Ehsan Khodapanah Aghdam

26 papers A 2Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes. CoRR Nick DiSanto, Ehsan Khodapanah Aghdam, Han Liu, Jacob Watson, Yuankai K. Tao, Hao Li, Ipek Oguz
2025	J	`jnl`	A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation. CoRR Moein Heidari, Ehsan Khodapanah Aghdam, Alexander Manzella, Daniel Hsu, Rebecca Scalabrino, Wenjin Chen, David J. Foran, Ilker Hacihaliloglu
2025	J	`jnl`	Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency. CoRR Hao Li, Daiwei Lu, Jesse F. d'Almeida, Dilara Isik, Ehsan Khodapanah Aghdam, Nick DiSanto, Ayberk Acar, Susheela Sharma, Jie Ying Wu, Robert J. Webster III, Ipek Oguz
2025	J	`jnl`	TransCeption: Enhancing Medical Image Segmentation with an Inception-Like Transformer Design for Efficient Feature Fusion. Comput. Vis. Media Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof
2024	J	`jnl`	Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Anal. Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof
2024	A	`conf`	Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. WACV Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
2024	J	`jnl`	Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights. CoRR Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, René Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof
2024	J	`jnl`	Medical Image Segmentation Review: The Success of U-Net. IEEE Trans. Pattern Anal. Mach. Intell. Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof
2023	J	`jnl`	Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. CoRR Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof
2023	—	`conf`	Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. ISBI Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof
2023	J	`jnl`	Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. CoRR Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
2023	—	`conf`	DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation. PRIME@MICCAI Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof
2023	J	`jnl`	Diffusion models in medical imaging: A comprehensive survey. Medical Image Anal. Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
2023	J	`jnl`	Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach. CoRR Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof
2023	A	`conf`	HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. WACV Moein Heidari, Amirhossein Kazerouni, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof
2023	—	`conf`	Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. MICCAI (3) Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
2023	J	`jnl`	Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. CoRR Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
2023	—	`conf`	Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers. MLMI@MICCAI (1) Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof
2023	J	`jnl`	Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers. CoRR Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof
2022	J	`jnl`	Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. CoRR Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof
2022	J	`jnl`	DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation. CoRR Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof
2022	J	`jnl`	Diffusion Models for Medical Image Analysis: A Comprehensive Survey. CoRR Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
2022	J	`jnl`	HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. CoRR Moein Heidari, Amirhossein Kazerouni, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof
2022	J	`jnl`	Medical Image Segmentation Review: The success of U-Net. CoRR Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof
2022	—	`conf`	TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation. PRIME@MICCAI Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof
2022	J	`jnl`	TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation. CoRR Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof

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.