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Mastering MIMO (MImicking anyone anywhere with complex Motions and Object interactions)
Published: at 09:05 AMLearn how to implement MIMO, a cutting-edge AI model from Alibaba, to transform character appearance and motion in videos using 3D poses, video inpainting, and advanced deep learning techniques.
Segmentation and Generation of Magnetic Resonance Images by Deep Neural Networks
Published: at 05:22 PMThis paper presents my master's thesis, completed at the University of Queensland, where I explore advanced techniques in medical imaging using deep learning. The research focuses on the application of neural networks for precise MRI segmentation and image synthesis, aiming to enhance diagnostic accuracy and efficiency.
Synthetic Magnetic Resonance Images with Generative Adversarial Networks
Published: at 05:22 PMThis conference paper, that I presented at the University of Queensland, explores the use of GANs for generating synthetic MRI images, offering new approaches to improve medical imaging and data augmentation for deep learning models.
Cyber Attack Detection thanks to Machine Learning Algorithms
Published: at 07:09 PMThis report examines how machine learning can enhance cybersecurity by detecting malicious network traffic. Co-authored by Sheryl Hermoso, Kristofer Anandita, and myself, the paper analyzes various algorithms and highlights the effectiveness of Random Forest in identifying botnets, offering insights for improving detection strategies.
Recent Projects
Generation of Magnetic Resonance Images by Deep Neural Networks
Published: at 05:22 PMThis project explores the use of GANs for generating synthetic MRI images, offering new approaches to improve medical imaging and data augmentation for deep learning models.
Segmentation of Magnetic Resonance Images by Deep Neural Networks
Published: at 05:22 PMThis project focuses on the application of neural networks for precise MRI segmentation, aiming to enhance diagnostic accuracy and efficiency.
Cyber Attack Detection thanks to Machine Learning Algorithms
Published: at 07:09 PMThis projects examines how machine learning can enhance cybersecurity by detecting malicious network traffic. We analyzed various algorithms and highlights the effectiveness of Random Forest in identifying botnets, offering insights for improving detection strategies.