| Targeting cancer-specific glycans by cyclic peptide lectinomimics MC Rodriguez, AB Yongye, M Cudic, K Martinez Mayorga, E Liu, ... Amino Acids 49, 1867-1883, 2017 | 13 | 2017 |
| A flexible testing environment for visual question answering with performance evaluation M Cudic, R Burt, E Santana, JC Principe Neurocomputing 291, 128-135, 2018 | 12 | 2018 |
| Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons M Cudic, JS Diamond, JA Noble Medical Image Analysis 86, 102768, 2023 | 5 | 2023 |
| Prediction of sorghum bicolor genotype from in-situ images using autoencoder-identified SNPs M Cudic, H Baweja, T Parhar, ST Nuske 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 5 | 2018 |
| Fusing attention with visual question answering R Burt, M Cudic, JC Principe 2017 International Joint Conference on Neural Networks (IJCNN), 949-953, 2017 | 3 | 2017 |
| Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification M Cudic, JC Principe 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 1 | 2019 |
| Neuron Segmentation from Noisy Fluorescence Microscopy Images Using Deep Learning with Local and Global Scale Fusion M Cudic, JS Diamond, JA Noble Fluorescence Imaging of the Brain, 59-81, 2024 | | 2024 |
| Targeting Cancer-Specific Glycans by Cyclic Peptide Lectinomimics MC Rodriguez, A Yongye, M Cudic, J Medina-Franco, M Cudic, P Cudic GLYCOBIOLOGY 25 (11), 1290-1291, 2015 | | 2015 |
