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ORCIDXiao Ma 0011
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
Other persons with the same name
- Xiao Ma — disambiguation page
- Xiao Ma 0001
![[0000-0001-6617-1978]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6617-1978")
— Sun Yat-sen University, School of Computer Science and Engineering, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China (and 4 more) - Xiao Ma 0002 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Xiao Ma 0003 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Xiao Ma 0004 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Xiao Ma 0005 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- Xiao Ma 0006 — Dyson Robot Learning Lab, London, UK (and 1 more)
- Xiao Ma 0007 — Shaanxi Normal University, School of Physics and Information Technology, Xi'an, China
- Xiao Ma 0008 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA
- Xiao Ma 0009 — Beijing University of Posts and Telecommunications, School of Computing, State Key Laboratory of Networking and Switching Technology, Beijing, China (and 1 more)
- Xiao Ma 0010 — Google Research, New York, NY, USA (and 1 more)
- Xiao Ma 0012 — University of Houston, C. T. Bauer College of Business, Houston, TX, USA (and 2 more)
- Xiao Ma 0013 — Nottingham Trent University, Nottingham Business School, Nottingham, UK (and 1 more)
- Xiao Ma 0014 — University of Illinois at Urbana-Champaign, IL, USA (and 1 more)
- Xiao Ma 0015 — Chongqing University of Science and Technology, School of Intelligent Technology and Engineering, Chongqing, China
- Xiao Ma 0016 — University of Science and Technology of China, Key Laboratory of Brain Function and Diseases, Hefei, China (and 1 more)
- Xiao Ma 0017 — University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
- Xiao Ma 0018 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
- Xiao Ma 0019 — Mayo Clinic, Rochester, MN, USA
- Xiao Ma 0021 — Xidian University, School of Telecommunication Engineering, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Xiao Ma 0022 — Beijing Language and Culture University, School of Information Science, Beijing, China
- Xiao Ma 0023 — Hong Kong Polytechnic University, Hong Kong
- Xiao Ma 0024 — LMU Munich, University Hospital, Department of Psychiatry and Psychotherapy, Munich, Germany
- Xiao Ma 0025 — University of Texas Southwestern Medical Center, Department of Bioinformatics, Dallas, TX, USA
- Xiao Ma 0026 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen, China
- Xiao Ma 0027 — University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, USA
- Xiao Ma 0028 — Alibaba Group, Beijing, China
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2020 – today
- 2024
[j13]Zexuan Ji, Hao Qian, Xiao Ma:
Progressive Group Convolution Fusion network for colon polyp segmentation. Biomed. Signal Process. Control. 96: 106586 (2024)- [j12]Xiao Ma, Zetian Zhang, Rong Yu, Zexuan Ji, Mingchao Li, Yuhan Zhang, Qiang Chen:
SAVE: Encoding spatial interactions for vision transformers. Image Vis. Comput. 152: 105312 (2024) - [j11]Zexuan Ji, Xiao Ma, Theodore Leng, Daniel L. Rubin, Qiang Chen:
Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT. Pattern Recognit. 153: 110507 (2024) - [j10]Kun Huang, Na Su, Yuhui Tao, Mingchao Li, Xiao Ma, Zexuan Ji, Songtao Yuan, Qiang Chen:
Cross-Device OCTA Generation by Patch-Based 3D Multi-Scale Feature Adaption. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 641-653 (2024) - [j9]Zexuan Ji, Shunlong Ye, Xiao Ma:
Sparse Coding Inspired LSTM and Self-Attention Integration for Medical Image Segmentation. IEEE Trans. Image Process. 33: 6098-6113 (2024) - [j8]Yuhan Zhang, Xiao Ma, Kun Huang, Mingchao Li, Pheng-Ann Heng:
Semantic-Oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images. IEEE Trans. Medical Imaging 43(8): 2960-2969 (2024) - [j7]Kun Huang, Xiao Ma, Zetian Zhang, Yuhan Zhang, Songtao Yuan, Huazhu Fu, Qiang Chen:
Diverse Data Generation for Retinal Layer Segmentation With Potential Structure Modeling. IEEE Trans. Medical Imaging 43(10): 3584-3595 (2024) - [c8]Kun Huang, Xiao Ma, Na Su, Songtao Yuan, Qiang Chen:
Model-Based Label-to-Image Diffusion for Semi-Supervised Choroidal Vessel Segmentation. ICASSP 2024: 1886-1890 - [c7]Baoye Xie, Xiao Zhang, Kun Huang, Xiao Ma, Zetian Zhang, Qiang Chen:
OCT Image Generation for Subretinal Fluid Segmentation with Finite Element Structure Modeling. ISBI 2024: 1-5 - [c6]Yuhan Zhang, Kun Huang, Xikai Yang, Xiao Ma, Jian Wu, Ningli Wang, Xi Wang, Pheng-Ann Heng:
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images. MICCAI (5) 2024: 166-176 - [c5]Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu:
Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. MICCAI (7) 2024: 478-487 - [i4]Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu:
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. CoRR abs/2405.16516 (2024) - [i3]Xiao Ma, Yuhui Tao, Yuhan Zhang, Zexuan Ji, Yizhe Zhang, Qiang Chen:
Test-Time Generative Augmentation for Medical Image Segmentation. CoRR abs/2406.17608 (2024) - 2023
- [j6]Kun Huang, Na Su, Xiao Ma, Mingchao Li, Jiadong Yang, Songtao Yuan, Yun Liu, Qiang Chen:
Choroidal vessel segmentation in SD-OCT with 3D Shape-aware Adversarial Networks. Biomed. Signal Process. Control. 84: 104982 (2023) - [j5]Mingchao Li, Kun Huang, Xiao Ma, Yuexuan Wang, Wen Fan, Qiang Chen:
Mask Distillation Network for Conjunctival Hyperemia Severity Classification. Mach. Intell. Res. 20(6): 909-922 (2023) - [j4]Yuhui Tao, Xiao Ma, Yizhe Zhang, Kun Huang, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen:
LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images. IEEE J. Biomed. Health Informatics 27(5): 2432-2443 (2023) - [c4]Xiao Ma, Zetian Zhang, Zexuan Ji, Kun Huang, Na Su, Songtao Yuan, Qiang Chen:
Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography. MICCAI (5) 2023: 504-514 - [c3]Zetian Zhang, Xiao Ma, Zexuan Ji, Na Su, Songtao Yuan, Qiang Chen:
CBAV-Loss: Crossover and Branch Losses for Artery-Vein Segmentation in OCTA Images. PRCV (13) 2023: 51-60 - [i2]Xiao Ma, Zetian Zhang, Zexuan Ji, Kun Huang, Na Su, Songtao Yuan, Qiang Chen:
Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography. CoRR abs/2312.07052 (2023) - 2022
- [j3]Yuhan Zhang, Xiao Ma, Mingchao Li, Zexuan Ji, Songtao Yuan, Qiang Chen:
LamNet: A Lesion Attention Maps-Guided Network for the Prediction of Choroidal Neovascularization Volume in SD-OCT Images. IEEE J. Biomed. Health Informatics 26(4): 1660-1671 (2022) - [j2]Jiadong Yang, Yuhui Tao, Qiuzhuo Xu, Yuhan Zhang, Xiao Ma, Songtao Yuan, Qiang Chen:
Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation. IEEE J. Biomed. Health Informatics 26(8): 3872-3883 (2022) - [c2]Yuying Ge, Xiao Ma, Qiang Chen, Zexuan Ji:
Unsupervised Medical Image Registration Based on Multi-scale Cascade Network. PRCV (2) 2022: 251-261 - [c1]Ao Chen, Xiao Ma, Qiang Chen, Zexuan Ji:
PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal Fundus Photography. PRCV (2) 2022: 274-285 - [i1]Mingchao Li, Kun Huang, Zetian Zhang, Xiao Ma, Qiang Chen:
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation. CoRR abs/2205.03646 (2022) - 2020
- [j1]Xiao Ma, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen:
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images. IEEE J. Biomed. Health Informatics 24(12): 3443-3455 (2020)
Coauthor Index
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