Cham: Springer, 13-25, 2020 | 13 | 2020 |
| MRFU-Net: a multiple receptive field u-net for environmental microorganism image segmentation C Li, J Zhang, X Zhao, F Kulwa, Z Li, H Xu, H Li Information technology in biomedicine, 27-40, 2020 | 9 | 2020 |
| A Registration-and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject H Xu, T Xue, D Liu, F Zhang, CF Westin, R Kikinis, LJ O'Donnell, W Cai The IEEE International Symposium on Biomedical Imaging (ISBI) 2023, 2023 | 6 | 2023 |
| A comparison of segmentation methods in gastric histopathology images C Sun, C Li, H Xu, J Zhang, S Ai, X Zhou, X Li The International Symposium on Image Computing and Digital Medicine (ISICDM …, 2020 | 3 | 2020 |
| SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt H Xu, T Xue, D Liu, F Zhang, CF Westin, R Kikinis, LJ O’Donnell, W Cai International Workshop on Foundation Models for General Medical AI (Oral), 71-80, 2024 | 1 | 2024 |
| An Uncertainty-Distillation-and Voxel-Contrast-based Framework for One-shot Segmentation of Novel White Matter Tracts H Xu, T Xue, D Liu, F Zhang, C Westin, R Kikinis, LJ O'Donnell, W Cai Medical Imaging with Deep Learning (MIDL) 2024, 2024 | 1 | 2024 |
| A new microorganism dataset for image segmentation and classification evaluation Z Li, C Li, J Zhang, H Xu, H Yuan, X Zhu, B Lu The international symposium on image computing and digital medicine (ISICDM …, 2020 | 1 | 2020 |
| Microscopic image augmentation using an enhanced WGAN H Xu, C Li, J Zhang, Z Li, C Sun, X Zhao The international symposium on image computing and digital medicine (ISICDM …, 2020 | 1 | 2020 |
| Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness H Xu, T Xue, J Fan, D Liu, Y Chen, F Zhang, CF Westin, R Kikinis, ... Information Processing in Medical Imaging (IPMI) 2025, 2025 | | 2025 |
Chen LiNortheastern University, ChinaBestätigte E-Mail-Adresse bei bmie.neu.edu.cn