Xiaodan Sui - RankMe

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic domain-guided reciprocal network for semi-supervised medical image segmentation. Pattern Recognit. Shulei Chang, Xiaodan Sui, Yanhui Ding, Dengwang Li, Jie Xue
2024	J	`jnl`	RS2-Net: An end-to-end deep learning framework for rodent skull stripping in multi-center brain MRI. NeuroImage Yongkang Lin, Yanhui Ding, Shulei Chang, Xinting Ge, Xiaodan Sui, Yanyun Jiang
2024	J	`jnl`	The effect of preterm birth on thalamic development based on shape and structural covariance analysis. NeuroImage Hongzhuang Li, Mengting Liu, Jianfeng Zhang, Shujuan Liu, Zhicong Fang, Minmin Pan, Xiaodan Sui, Wei Rang, Hang Xiao, Yanyun Jiang, Yuanjie Zheng, Xinting Ge
2023	J	`jnl`	Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusion. Biomed. Signal Process. Control. Yanyun Jiang, Shuai Ma, Wei Xiao, Jing Wang, Yanhui Ding, Yuanjie Zheng, Xiaodan Sui
2022	J	`jnl`	A semi-supervised learning framework for micropapillary adenocarcinoma detection. Int. J. Comput. Assist. Radiol. Surg. Yuan Gao, Yanhui Ding, Wei Xiao, Zhigang Yao, Xiaoming Zhou, Xiaodan Sui, Yanna Zhao, Yuanjie Zheng
2022	J	`jnl`	SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang, Tongtong Che, Shaoting Zhang, Jie Yang, Hongsheng Li
2021	J	`jnl`	ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images. Comput. Syst. Sci. Eng. Yanyun Jiang, Yuanjie Zheng, Xiaodan Sui, Wanzhen Jiao, Yunlong He, Weikuan Jia
2021	J	`jnl`	Deep multispectral image registration network. Comput. Medical Imaging Graph. Xiaodan Sui, Yuanjie Zheng, Yanyun Jiang, Wanzhen Jiao, Yanhui Ding
2019	—	`conf`	DGR-Net: Deep Groupwise Registration of Multispectral Images. IPMI Tongtong Che, Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang, Jinyu Cong, Wanzhen Jiao, Bojun Zhao
2018	J	`jnl`	Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer. IET Comput. Vis. Jian Lian, Sujuan Hou, Xiaodan Sui, Fangzhou Xu, Yuanjie Zheng
2017	J	`jnl`	Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks. Neurocomputing Xiaodan Sui, Yuanjie Zheng, Benzheng Wei, Hongsheng Bi, Jianfeng Wu, Xuemei Pan, Yilong Yin, Shaoting Zhang

# Edge Cases Samples
This is a list of samples that represent some edge cases where the extractors fail (completely or in part) to parse information we know to be there

**Sample:**

**VT:**

**Description:**

**Other:**


## PE Samples
### DotNET
**Sample:** `"/Users/p4c0/_samples/test-unzipped/98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7"`

**VT:** https://www.virustotal.com/gui/file/98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7/details

**Description:**
It is recognized as dotnet but it fails to extract any information, returning an empty dictionary:
```
{
    "sha256": "98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7",
    "md5": "a32eca5321baaf3d9b62ed129458a814",
    "sha1": "4524e99a3849c815a48579fb916e53cded739f46",
    "dotnet": {
        "Event" : [],
        "ExternalUnmanagedMethods" : [],
        "ExternalUnmanagedModules" : [],
        "ManifestResource" : [],
        "Resources" : []
    },
    "analysis_date": "2025-01-22 13:16:20.897"
}
```

with the following errors:
```
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Format error dotnet file 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 Full error : 'CLR header of file is most likely corrupt.'
98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting metadata tables for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'existent_metadata_tables'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error extracting GUID for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'guid_stream_guids'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting CLR version for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'get_runtime_target_version'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting module info for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'metadata_table_exists'
2025-01-22 14:16:20,896 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting basic properties for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'info'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting assembly flags for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'clr_header'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting more metadata/info clr header for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'get_number_of_streams'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting streams for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'get_stream_names'
2025-01-22 14:16:20,897 - 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7 - ERROR - Error getting resources for 98eca73a0e33a41a72ac55c4bd0a75e5c83fdc3de382d031346045105cdf10e7: 'NoneType' object has no attribute 'has_resources'
```
**Other:**