| Using deep neural networks for radiogenomic analysis NF Smedley, W Hsu 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 20 | 2018 |
| Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer NF Smedley, DR Aberle, W Hsu Journal of Medical Imaging 8 (3), 031906-031906, 2021 | 16 | 2021 |
| Longitudinal patterns in clinical and imaging measurements predict residual survival in glioblastoma patients NF Smedley, BM Ellingson, TF Cloughesy, W Hsu Scientific reports 8 (1), 14429, 2018 | 13 | 2018 |
| Discovering and interpreting transcriptomic drivers of imaging traits using neural networks NF Smedley, S El-Saden, W Hsu Bioinformatics 36 (11), 3537-3548, 2020 | 7 | 2020 |
| Identifying transcription patterns of histology and radiomics features in NSCLC with neural networks NF Smedley, DR Aberle, W Hsu Preprint, bioRxiv https://doi.org/10.1101/2020.07.22.21555, 2020 | 2 | 2020 |
| Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies JI Garcia-Gathright, NJ Matiasz, C Adame, KV Sarma, L Sauer, ... Computers in biology and medicine 92, 55-63, 2018 | 2 | 2018 |
| A Platform for Generating and Validating Breast Risk Models from Clinical Data: Towards Patient-Centered Risk Stratified Screening NF Smedley, N Chau, A Petruse, W Hsu American Medical Informatics Associations 2015 Annual Symposium, 2015 | 2 | 2015 |
| Learning Radiogenomic and Longitudinal Patterns to Characterize Disease Trajectory NF Smedley University of California, Los Angeles, 2019 | 1 | 2019 |
