T. Hoang Ngan Le

53 papers A* 1A 1B 9Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Emerging LLM/LMM Applications in Medical Imaging - First International Workshop, ELAMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings ELAMI@MICCAI Hien Van Nguyen, Akash Awasthi, Vishal M. Patel, T. Hoang Ngan Le, Yuyin Zhou, Sheng Liu, S. Kevin Zhou
2023	J	`jnl`	HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos. CoRR Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, T. Hoang Ngan Le, Khoa Luu
2021	J	`jnl`	Deep reinforcement learning in medical imaging: A literature review. CoRR S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache
2021	J	`jnl`	Deep reinforcement learning in medical imaging: A literature review. Medical Image Anal. S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache
2021	J	`jnl`	Invertible Residual Network with Regularization for Effective Medical Image Segmentation. CoRR Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le
2021	B	`conf`	Invertible residual network with regularization for effective volumetric segmentation. Image Processing Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le
2021	—	`conf`	Roughness Index and Roughness Distance for Benchmarking Medical Segmentation. BIOIMAGING Vidhiwar Singh Rathour, Kashu Yamazaki, T. Hoang Ngan Le
2021	J	`jnl`	Roughness Index and Roughness Distance for Benchmarking Medical Segmentation. CoRR Vidhiwar Singh Rathour, Kashu Yamazaki, T. Hoang Ngan Le
2020	B	`conf`	Offset Curves Loss for Imbalanced Problem in Medical Segmentation. ICPR Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides
2020	J	`jnl`	Offset Curves Loss for Imbalanced Problem in Medical Segmentation. CoRR Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides
2019	J	`jnl`	Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. Int. J. Comput. Vis. Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides, Tien D. Bui
2018	—	`—`	Contextual Recurrent Level Set Networks and Recurrent Residual Networks for Semantic Labeling. T. Hoang Ngan Le
2018	—	`conf`	Deep Recurrent Level Set for Segmenting Brain Tumors. MICCAI (3) T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides
2018	J	`jnl`	Deep Recurrent Level Set for Segmenting Brain Tumors. CoRR T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides
2018	J	`jnl`	Deep contextual recurrent residual networks for scene labeling. Pattern Recognit. T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides
2018	J	`jnl`	Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. IEEE Trans. Image Process. T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Chi Nhan Duong, Marios Savvides
2017	—	`conf`	An automatic cells detection and segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging Ligong Han, T. Hoang Ngan Le, Marios Savvides
2017	J	`jnl`	Deep Contextual Recurrent Residual Networks for Scene Labeling. CoRR T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal
2017	J	`jnl`	DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW). Pattern Recognit. T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2017	J	`jnl`	Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. CoRR Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2017	J	`jnl`	Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. CoRR T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Marios Savvides, Chenchen Zhu
2017	—	`conf`	Robust Hand Detection and Classification in Vehicles and in the Wild. CVPR Workshops T. Hoang Ngan Le, Kha Gia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides
2017	J	`jnl`	Semi self-training beard/moustache detection and segmentation simultaneously. Image Vis. Comput. T. Hoang Ngan Le, Khoa Luu, Chenchen Zhu, Marios Savvides
2017	J	`jnl`	Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition. CoRR Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2017	A*	`conf`	Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition. ICCV Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2016	J	`jnl`	A novel Shape Constrained Feature-based Active Contour model for lips/mouth segmentation in the wild. Pattern Recognit. T. Hoang Ngan Le, Marios Savvides
2016	—	`conf`	Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection. CVPR Workshops T. Hoang Ngan Le, Yutong Zheng, Chenchen Zhu, Khoa Luu, Marios Savvides
2016	B	`conf`	Robust hand detection in Vehicles. ICPR T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2016	J	`jnl`	Towards a Deep Learning Framework for Unconstrained Face Detection. CoRR Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
2016	—	`conf`	Towards a deep learning framework for unconstrained face detection. BTAS Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
2016	—	`conf`	Weakly Supervised Facial Analysis with Dense Hyper-Column Features. CVPR Workshops Chenchen Zhu, Yutong Zheng, Khoa Luu, T. Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides
2015	B	`conf`	A robust contour sampling and tensor-based approach to facial beard and mustache shape segmentation and matching. ICIP Karanhaar Singh, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2015	J	`jnl`	Facial aging and asymmetry decomposition based approaches to identification of twins. Pattern Recognit. T. Hoang Ngan Le, Keshav Seshadri, Khoa Luu, Marios Savvides
2015	—	`conf`	Fast and robust self-training beard/moustache detection and segmentation. ICB T. Hoang Ngan Le, Khoa Luu, Marios Savvides
2015	B	`conf`	Hierarchical segmentation and tracking of coronary arteries in 2D X-ray Angiography sequences. ICIP Faten M'hiri, T. Hoang Ngan Le, Luc Duong, Christian Desrosiers, Mohamed Cheriet
2014	B	`conf`	A novel eyebrow segmentation and eyebrow shape-based identification. IJCB T. Hoang Ngan Le, Utsav Prabhu, Marios Savvides
2014	—	`conf`	An Effective Initialization for ASM-Based Methods. CISIM Hong-Quan Hua, T. Hoang Ngan Le, Bac Le
2013	J	`jnl`	SparCLeS: Dynamic 퓁 IEEE Trans. Image Process. T. Hoang Ngan Le, Khoa Luu, Marios Savvides
2012	—	`conf`	A facial aging approach to identification of identical twins. BTAS T. Hoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides
2012	—	`conf`	A new adaptive framework for tubular structures segmentation in X-ray angiography. ISSPA Faten M'hiri, T. Hoang Ngan Le, Luc Duong, Mohamed Cheriet
2012	B	`conf`	A novel energy based filter for cross-blink eye detection. ICIP T. Hoang Ngan Le, Khoa Luu, Utsav Prabhu, Marios Savvides
2012	B	`conf`	Beard and mustache segmentation using sparse classifiers on self-quotient images. ICIP T. Hoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides
2012	B	`conf`	Facecut - a robust approach for facial feature segmentation. ICIP Khoa Luu, T. Hoang Ngan Le, Keshav Seshadri, Marios Savvides
2011	J	`jnl`	A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images. Digit. Signal Process. T. Hoang Ngan Le, Chia-Chen Lin, Chin-Chen Chang, Hoai Bac Le
2011	A	`conf`	Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators. ICDAR T. Hoang Ngan Le, Tien D. Bui, Ching Y. Suen
2010	—	`conf`	A robust biometric watermark-based authentication scheme. ICDIM T. Hoang Ngan Le, Kim Hung Nguyen, Hoai Bac Le
2010	J	`jnl`	High payload steganography mechanism using hybrid edge detector. Expert Syst. Appl. Wen-Jan Chen, Chin-Chen Chang, T. Hoang Ngan Le
2010	J	`jnl`	Hybrid wet paper coding mechanism for steganography employing n-indicator and fuzzy edge detector. Digit. Signal Process. Chin-Chen Chang, Jung-San Lee, T. Hoang Ngan Le
2009	—	`conf`	Hybrid (2, n) Visual Secret Sharing Scheme for Color Images. RIVF Jung-San Lee, T. Hoang Ngan Le
2009	J	`jnl`	Self-verifying visual secret sharing using error diffusion and interpolation techniques. IEEE Trans. Inf. Forensics Secur. Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le
2009	J	`jnl`	Sharing a verifiable secret image using two shadows. Pattern Recognit. Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le
2008	—	`conf`	A New Probabilistic Visual Secret Sharing Scheme for Color Images. IIH-MSP Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le
2008	—	`conf`	A Probabilistic Visual Secret Sharing Scheme for Grayscale Images with Voting Strategy. ISECS Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le

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.