Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Discriminative model and Artificial intelligence, with related work in Malignancy, Convolutional neural network, Deep learning. Notable publications include 'Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM', 'Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR', and 'Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma'.
Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma
Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM
Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR
Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma
Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma