Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Interpretability and Spectrogram, with related work in Artificial intelligence, Mutation, Speech recognition. Notable publications include 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis', 'Richer fusion network for breast cancer classification based on multimodal data', and 'Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning'.
Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning
Richer fusion network for breast cancer classification based on multimodal data
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Neural Information Processing Systems 2018cited by 230position: middle