Dalit Ben-Yosef

11 papers Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EmbryoProfiler: A Visual Clinical Decision Support System for IVF. IEEE Trans. Vis. Comput. Graph. Johannes Knittel, Simon Warchol, Jakob Troidl, Camelia D. Brumar, Helen Yu Yang, Eric Mörth, Robert Krüger, Daniel Needleman, Dalit Ben-Yosef, Hanspeter Pfister
2025	J	`jnl`	Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos. CoRR Zhiyi Shi, Junsik Kim, Helen Y. Yang, Yonghyun Song, Hyun-Jic Oh, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2024	—	`conf`	Multimodal Learning for Embryo Viability Prediction in Clinical IVF. MICCAI (5) Junsik Kim, Zhiyi Shi, Davin Jeong, Johannes Knittel, Helen Y. Yang, Yonghyun Song, Wanhua Li, Yicong Li, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2024	J	`jnl`	Multimodal Learning for Embryo Viability Prediction in Clinical IVF. CoRR Junsik Kim, Zhiyi Shi, Davin Jeong, Johannes Knittel, Helen Y. Yang, Yonghyun Song, Wanhua Li, Yicong Li, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2023	—	`conf`	Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. ISBI Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2023	—	`conf`	Multi-Task Curriculum Learning for Partially Labeled Data. ISBI Won-Dong Jang, Stanislav Lukyanenko, Donglai Wei, Jiancheng Yang, Brian D. Leahy, Helen Y. Yang, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2021	—	`conf`	Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. MICCAI (8) Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2021	J	`jnl`	Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. CoRR Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2020	—	`conf`	Automated Measurements of Key Morphological Features of Human Embryos for IVF. MICCAI (5) Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman
2020	J	`jnl`	Automated Measurements of Key Morphological Features of Human Embryos for IVF. CoRR Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman
2020	J	`jnl`	Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. CoRR Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister

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.