Research Assistant (Biomedical Imaging Data Labeler)
OtherImageClassification
I labeled and preprocessed over 10,000 medical images and biosignals for deep learning research in biomedical engineering. The labeling process included converting biosignal data (such as ECG) into image format for vision-based model training and supporting the development of deep learning classification models. I also generated synthetic data using GANs to augment the dataset and improve model performance.
• Labeled medical images and biosignal data for AI-based disease classification.
• Preprocessed raw data and converted biosignals to image format to train vision models.
• Generated synthetic image data with GANs for dataset augmentation.
• Ensured consistency and accuracy to support biomedical AI research.
I labeled and preprocessed over 10,000 medical images and biosignals for deep learning research in biomedical engineering. The labeling process included converting biosignal data (such as ECG) into image format for vision-based model training and supporting the development of deep learning classification models. I also generated synthetic data using GANs to augment the dataset and improve model performance. • Labeled medical images and biosignal data for AI-based disease classification. • Preprocessed raw data and converted biosignals to image format to train vision models. • Generated synthetic image data with GANs for dataset augmentation. • Ensured consistency and accuracy to support biomedical AI research.
2024 - Present