| Applications of generative adversarial networks in neuroimaging and clinical neuroscience R Wang, V Bashyam, Z Yang, F Yu, V Tassopoulou, SS Chintapalli, ... Neuroimage 269, 119898, 2023 | 55 | 2023 |
| Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach J Guo, A Fathi Kazerooni, E Toorens, H Akbari, F Yu, C Sako, ... Scientific Reports 14 (1), 4922, 2024 | 9 | 2024 |
| Deep Kernel Learning with Temporal Gaussian Processes for Clinical Variable Prediction in Alzheimer’s Disease V Tassopoulou, F Yu, C Davatzikos Machine Learning for Health, 539-551, 2022 | 2 | 2022 |
| CDPNet: a radiomic feature learning method with epigenetic application to estimating MGMT promoter methylation status in glioblastoma J Guo, F Yu, MP Nasrallah, C Davatzikos Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 631-634, 2024 | 1 | 2024 |
| Investigating Causality Between Genotype And Clinical Phenotype In Neurological Disorders Using Structural Causal Model and Normalizing Flow F Yu, R Wang, P Chaudhari, C Davatzikos Deep Generative Models for Health Workshop NeurIPS 2023, 2023 | 1 | 2023 |
| An information theoretical framework for machine learning based MR image reconstruction Y Li, Y Guan, Z Meng, F Yu, R Guo, Y Zhao, T Wang, Y Li, ZP Liang Proceedings of the 28th Annual ISMRM Virtual Meeting & Exhibition, 3858, 2020 | 1 | 2020 |
| Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples SS Chintapalli, R Wang, Z Yang, V Tassopoulou, F Yu, V Bashyam, ... Scientific Data 11 (1), 1-10, 2024 | | 2024 |
| NIMG-60. SUBTYPING GLIOBLASTOMA FROM JOINT CLUSTERING OF IMAGING AND GENOMIC DATA J Guo, A Fathi-Kazerooni, E Toorens, H Akbari, F Yu, Y Matsumoto, ... Neuro-Oncology 26 (Supplement_8), viii209-viii209, 2024 | | 2024 |
| NeuroSynth: MRI-Derived Neuroanatomical Generative Models and Associated Dataset of 18,000 Samples S Spandana Chintapalli, R Wang, Z Yang, V Tassopoulou, F Yu, ... arXiv e-prints, arXiv: 2407.12897, 2024 | | 2024 |
| Investigating causal genetic effects on overall survival of glioblastoma patients using normalizing flow and structural causal model F Yu, R Wang, P Chaudhari, C Davatzikos Proceedings of SPIE--the International Society for Optical Engineering 12927, 2024 | | 2024 |
| NIMG-39. BENCHMARKING MULTI-LABEL PREDICTION OF TARGET GENE MUTATION STATUS IN GLIOBLASTOMA USING RADIOGENOMICS AND MULTI-PARAMETRIC MR IMAGING F Yu, J Guo, AF Kazerooni, H Akbari, E Toorens, C Sako, E Mamourian, ... Neuro-Oncology 25 (Supplement_5), v194-v194, 2023 | | 2023 |
| NIMG-66. RADIOGENOMICS-BASED HETEROGENEITY ANALYSIS OF GLIOBLASTOMA REVEALS MR IMAGING PHENOTYPICAL CHARACTERIZATION OF EGFR MUTATIONS F Yu, J Guo, AF Kazerooni, H Akbari, E Toorens, C Sako, E Mamourian, ... Neuro-Oncology 25 (Supplement_5), v201-v201, 2023 | | 2023 |
| NIMG-22. AN AI-BASED COORDINATE SYSTEM ELUCIDATES RADIOGENOMIC HETEROGENEITY OF GLIOBLASTOMA VIA DEEP LEARNING AND MANIFOLD EMBEDDINGS F Yu, AF Kazerooni, E Toorens, H Akbari, C Sako, E Mamourian, S Bagley, ... Neuro-Oncology 24 (Supplement_7), vii166-vii166, 2022 | | 2022 |
| A Radiogenomics-based Coordinate System to Quantify the Heterogeneity of Glioblastoma F Yu, AF Kazerooni, P Chaudhari, C Davatzikos Medical Imaging meets NeurIPS (Med-NeurIPS) Workshop 2022, 2022 | | 2022 |
| High sensitivity SLIM imaging to correlate sperm morphology and fertility outcomes (Conference Presentation) ME Kandel, M Rubessa, S Meyers, MJ Szwczyk, F Yu, MB Wheeler, ... Quantitative Phase Imaging V 10887, 108871B, 2019 | | 2019 |
| A Radiogenomics-based Coordinate System to Quantify the Heterogeneity of Glioblastoma F Yu, AF Kazerooni, P Chaudhari, C Davatzikos | | |
| Rapid Dynamic Deuterium MR Spectroscopic Imaging Using Deep-SPICE Y Li, Y Zhao, R Guo, F Yu, XH Zhu, W Chen, ZP Liang | | |
| Accelerated T2 Mapping by Integrating Two-Stage Learning with Sparse Modeling Z Meng, Y Li, R Guo, Y Zhao, T Wang, F Yu, B Sutton, Y Li, ZP Liang | | |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIpennmedicine.upenn.edu의 이메일 확인됨