Benjamin C. Wagner

18 papers Journal 4Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling. CVPR Workshops Divya D. Reddy, Niloufar Saadat, James M. Holcomb, Benjamin C. Wagner, Nghi C. Truong, Jason Bowerman, Kimmo J. Hatanpaa, Toral R. Patel, Marco C. Pinho, Ananth J. Madhuranthakam, Chandan Ganesh Bangalore Yogananda, Joseph A. Maldjian
2021	—	`conf`	Disparity Autoencoders for Multi-class Brain Tumor Segmentation. BrainLes@MICCAI (2) Chandan Ganesh Bangalore Yogananda, Yudhajit Das, Benjamin C. Wagner, Sahil S. Nalawade, Divya D. Reddy, James M. Holcomb, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2021	—	`conf`	Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. BrainLes@MICCAI (2) Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Divya D. Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2021	J	`jnl`	MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. NeuroImage Alex Treacher, Prabhat Garg, Elizabeth M. Davenport, Ryan Godwin, Amy L. Proskovec, Leonardo Guimaraes Bezerra, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2020	J	`jnl`	BrainNET: Inference of Brain Network Topology Using Machine Learning. Brain Connect. Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian
2020	—	`conf`	Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2019	—	`conf`	A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. ISBI Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Gowtham Krishnan Murugesan, Ananth J. Madhuranthakam, Joseph A. Maldjian
2019	—	`conf`	Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. BrainLes@MICCAI (2) Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Sahil S. Nalawade, Gowtham Krishnan Murugesan, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2019	—	`conf`	Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (2) Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2018	—	`conf`	Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks. Computer-Aided Diagnosis Behrouz Saghafi, Gowtham Murugesan, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Alexander Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
2018	—	`conf`	Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players. Computer-Aided Diagnosis Gowtham Krishnan Murugesan, Behrouz Saghafi, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alex Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
2017	—	`conf`	Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography. PRNI Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2017	—	`conf`	Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy. ISBI Afarin Famili, Gowtham Krishnan Murugesan, Elizabeth M. Davenport, James Germi, Benjamin C. Wagner, Bradley Lega, Albert Montillo
2017	—	`conf`	Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. ISBI Gowtham Murugesan, Afarin Famili, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
2017	—	`conf`	Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. DLMIA/ML-CDS@MICCAI Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo
2017	—	`conf`	Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. MICCAI (3) Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2011	J	`jnl`	High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization. Frontiers Neuroinformatics Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland

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.