| Medical augmentation (med-aug) for optimal data augmentation in medical deep learning networks J Lo, J Cardinell, A Costanzo, D Sussman Sensors 21 (21), 7018, 2021 | 13 | 2021 |
| Cross attention squeeze excitation network (CASE-Net) for whole body fetal MRI segmentation J Lo, S Nithiyanantham, J Cardinell, D Young, S Cho, A Kirubarajan, ... Sensors 21 (13), 4490, 2021 | 9 | 2021 |
| Motion artifact correction in fetal MRI based on a Generative Adversarial network method A Lim, J Lo, MW Wagner, B Ertl-Wagner, D Sussman Biomedical Signal Processing and Control 81, 104484, 2023 | 7 | 2023 |
| Fetal organ anomaly classification network for identifying organ anomalies in fetal MRI J Lo, A Lim, MW Wagner, B Ertl-Wagner, D Sussman Frontiers in Artificial Intelligence 5, 832485, 2022 | 6 | 2022 |
| Automatic Artifact Detection Algorithm in Fetal MRI A Lim, J Lo, MW Wagner, B Ertl-Wagner, D Sussman Frontiers in Artificial Intelligence, 131, 0 | 3 | |
| Fetal Organ Anomaly Identification, Segmentation, and Optimized Data Augmentation J Lo Toronto Metropolitan University, 0 | | |
