Fangfang Gou - RankMe

42 papers Journal 38Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FFBFormer: Integrating Multi-Scale Transformer Networks for Glioma Diagnosis in Decision-Making System. Biomed. Signal Process. Control. Lifan Zhang, Xinrong Tang, Jing Zhou, Jun Liu, Fangfang Gou, Jia Wu
2026	J	`jnl`	MTLCS: A cervical auxiliary classification strategy based on multi-task learning. Complex Intell. Syst. Li Wen, Xiaoqing Zhang, Fangfang Gou, Jia Wu
2025	—	`conf`	FFBFormer: A Decision-Support Transformer Network for Brain Glioma Analysis. BIBM Jia Wu, Lifan Zhang, Fangfang Gou
2025	J	`jnl`	Opportunistic routing for mobile edge computing: A community detected and task priority aware approach. Comput. Networks Jia Wu, Tingyi Dai, Peiyuan Guan, Ziru Chen, Fangfang Gou, Amir Taherkordi
2025	—	`conf`	Pathological Image Segmentation Technology Based on Dual Attention and Multi-Scale Feature Fusion Facilitates Ai-Assisted Diagnosis. BIBM Quiyang Wang, Fangfang Gou, Yisong Wang, Jia Wu
2025	J	`jnl`	TransRNetFuse: a highly accurate and precise boundary FCN-transformer feature integration for medical image segmentation. Complex Intell. Syst. Baotian Li, Jing Zhou, Fangfang Gou, Jia Wu
2025	J	`jnl`	Tumor Auxiliary Prediction Strategy Based on Multiscale Feature Fusion in Medical Decision-Making System. Adv. Intell. Syst. Yingqing Lu, Jing Zhou, Fangfang Gou, Jia Wu
2025	J	`jnl`	VMDUnet: Advancing Glioma Segmentation Integrating With Mamba and Dual Cross-Attention. Int. J. Imaging Syst. Technol. Zhuo Chen, Yisong Wang, Fangfang Gou
2024	—	`conf`	A novel feature alignment-based cell nucleus identification scheme for medical decision-making systems. BIBM Fangfang Gou, Tingyi Dai, Jia Wu
2024	J	`jnl`	A pathology image segmentation framework based on deblurring and region proxy in medical decision-making system. Biomed. Signal Process. Control. Limiao Li, Keke He, Xiaoyu Zhu, Fangfang Gou, Jia Wu
2024	J	`jnl`	A semantic fidelity interpretable-assisted decision model for lung nodule classification. Int. J. Comput. Assist. Radiol. Surg. Xiangbing Zhan, Huiyun Long, Fangfang Gou, Jia Wu
2024	J	`jnl`	An intelligent MRI assisted diagnosis and treatment system for osteosarcoma based on super-resolution. Complex Intell. Syst. Xu Zhong, Fangfang Gou, Jia Wu
2024	J	`jnl`	Artificial intelligence multiprocessing scheme for pathology images based on transformer for nuclei segmentation. Complex Intell. Syst. Fangfang Gou, Xinrong Tang, Jun Liu, Jia Wu
2024	J	`jnl`	Asymptotic multilayer pooled transformer based strategy for medical assistance in developing countries. Comput. Electr. Eng. Keke He, Limiao Li, Jing Zhou, Fangfang Gou, Jia Wu
2024	J	`jnl`	Continuous Refinement-Based Digital Pathology Image Assistance Scheme in Medical Decision-Making Systems. IEEE J. Biomed. Health Informatics Jia Wu, Tian Luo, Jiachen Zeng, Fangfang Gou
2024	J	`jnl`	Cytopathology image analysis method based on high-resolution medical representation learning in medical decision-making system. Complex Intell. Syst. Baotian Li, Feng Liu, Baolong Lv, Yongjun Zhang, Fangfang Gou, Jia Wu
2024	J	`jnl`	FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks. IEEE Internet Things J. Jia Wu, Tingyi Dai, Peiyuan Guan, Su Liu, Fangfang Gou, Amir Taherkordi, Yushuai Li, Tianyi Li
2024	J	`jnl`	Medical assisted-segmentation system based on global feature and stepwise feature integration for feature loss problem. Biomed. Signal Process. Control. Zhitao Huang, Ziqiang Ling, Fangfang Gou, Jia Wu
2024	J	`jnl`	Optimization of edge server group collaboration architecture strategy in IoT smart cities application. Peer Peer Netw. Appl. Fangfang Gou, Jia Wu
2024	J	`jnl`	Pathological Image Segmentation Method Based on Multiscale and Dual Attention. Int. J. Intell. Syst. Jia Wu, Yuxia Niu, Ziqiang Ling, Jun Zhu, Fangfang Gou
2024	J	`jnl`	Two-stage coarse-to-fine method for pathological images in medical decision-making systems. IET Image Process. Keke He, Jun Zhu, Limiao Li, Fangfang Gou, Jia Wu
2023	J	`jnl`	A Medically Assisted Model for Precise Segmentation of Osteosarcoma Nuclei on Pathological Images. IEEE J. Biomed. Health Informatics Jia Wu, Tingyu Yuan, Jiachen Zeng, Fangfang Gou
2023	J	`jnl`	An effective data communication community establishment scheme in opportunistic networks. IET Commun. Juan Huang, Fangfang Gou, Jia Wu
2023	J	`jnl`	Global field of view-based pixel-level recognition method for medical images. J. Intell. Fuzzy Syst. Keke He, Haojun Tang, Fangfang Gou, Jia Wu
2023	J	`jnl`	Image segmentation technology based on transformer in medical decision-making system. IET Image Process. Keke He, Fangfang Gou, Jia Wu
2023	J	`jnl`	Novel data transmission technology based on complex IoT system in opportunistic social networks. Peer Peer Netw. Appl. Fangfang Gou, Jia Wu
2023	J	`jnl`	Task offloading scheme combining deep reinforcement learning and convolutional neural networks for vehicle trajectory prediction in smart cities. Comput. Commun. Jiachen Zeng, Fangfang Gou, Jia Wu
2022	J	`jnl`	A Cascaded Multi-Stage Framework for Automatic Detection and Segmentation of Pulmonary Nodules in Developing Countries. IEEE J. Biomed. Health Informatics Zhixun Zhou, Fangfang Gou, Yanlin Tan, Jia Wu
2022	J	`jnl`	A medical assistant segmentation method for MRI images of osteosarcoma based on DecoupleSegNet. Int. J. Intell. Syst. Jia Wu, Yuxuan Guo, Fangfang Gou, Zhehao Dai
2022	J	`jnl`	An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images. IEEE J. Biomed. Health Informatics Jia Wu, Pei Xiao, Haojie Huang, Fangfang Gou, Zhixun Zhou, Zhehao Dai
2022	—	`conf`	An Attention-based AI-assisted Segmentation System for Osteosarcoma MRI Images. BIBM Fangfang Gou, Jia Wu
2022	J	`jnl`	Data Transmission Strategy Based on Node Motion Prediction IoT System in Opportunistic Social Networks. Wirel. Pers. Commun. Fangfang Gou, Jia Wu
2022	J	`jnl`	Data transmission scheme based on node model training and time division multiple access with IoT in opportunistic social networks. Peer-to-Peer Netw. Appl. Jia Wu, Liao Yu, Fangfang Gou
2022	J	`jnl`	Disease Control and Prevention in Rare Plants Based on the Dominant Population Selection Method in Opportunistic Social Networks. Comput. Intell. Neurosci. Jia Wu, Fangfang Gou, Xiaoming Tian
2022	J	`jnl`	Information transmission mode and IoT community reconstruction based on user influence in opportunistic s ocial networks. Peer-to-Peer Netw. Appl. Jia Wu, Jiahao Xia, Fangfang Gou
2022	J	`jnl`	Intelligent Assistant Diagnosis System of Osteosarcoma MRI Image Based on Transformer and Convolution in Developing Countries. IEEE J. Biomed. Health Informatics Ziqiang Ling, Shun Yang, Fangfang Gou, Zhehao Dai, Jia Wu
2022	J	`jnl`	Message Transmission Strategy Based on Recurrent Neural Network and Attention Mechanism in Iot System. J. Circuits Syst. Comput. Fangfang Gou, Jia Wu
2022	J	`jnl`	Triad link prediction method based on the evolutionary analysis with IoT in opportunistic social networks. Comput. Commun. Fangfang Gou, Jia Wu
2021	J	`jnl`	A Convolutional Neural Network-Based Intelligent Medical System with Sensors for Assistive Diagnosis and Decision-Making in Non-Small Cell Lung Cancer. Sensors Xiangbing Zhan, Huiyun Long, Fangfang Gou, Xun Duan, Guangqian Kong, Jia Wu
2021	J	`jnl`	A Reputation Value-Based Task-Sharing Strategy in Opportunistic Complex Social Networks. Complex. Jia Wu, Fangfang Gou, Wangping Xiong, Xian Zhou
2021	J	`jnl`	A Staging Auxiliary Diagnosis Model for Nonsmall Cell Lung Cancer Based on the Intelligent Medical System. Comput. Math. Methods Medicine Jia Wu, Fangfang Gou, Yanlin Tan
2021	J	`jnl`	Hybrid data transmission scheme based on source node centrality and community reconstruction in opportunistic social networks. Peer-to-Peer Netw. Appl. Yepeng Deng, Fangfang Gou, Jia Wu

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.