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Hanung Adi Nugroho
Also published under:Hanung A. Nugroho, H. A. Nugroho, Handoyo Widi Nugroho, Hanung Adhi Nugroho, H. Nugroho
Affiliation
Dept. of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
Topic
Convolutional Neural Network,Deep Learning,Support Vector Machine,Convolutional Layers,F1 Score,Learning Algorithms,Ultrasound Imaging,Confusion Matrix,Convolutional Neural Network Architecture,Convolutional Neural Network Model,Data Augmentation,Image Quality,Input Image,Machine Learning,Neural Network,Precision And Recall,Random Forest,Decision Tree,Face Detection,Face Images,Facial Features,Feature Maps,Gradient Boosting,Image Noise,Learning Rate,Medical Imaging,Training Data,Transfer Learning,Computed Tomography,Cup-to-disc Ratio,Deep Neural Network,Dice Score,Face Recognition,Feature Extraction Methods,Fetal Head,Fundus Images,Image Retrieval,Intersection Over Union,Magnetic Resonance Imaging,Optic Cup,Optic Nerve Head,Peak Signal-to-noise Ratio,Performance Metrics,Reduce Speckle Noise,Speckle Noise,Validation Accuracy,Vision Transformer,3D Space,Accuracy Enhancement,AdaBoost,
Biography
Hanung Adi Nugroho (Senior Member, IEEE) received the bachelor’s degree in electrical engineering from Universitas Gadjah Mada, Indonesia, in 2001, the M.Eng. degree in biomedical engineering from The University of Queensland, Australia, in 2005, and the Ph.D. degree in electrical engineering from Universiti Teknologi PETRONAS, Malaysia, in 2012. He is currently a Professor with the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada. His current research interests include biomedical signal and image processing and analysis, computer vision, medical instrumentation, and pattern recognition.