Weak inversion charge injection in analog MOS switches. - Ming-Jer Chen; Yen-Bin Gu; Terry Wu; Po-Chin Hsu; Tsung-Hann Liu (IEEE J. Solid State Circuits, 1995)

Dependence of current match on back-gate bias in weakly inverted MOS transistors and its modeling. - Ming-Jer Chen; Jih-Shin Ho; Tzuen-Hsi Huang (IEEE J. Solid State Circuits, 1996)

A three-parameters-only MOSFET subthreshold current CAD model considering back-gate bias and process variation. - Ming-Jer Chen; Jib-Shin Ho (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1997)

Modeling well edge proximity effect on highly-scaled MOSFETs. - Yi-Ming Sheu; Ke-Wei Su; Sheng-Jier Yang; Hsien-Te Chen; Chih-Chiang Wang 003; Ming-Jer Chen; S. Liu (CICC, 2005)

Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging. - Shih-Tien Hsu; Yu-Jie Su; Chian-Huei Hung; Ming-Jer Chen; Chien-Hsing Lu; Chih-En Kuo (BMC Medical Informatics Decis. Mak., 2022)

EM-Assisted Quantization of Absolute Cleavage Timing and Symmetry for Blastomere. - Huai-Wen Chang; Rong-Yu Wu; Ting-Yuan Wang; Ming-Jer Chen; Yu-Chiao Yi; Jung-Hua Wang (HealthCom, 2024)

Progressive Ensemble Learning for in-Sample Data Cleaning. - Jung-Hua Wang; Shih-Kai Lee; Ting-Yuan Wang; Ming-Jer Chen; Shu-Wei Hsu (IEEE Access, 2024)

EM-aided Federated Learning for Quality Assessment of Embryo Development. - Jung-Hua Wang; Chang-Hong Wu; Ming-Jer Chen; Yu-Chiao Yi; Huai-Wen Chang; Rong-Yu Wu (COINS, 2025)

Data cleaning for classification tasks based on iterative ensemble learning. - Jung-Hua Wang; Shih-Kai Lee; Ting-Yuan Wang; Ming-Jer Chen; Shu-Wei Hsu (J. Ambient Intell. Humaniz. Comput., 2025)