Lawrence R. Frank

21 papers Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Brain Waves: Emergence of Localized, Persistent, Weakly Evanescent Cortical Loops. J. Cogn. Neurosci. Vitaly L. Galinsky, Lawrence R. Frank
2018	J	`jnl`	Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes. Neural Comput. Vitaly L. Galinsky, Antígona Martínez, Martin P. Paulus, Lawrence R. Frank
2017	J	`jnl`	A Unified Theory of Neuro-MRI Data Shows Scale-Free Nature of Connectivity Modes. Neural Comput. Vitaly L. Galinsky, Lawrence R. Frank
2017	J	`jnl`	Symplectomorphic registration with phase space regularization by entropy spectrum pathways. CoRR Vitaly L. Galinsky, Lawrence R. Frank
2016	J	`jnl`	Dynamic Multiscale Modes of Resting State Brain Activity Detected by Entropy Field Decomposition. Neural Comput. Lawrence R. Frank, Vitaly L. Galinsky
2016	J	`jnl`	The Lamellar Structure of the Brain Fiber Pathways. Neural Comput. Vitaly L. Galinsky, Lawrence R. Frank
2015	J	`jnl`	Simultaneous Multi-Scale Diffusion Estimation and Tractography Guided by Entropy Spectrum Pathways. IEEE Trans. Medical Imaging Vitaly L. Galinsky, Lawrence R. Frank
2014	J	`jnl`	Automated segmentation and shape characterization of volumetric data. NeuroImage Vitaly L. Galinsky, Lawrence R. Frank
2013	J	`jnl`	A computational model for diffusion weighted imaging of myelinated white matter. NeuroImage Gregory T. Baxter, Lawrence R. Frank
2013	J	`jnl`	Patient-specific models of cardiac biomechanics. J. Comput. Phys. Adarsh Krishnamurthy, Christopher T. Villongco, Joyce Chuang, Lawrence R. Frank, Vishal Nigam, Ernest Belezzuoli, Paul Stark, David E. Krummen, Sanjiv M. Narayan, Jeffrey H. Omens, Andrew D. McCulloch, Roy Kerckhoffs
2012	J	`jnl`	An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation. Medical Image Anal. Yongjie Zhang, Xinghua Liang, Jun Ma, Yiming Jing, Matthew J. Gonzales, Christopher T. Villongco, Adarsh Krishnamurthy, Lawrence R. Frank, Vishal Nigam, Paul Stark, Sanjiv M. Narayan, Andrew D. McCulloch
2010	J	`jnl`	High efficiency, low distortion 3D diffusion tensor imaging with variable density spiral fast spin echoes (3D DW VDS RARE). NeuroImage Lawrence R. Frank, Youngkyoo Jung, Souheil J. Inati, J. Michael Tyszka, Eric C. Wong
2009	J	`jnl`	Decreased white matter integrity in late-myelinating fiber pathways in Alzheimer's disease supports retrogenesis. NeuroImage Nikki H. Stricker, B. C. Schweinsburg, Lisa Delano-Wood, Christina E. Wierenga, Katherine J. Bangen, K. Y. Haaland, Lawrence R. Frank, David P. Salmon, Mark W. Bondi
2006	J	`jnl`	Anterior cingulate activity modulates nonlinear decision weight function of uncertain prospects. NeuroImage Martin P. Paulus, Lawrence R. Frank
2006	—	`conf`	Simulation of the MRI Measurement of Diffusion in Realistic Neural Tissue Models. EMBC Lawrence R. Frank, G. Balls, J. L. Rapp
2004	J	`jnl`	Discrepancies between BOLD and flow dynamics in primary and supplementary motor areas: application of the balloon model to the interpretation of BOLD transients. NeuroImage Takayuki Obata, Thomas T. Liu, Karla L. Miller, Wen-Ming Luh, Eric C. Wong, Lawrence R. Frank, Richard B. Buxton
2004	J	`jnl`	Efficiency, power, and entropy in event-related FMRI with multiple trial types: Part I: theory. NeuroImage Thomas T. Liu, Lawrence R. Frank
2004	J	`jnl`	Erratum to "Efficiency, power, and entropy in event-related FMRI with multiple trial types: Part I: theory" [NeuroImage 21 (2004) 387-400]. NeuroImage Thomas T. Liu, Lawrence R. Frank
2002	J	`jnl`	Analysis and Design of Perfusion-Based Event-Related fMRI Experiments. NeuroImage Thomas T. Liu, Eric C. Wong, Lawrence R. Frank, Richard B. Buxton
2002	J	`jnl`	Error Rate and Outcome Predictability Affect Neural Activation in Prefrontal Cortex and Anterior Cingulate during Decision-Making. NeuroImage Martin P. Paulus, Nikki H. Stricker, Lawrence R. Frank, Gregory G. Brown
2002	J	`jnl`	Functional MRI of Global and Local Processing in Children. NeuroImage Pamela Moses, Katherine Roe, Richard B. Buxton, Eric C. Wong, Lawrence R. Frank, Joan Stiles

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.