Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. - Wanwei Jian; Hanqiu Ju; Xiaoping Cen; Manman Cui; Honglai Zhang; Lijuan Zhang; Guangyi Wang; Lin Gu 003; Wu Zhou 002 (EMBC, 2019)

Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. - Hanqiu Ju; Guangyi Wang; Shaoyang Men; Honglai Zhang; Lin Gu 003; Wu Zhou 002 (ICIP, 2019)

Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM. - Shaoyang Men; Hanqiu Ju; Lijuan Zhang; Wu Zhou 002 (ISBI, 2019)

Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma. - Hanqiu Ju; Wanwei Jian; Xiaoping Cen; Guangyi Wang; Wu Zhou 002 (MICCAI (4), 2019)

Multidimensional fractal scaling analysis using higher order moving average polynomials and its fast algorithm. - Hanqiu Ju; Honda Naoki; Shige H. Yoshimura; Miki Kaneko; Taiki Shigematsu; Ken Kiyono (Signal Process., 2023)

Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. - Yunling Li; Shangxuan Li; Hanqiu Ju; Tatsuya Harada; Honglai Zhang; Ting Duan; Guangyi Wang; Lijuan Zhang; Lin Gu 003; Wu Zhou 002 (Pattern Recognit., 2023)