Dairong Cao

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A versatile end-to-end deep learning framework for improved full-automatic MRI hemodynamic parameter estimation. Biomed. Signal Process. Control. Lu Wang, Qinqin Yang, Pujie Zhang, Congbo Cai, Zhen Xing, Zhong Chen, Dairong Cao, Shuhui Cai
2025	J	`jnl`	Enhancing Semi-Supervised Brain Tumor Segmentation via Dual-Uncertainty Guided 2.5-D CNN-Transformer and Voxel-Wise Contrastive Learning. IEEE Trans. Instrum. Meas. Yudan Zhou, Jianfeng Bao, Zhen Xing, Dairong Cao, Congbo Cai, Zhong Chen, Shuhui Cai
2025	J	`jnl`	Multiparametric MRI for differential diagnosis of primary central nervous system lymphoma and atypical glioblastoma: an analysis incorporating DWI, DCE-MRI, and contrast agent preload DSC-PWI. BMC Medical Imaging Lan Yu, Shujie Yu, Feng Wang, Xiaofang Zhou, Feiman Yang, Dairong Cao, Zhen Xing
2025	J	`jnl`	Prediction of brain metastasis in patients with epidermal growth factor receptor-positive lung adenocarcinoma based on lung computed tomography-derived radiomics features. BMC Medical Imaging Jinhua Zhang, Wei Guo, Lijuan Lin, Xiang Lin, Yang Song, Dairong Cao, Dehua Chen
2024	J	`jnl`	Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma. BMC Medical Imaging Xiaodan Chen, Qing Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang, Dairong Cao
2024	J	`jnl`	Prediction of PD-L1 and Ki-67 status in primary central nervous system diffuse large B-cell lymphoma by diffusion and perfusion MRI: a preliminary study. BMC Medical Imaging Xiaofang Zhou, Feng Wang, Lan Yu, Feiman Yang, Jie Kang, Dairong Cao, Zhen Xing
2024	J	`jnl`	The role of dynamic larynx CT in the investigation of persistent hoarseness following viral infections. BMC Bioinform. Yong Wang, Ziying Lin, Guanbin Zhu, Hua Zhong, Dongjian Xiao, Yanli Ma, Peiyun Zhuang, Dairong Cao
2022	J	`jnl`	A multimodal domain adaptive segmentation framework for IDH genotype prediction. Int. J. Comput. Assist. Radiol. Surg. Hailong Zeng, Zhen Xing, Fenglian Gao, Zhigang Wu, Wanrong Huang, Yan Su, Zhong Chen, Shuhui Cai, Dairong Cao, Congbo Cai
2022	J	`jnl`	Grading of IDH-mutant astrocytoma using diffusion, susceptibility and perfusion-weighted imaging. BMC Medical Imaging Xiefeng Yang, Zhen Xing, Dejun She, Yu Lin, Hua Zhang, Yan Su, Dairong Cao
2020	J	`jnl`	Performance of diffusion and perfusion MRI in evaluating primary central nervous system lymphomas of different locations. BMC Medical Imaging Zhen Xing, Nannan Kang, Yu Lin, Xiaofang Zhou, Zebin Xiao, Dairong Cao
2016	J	`jnl`	Chemical shift MR imaging in the lumbar vertebra: the effect of field strength, scanner vendors and flip angles in repeatability of signal intensity index measurement. BMC Medical Imaging Zebin Xiao, Jian Li, Chengqi Li, Yuyang Zhang, Dejun She, Dairong Cao
2015	J	`jnl`	Multiple paragangliomas of head and neck associated with hepatic paraganglioma: a case report. BMC Medical Imaging Zebin Xiao, Dejun She, Dairong Cao

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.