| A rapid, accurate and machine-agnostic segmentation and quantification method for CT-based COVID-19 diagnosis L Zhou, Z Li, J Zhou, H Li, Y Chen, Y Huang, D Xie, L Zhao, M Fan, ... IEEE transactions on medical imaging 39 (8), 2638-2652, 2020 | 209 | 2020 |
| A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics H Li, J Zhou, Z Li, S Chen, X Liao, B Zhang, R Zhang, Y Wang, S Sun, ... Nature Communications 14 (1), 1548, 2023 | 110 | 2023 |
| Modern deep learning in bioinformatics H Li, S Tian, Y Li, Q Fang, R Tan, Y Pan, C Huang, Y Xu, X Gao Journal of molecular cell biology 12 (11), 823-827, 2020 | 100 | 2020 |
| Repetitive DNA sequence detection and its role in the human genome X Liao, W Zhu, J Zhou, H Li, X Xu, B Zhang, X Gao Communications Biology 6 (1), 954, 2023 | 49 | 2023 |
| An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors L Zhou, X Meng, Y Huang, K Kang, J Zhou, Y Chu, H Li, D Xie, J Zhang, ... Nature Machine Intelligence 4 (5), 494-503, 2022 | 27 | 2022 |
| An interpretable computer-aided diagnosis method for periodontitis from panoramic radiographs H Li, J Zhou, Y Zhou, Q Chen, Y She, F Gao, Y Xu, J Chen, X Gao Frontiers in Physiology 12, 655556, 2021 | 26 | 2021 |
| PPML-Omics: a privacy-preserving federated machine learning method protects patients’ privacy in omic data J Zhou, S Chen, Y Wu, H Li, B Zhang, L Zhou, Y Hu, Z Xiang, Z Li, N Chen, ... Science Advances 10 (5), eadh8601, 2024 | 25 | 2024 |
| Neural functions play different roles in triple negative breast cancer (TNBC) and non-TNBC R Tan, H Li, Z Huang, Y Zhou, M Tao, X Gao, Y Xu Scientific Reports 10 (1), 3065, 2020 | 19 | 2020 |
| SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information H Li, H Li, J Zhou, X Gao Bioinformatics 38 (21), 4878-4884, 2022 | 18 | 2022 |
| Personalized and privacy-preserving federated heterogeneous medical image analysis with pppml-hmi J Zhou, L Zhou, D Wang, X Xu, H Li, Y Chu, W Han, X Gao Computers in Biology and Medicine 169, 107861, 2024 | 15 | 2024 |
| miR-596-3p suppresses brain metastasis of non-small cell lung cancer by modulating YAP1 and IL-8 C Li, H Zheng, J Xiong, Y Huang, H Li, H Jin, S Ai, Y Wang, T Su, G Sun, ... Cell Death & Disease 13 (8), 699, 2022 | 15 | 2022 |
| Automatic and interpretable model for periodontitis diagnosis in panoramic radiographs H Li, J Zhou, Y Zhou, J Chen, F Gao, Y Xu, X Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
| Annotating TSSs in multiple cell types based on DNA sequence and RNA-seq data via DeeReCT-TSS J Zhou, B Zhang, H Li, L Zhou, Z Li, Y Long, W Han, M Wang, H Cui, J Li, ... Genomics, Proteomics and Bioinformatics 20 (5), 959-973, 2022 | 7 | 2022 |
| Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare J Zhou, H Li, X Liao, B Zhang, W He, Z Li, L Zhou, X Gao arXiv preprint arXiv:2302.09813, 2023 | 6 | 2023 |
| CaMeRe: A novel tool for inference of cancer metabolic reprogramming H Li, J Zhou, H Sun, Z Qiu, X Gao, Y Xu Frontiers in Oncology 10, 207, 2020 | 6 | 2020 |
| An AI Agent for Fully Automated MultiOmic Analyses J Zhou, B Zhang, G Li, X Chen, H Li, X Xu, S Chen, W He, C Xu, L Liu, ... Advanced Science 11 (44), 2407094, 2024 | 5 | 2024 |
| A unified method to revoke the private data of patients in intelligent healthcare with audit to forget J Zhou, H Li, X Liao, B Zhang, W He, Z Li, L Zhou, X Gao Nature Communications 14 (1), 6255, 2023 | 4 | 2023 |
| Automated bioinformatics analysis via autoba J Zhou, B Zhang, X Chen, H Li, X Xu, S Chen, X Gao arXiv preprint arXiv:2309.03242, 2023 | 4 | 2023 |
| DeeReCT-TSS: A novel meta-learning-based method annotates TSS in multiple cell types based on DNA sequences and RNA-seq data J Zhou, B Zhang, H Li, L Zhou, Z Li, Y Long, W Han, M Wang, H Cui, ... bioRxiv, 2021.07. 14.452328, 2021 | 4 | 2021 |
| KaryoXpert: An accurate chromosome segmentation and classification framework for karyotyping analysis without training with manually labeled metaphase-image mask annotations S Chen, K Zhang, J Hu, N Li, A Xu, H Li, J Zhou, C Huang, Y Yu, X Gao Computers in Biology and Medicine 177, 108601, 2024 | 2 | 2024 |
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research Center在 kaust.edu.sa 的电子邮件经过验证
