Sahar F. Zafar

19 papers A 1Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Electronic Health Record Phenotyping of Acute and Subacute Subdural Hematoma. Algorithms Gregory B. Hooke, Haoqi Sun, Catherine Clive, Spencer Boris, Niels Turley, Lydia Petersen, Jaden Searle, Bram Overmeer, Ali Han Yaramis, Karan Singh, Arjun Singh, Daniel Sumsion, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Marta P. B. Fernandes, Katie L. Stone, Dennis Hwang, Lynn Marie Trotti, Gari D. Clifford, Umakanth Katwa, Shibani S. Mukerji, Sahar F. Zafar, Robert J. Thomas, M. Brandon Westover
2025	J	`jnl`	Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records. Int. J. Medical Informatics Ruoqi Wei, Stephanie S. Buss, Rebecca Milde, Marta Fernandes, Daniel Sumsion, Elijah Davis, Wan-Yee Kong, Yiwen Xiong, Jet Veltink, Samvrit Rao, Tara M. Westover, Lydia Petersen, Niels Turley, Arjun Singh, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Alice D. Lam, Katie L. Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D. Clifford, Umakanth Katwa, Robert J. Thomas, Shibani Mukerji, Sahar F. Zafar, M. Brandon Westover, Haoqi Sun
2024	J	`jnl`	Corrigendum to "Brain health scores to predict neurological outcomes from electronic health records" [Int. J. Med. Inform. (2023) 105270]. Int. J. Medical Informatics Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover
2024	A	`conf`	Safe and Interpretable Estimation of Optimal Treatment Regimes. AISTATS Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
2023	J	`jnl`	Brain health scores to predict neurological outcomes from electronic health records. Int. J. Medical Informatics Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover
2023	J	`jnl`	Classification of neurologic outcomes from medical notes using natural language processing. Expert Syst. Appl. Marta B. Fernandes, Navid Valizadeh, Haitham Alabsi, Syed A. Quadri, Ryan A. Tesh, Abigail A. Bucklin, Haoqi Sun, Aayushee Jain, Laura Brenner, Elissa M. Ye, Wendong Ge, Sarah I. Collens, Stacie Lin, Sudeshna Das, Gregory K. Robbins, Sahar F. Zafar, Shibani S. Mukerji, M. Brandon Westover
2023	J	`jnl`	Estimating Trustworthy and Safe Optimal Treatment Regimes. CoRR Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
2022	J	`jnl`	Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar F. Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover
2021	J	`jnl`	Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das
2020	J	`jnl`	Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das
2020	J	`jnl`	Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process. J. Vis. Commun. Image Represent. Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
2019	—	`conf`	Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound. CAIP (1) Sahar F. Zafar, Tuomas Eerola, Paulo Ferreira, Heikki Kälviäinen, Alan C. Bovik
2019	—	`conf`	Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images. ISVC (1) Sahar F. Zafar, Mazen Diab, Tuomas Eerola, Summer E. Hanson, Gregory P. Reece, Gary J. Whitman, Mia K. Markey, Krishnaswamy Ravi-Chandar, Alan C. Bovik, Heikki Kälviäinen
2019	J	`jnl`	Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process. CoRR Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
2018	—	`conf`	Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. EMBC Jin Jing, Emile drAngremont, Sahar F. Zafar, Eric S. Rosenthal, Mohammad Tabaeizadeh, Senan Ebrahim, Justin Dauwels, M. Brandon Westover
2017	—	`conf`	Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation. SCIA (2) Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
2016	—	`conf`	Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm. ACCV Workshops (3) Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
2015	J	`jnl`	Segmentation of Overlapping Elliptical Objects in Silhouette Images. IEEE Trans. Image Process. Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
2015	—	`conf`	Segmentation of Partially Overlapping Nanoparticles Using Concave Points. ISVC (1) Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

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.