Advances in Deep Generative Models for Medical Artificial Intelligence

Deep Learning Techniques for 3D-Volumetric Segmentation of Biomedical Images.- Analysis of GAN-based Data Augmentation for GI-Tract Disease Classification.- Deep generative adversarial network-based MRI slices reconstruction and enhancement for Alzheimer’s stages classification.- Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery.- Deep Learning Approaches for End-to-End Modeling of Medical Spatiotemporal Data.- Skin Cancer Classification with Convolutional Deep Neural Networks and Vision Transformers using Transfer Learning.- A New CNN-Based Deep Learning Model Approach for Skin Cancer Detection and Classification.- Machine Learning Based Miscellaneous Objects Detection With Application to Cancer Images.- Advanced deep learning for heart sounds classification.