Indah Soesanti

Affiliation

Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Topic

Deep Learning,Convolutional Neural Network,Convolutional Layers,Magnetic Resonance Imaging,Medical Imaging,Support Vector Machine,Deep Learning Models,F1 Score,Object Detection,Transfer Learning,Computer-aided Diagnosis,Confusion Matrix,Convolutional Neural Network Model,Data Augmentation,Deep Convolutional Neural Network,Facial Expressions,Feature Maps,Magnetic Resonance Imaging Images,Pooling Layer,Systematic Review,Training Data,Brain Tumor Classification,COVID-19 Detection,Computed Tomography,Diagnosis Of Brain Tumors,Gradient Boosting,Hyperparameter Tuning,Image Retrieval,Learning Algorithms,Lung Cancer,Machine Learning,Max-pooling,Medical Image Analysis,Meningioma,Precision And Recall,Public Datasets,Random Forest,3D Space,Ability Of The Model,AdaBoost,AlexNet,Area Under Curve,Autism Severity,Brain Tumor Segmentation,Cancer Screening,Cardiac Imaging,Cardiovascular Magnetic Resonance,Chest X-ray,City Block,Classification Results,

Biography

Indah Soesanti received the M.Eng. and Ph.D. degrees from the Department of Electrical Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia.
She is currently a Lecturer with the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada. Her research interests include artificial intelligence, optimization, signal processing, image processing, information systems, ICT-based systems, biomedical engineering, and pattern classification.