Zanting Ye - RankMe

18 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	InViC: Intent-aware Visual Cues for Medical Visual Question Answering. CoRR Zhisong Wang, Ziyang Chen, Zanting Ye, Hongze Zhu, Yefeng Zheng, Yong Xia
2026	J	`jnl`	MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models. CoRR Shengyuan Liu, Zanting Ye, Yunrui Lin, Chen Hu, Wanting Geng, Xu Han, Bulat Ibragimov, Yefeng Zheng, Yixuan Yuan
2026	J	`jnl`	Multicontrast MR-Guided Diffusion Model for Ultra-Low-Dose Brain PET Denoising in Temporal Lobe Epilepsy. IEEE J. Biomed. Health Informatics Xiaolong Niu, Jieqin Lv, Zanting Ye, Yibo Wei, Yijun Lu, Xuanbin Wu, Wenxiang Yi, Pengcheng Ran, Lijun Lu
2026	J	`jnl`	SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation. Biomed. Signal Process. Control. Xiang Zhang, Wenbing Lv, Lijun Lu, Zanting Ye, Minjie Zhou, Jiajie Duan, Yunshan Su, Shunfang Wang
2026	J	`jnl`	Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT. CoRR Zanting Ye, Xuanbin Wu, Guoqing Zhong, Shengyuan Liu, Jiashuai Liu, Ge Song, Zhisong Wang, Jing Hao, Xiaolong Niu, Yefeng Zheng, Yu Zhang, Lijun Lu
2026	J	`jnl`	Unveiling and Bridging the Functional Perception Gap in MLLMs: Atomic Visual Alignment and Hierarchical Evaluation via PET-Bench. CoRR Zanting Ye, Xiaolong Niu, Xuanbin Wu, Xu Han, Shengyuan Liu, Jing Hao, Zhihao Peng, Hao Sun, Jieqin Lv, Fanghu Wang, Yanchao Huang, Hubing Wu, Yixuan Yuan, Habib Zaidi, Arman Rahmim, Yefeng Zheng, Lijun Lu
2026	J	`jnl`	Yolo-HLSAM: Adapting foundation segment anything model for semi-automatic detection and segmentation of breast cancer microcalcification clusters. Biomed. Signal Process. Control. Banteng Liu, Hongguang Chen, Tianyi Zhu, Zanting Ye, Haidong Cui, Ke Wang
2025	J	`jnl`	FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations. Medical Image Anal. Zanting Ye, Ke Wang, Wenbing Lv, Qianjin Feng, Lijun Lu
2025	J	`jnl`	MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising. CoRR Xiaolong Niu, Zanting Ye, Xu Han, Yanchao Huang, Hao Sun, Hubing Wu, Lijun Lu
2025	—	`conf`	MDAA-Diff: CT-Guided Multi-dose Adaptive Attention Diffusion Model for PET Denoising. MICCAI (3) Xiaolong Niu, Zanting Ye, Xu Han, Yanchao Huang, Hao Sun, Hubing Wu, Lijun Lu
2025	J	`jnl`	OralGPT-Omni: A Versatile Dental Multimodal Large Language Model. CoRR Jing Hao, Yuci Liang, Lizhuo Lin, Yuxuan Fan, Wenkai Zhou, Kaixin Guo, Zanting Ye, Yanpeng Sun, Xinyu Zhang, Yanqi Yang, Qiankun Li, Hao Tang, James Kit-Hon Tsoi, Linlin Shen, Kuo Feng Hung
2025	—	`conf`	PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-Staging Classification with Epstein-Barr Virus DNA. MICCAI (1) Wantong Lu, Xu Han, Yibo Wei, Zanting Ye, Lijun Lu
2025	—	`conf`	Self is the Best Learner: CT-Free Ultra-low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning. MICCAI (3) Zanting Ye, Xiaolong Niu, Xu Han, Xuanbin Wu, Wantong Lu, Yijun Lu, Hao Sun, Yanchao Huang, Hubing Wu, Lijun Lu
2025	J	`jnl`	Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning. CoRR Zanting Ye, Xiaolong Niu, Xuanbin Wu, Wantong Lu, Lijun Lu
2025	J	`jnl`	Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation. CoRR Zanting Ye, Xiaolong Niu, Xuanbin Wu, Wenxiang Yi, Yuan Chang, Lijun Lu
2024	J	`jnl`	MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization. Knowl. Based Syst. Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen, Banteng Liu
2023	J	`jnl`	MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization. CoRR Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen, Banteng Liu
2023	J	`jnl`	SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation. CoRR Zanting Ye

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.