| MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark MMS Contributors | 439 | 2020 |
| 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 | 179 | 2020 |
| Mmsegmentation, an open source semantic segmentation toolbox MMS Contributors | 71* | 2020 |
| DeeReCT-APA: prediction of alternative polyadenylation site usage through deep learning Z Li, Y Li, B Zhang, Y Li, Y Long, J Zhou, X Zou, M Zhang, Y Hu, W Chen, ... Genomics, Proteomics and Bioinformatics 20 (3), 483-495, 2022 | 23 | 2022 |
| 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 | 15 | 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, ... Nature Machine Intelligence 4 (5), 494-503, 2022 | 12 | 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 |
| 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 | 9 | 2021 |
| Applications of deep learning in understanding gene regulation Z Li*, E Gao*, J Zhou, W Han, X Xu, X Gao Cell Reports Methods, 2023 | 6 | 2023 |
| 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 | 5 | 2022 |
| 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 & Bioinformatics 20 (5), 959-973, 2022 | 5* | 2022 |
| 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, ... bioRxiv, 2022.03. 23.485485, 2022 | 5 | 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 medRxiv, 2023.02. 19.22279631, 2023 | 4 | 2023 |
| Pan‐tissue analysis of allelic alternative polyadenylation suggests widespread functional regulation Y Li, B Schaefke, X Zou, M Zhang, F Heyd, W Sun, B Zhang, G Li, W Liang, ... Molecular systems biology 16 (4), e9367, 2020 | 4 | 2020 |
| 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 | 4 | 2020 |
| SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model J Zhou*, X He*, L Sun*, J Xu, X Chen, Y Chu, L Zhou, X Liao, B Zhang, ... medRxiv, 2023.06. 10.23291127, 2023 | 3* | 2023 |
| 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 bioRxiv, 2023.02. 17.529040, 2023 | 3 | 2023 |
| Accurate transcriptome-wide identification and quantification of alternative polyadenylation from RNA-seq data with APAIQ Y Long, B Zhang, S Tian, JJ Chan, J Zhou, Z Li, Y Li, Z An, X Liao, Y Wang, ... Genome Research 33 (4), 644-657, 2023 | 2 | 2023 |
| AB-Gen: Antibody Library Design with Generative Pre-trained Transformer and Deep Reinforcement Learning X Xu, T Xu, J Zhou, X Liao, R Zhang, Y Wang, L Zhang, X Gao Genomics, Proteomics & Bioinformatics, 2023 | 1 | 2023 |
| Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost J Zhou, X Chen, X Gao arXiv preprint arXiv:2306.10765, 2023 | 1 | 2023 |
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research Center在 kaust.edu.sa 的电子邮件经过验证
