Aaron Kujawa - RankMe

20 papers Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RANO2.0-assist: A 3D Slicer Extension for (semi-)automatic Assessment of Response to Glioma Treatment. J. Open Source Softw. Aaron Kujawa, Tangqi Shi, Thomas C. Booth, Tom Vercauteren
2025	J	`jnl`	A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans. CoRR Lorena Garcia-Foncillas Macias, Aaron Kujawa, Aya Elshalakany, Jonathan Shapey, Tom Vercauteren
2025	—	`conf`	Beyond One-Hot Encoding? Journey Into Compact Encoding for Large Multi-Class Segmentation. EMA4MICCAI Aaron Kujawa, Thomas C. Booth, Tom Vercauteren
2025	J	`jnl`	Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation. CoRR Aaron Kujawa, Thomas C. Booth, Tom Vercauteren
2025	J	`jnl`	Label tree semantic losses for rich multi-class medical image segmentation. CoRR Junwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren
2025	J	`jnl`	Longitudinal Vestibular Schwannoma Dataset with Consensus-based Human-in-the-loop Annotations. CoRR Navodini Wijethilake, Marina Ivory, Oscar MacCormac, Siddhant Kumar, Aaron Kujawa, Lorena Garcia-Foncillas Macias, Rebecca Burger, Amanda Hitchings, Suki Thomson, Sinan Barazi, Eleni Maratos, Rupert Obholzer, Dan Jiang, Fiona McClenaghan, Kazumi Chia, Omar Al-Salihi, Nick Thomas, Steve Connor, Tom Vercauteren, Jonathan Shapey
2025	—	`conf`	Tree-Based Semantic Losses: Application to Sparsely-Supervised Large Multi-class Hyperspectral Segmentation. MICCAI (8) Junwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren
2025	J	`jnl`	Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation. CoRR Junwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren
2025	J	`jnl`	crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. CoRR Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria G. Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Ji-Wung Han, Li Zhang, Jonathan Shapey, Tom Vercauteren
2024	J	`jnl`	Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. Frontiers Comput. Neurosci. Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Navodini Wijethilake, Robert Bradford, Neil Kitchen, Sotirios Bisdas, Sébastien Ourselin, Tom Vercauteren, Jonathan Shapey
2024	—	`conf`	Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation. MICCAI (9) Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren
2024	J	`jnl`	Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation. CoRR Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren
2023	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
2023	J	`jnl`	MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.
2022	—	`conf`	Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. MLCN@MICCAI Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
2022	J	`jnl`	Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. CoRR Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
2022	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
2021	—	`conf`	Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. MICCAI (2) Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2021	J	`jnl`	Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2015	J	`jnl`	Partial volume correction for in vivo NeuroImage Sebastian C. Niesporek, Stefan H. Hoffmann, Moritz C. Berger, Nadia Benkhedah, Aaron Kujawa, Peter Bachert, Armin M. Nagel

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.