Leonardo Ayala

20 papers Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis. CoRR Alexander Baumann, Leonardo Ayala, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Berkin Özdemir, Lena Maier-Hein, Slobodan Ilic
2025	J	`jnl`	Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science. Int. J. Comput. Assist. Radiol. Surg. Viet Tran Ba, Marco Hübner, Ahmad Bin Qasim, Maike Rees, Jan Sellner, Silvia Seidlitz, Evangelia Christodoulou, Berkin Özdemir, Alexander Studier-Fischer, Felix Nickel, Leonardo Ayala, Lena Maier-Hein
2024	—	`conf`	Deep Intra-operative Illumination Calibration of Hyperspectral Cameras. MICCAI (6) Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer, Jan Sellner, Berkin Özdemir, Karl-Friedrich Kowalewski, Slobodan Ilic, Silvia Seidlitz, Lena Maier-Hein
2024	J	`jnl`	Deep intra-operative illumination calibration of hyperspectral cameras. CoRR Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer, Jan Sellner, Berkin Özdemir, Karl-Friedrich Kowalewski, Slobodan Ilic, Silvia Seidlitz, Lena Maier-Hein
2024	J	`jnl`	Test-time augmentation with synthetic data addresses distribution shifts in spectral imaging. Int. J. Comput. Assist. Radiol. Surg. Ahmad Bin Qasim, Alessandro Motta, Alexander Studier-Fischer, Jan Sellner, Leonardo Ayala, Marco Hübner, Marc Bressan, Berkin Özdemir, Karl-Friedrich Kowalewski, Felix Nickel, Silvia Seidlitz, Lena Maier-Hein
2023	—	`conf`	Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement. Bildverarbeitung für die Medizin Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein
2023	—	`—`	Translational functional imaging in surgery enabled by deep learning Leonardo Ayala
2023	—	`conf`	Unsupervised Domain Transfer with Conditional Invertible Neural Networks. MICCAI (1) Kris K. Dreher, Leonardo Ayala, Melanie Schellenberg, Marco Hübner, Jan-Hinrich Nölke, Tim J. Adler, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Janek Gröhl, Felix Nickel, Ullrich Köthe, Alexander Seitel, Lena Maier-Hein
2023	J	`jnl`	Unsupervised Domain Transfer with Conditional Invertible Neural Networks. CoRR Kris K. Dreher, Leonardo Ayala, Melanie Schellenberg, Marco Hübner, Jan-Hinrich Nölke, Tim J. Adler, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Janek Gröhl, Felix Nickel, Ullrich Köthe, Alexander Seitel, Lena Maier-Hein
2022	J	`jnl`	C-arm positioning for standard projections during spinal implant placement. Medical Image Anal. Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Eric Mandelka, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein
2022	J	`jnl`	Robust deep learning-based semantic organ segmentation in hyperspectral images. Medical Image Anal. Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier-Fischer, Samuel Knödler, Leonardo Ayala, Tim J. Adler, Hannes Götz Kenngott, Minu Tizabi, Martin Wagner, Felix Nickel, Beat P. Müller-Stich, Lena Maier-Hein
2021	J	`jnl`	Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis. CoRR Maximilian Dietrich, Silvia Seidlitz, Nicholas Schreck, Manuel Wiesenfarth, Patrick Godau, Minu Tizabi, Jan Sellner, Sebastian Marx, Samuel Knödler, Michael M. Allers, Leonardo Ayala, Karsten Schmidt, Thorsten Brenner, Alexander Studier-Fischer, Felix Nickel, Beat P. Müller-Stich, Annette Kopp-Schneider, Markus A. Weigand, Lena Maier-Hein
2021	J	`jnl`	Robust deep learning-based semantic organ segmentation in hyperspectral images. CoRR Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier-Fischer, Samuel Knödler, Leonardo Ayala, Tim Adler, Hannes Götz Kenngott, Minu Tizabi, Martin Wagner, Felix Nickel, Beat P. Müller-Stich, Lena Maier-Hein
2021	J	`jnl`	Video-rate multispectral imaging in laparoscopic surgery: First-in-human application. CoRR Leonardo Ayala, Sebastian J. Wirkert, Anant Vemuri, Tim Adler, Silvia Seidlitz, Sebastian Pirmann, Christina Engels, Dogu Teber, Lena Maier-Hein
2020	J	`jnl`	Light source calibration for multispectral imaging in surgery. Int. J. Comput. Assist. Radiol. Surg. Leonardo Ayala, Silvia Seidlitz, Anant Vemuri, Sebastian J. Wirkert, Thomas Kirchner, Tim J. Adler, Christina Engels, Dogu Teber, Lena Maier-Hein
2019	—	`conf`	Abstract: Multispectral Imaging Enables Visualization of Spreading Depolarizations in Gyrencephalic Brain. Bildverarbeitung für die Medizin Leonardo Ayala, Sebastian J. Wirkert, Mildred A. Herrera, Adrián Hernández-Aguilera, Anant Suraj Vemuri, Edgar Santos, Lena Maier-Hein
2019	—	`conf`	Out of Distribution Detection for Intra-operative Functional Imaging. UNSURE/CLIP@MICCAI Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2019	J	`jnl`	Out of distribution detection for intra-operative functional imaging. CoRR Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2019	J	`jnl`	Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. Int. J. Comput. Assist. Radiol. Surg. Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2019	J	`jnl`	Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. CoRR Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

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.