| Effect of heartfulness meditation on burnout, emotional wellness, and telomere length in health care professionals J Thimmapuram, R Pargament, K Sibliss, R Grim, R Risques, E Toorens Journal of community hospital internal medicine perspectives 7 (1), 21-27, 2017 | 115 | 2017 |
| Enhanced Sensitivity for Detection of Low‐Level Germline Mosaic RB1 Mutations in Sporadic Retinoblastoma Cases Using Deep Semiconductor Sequencing Z Chen, K Moran, J Richards‐Yutz, E Toorens, D Gerhart, T Ganguly, ... Human mutation 35 (3), 384-391, 2014 | 100 | 2014 |
| A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression NF Lahens, E Ricciotti, O Smirnova, E Toorens, EJ Kim, G Baruzzo, ... BMC genomics 18, 1-13, 2017 | 96 | 2017 |
| Improved methods to generate spheroid cultures from tumor cells, tumor cells & fibroblasts or tumor-fragments: microenvironment, microvesicles and MiRNA Z Lao, CJ Kelly, XY Yang, WT Jenkins, E Toorens, T Ganguly, SM Evans, ... PloS one 10 (7), e0133895, 2015 | 44 | 2015 |
| Molecular diagnosis of somatic overgrowth conditions: A single‐center experience E Lalonde, J Ebrahimzadeh, K Rafferty, J Richards‐Yutz, R Grant, ... Molecular Genetics & Genomic Medicine 7 (3), e536, 2019 | 34 | 2019 |
| Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma A Fathi Kazerooni, S Saxena, E Toorens, D Tu, V Bashyam, H Akbari, ... Scientific Reports 12 (1), 8784, 2022 | 27 | 2022 |
| Adenomyoepitheliomas of the breast frequently harbor recurrent hotspot mutations in PIK3-AKT pathway-related genes and a subset show genetic similarity to salivary gland … D Lubin, E Toorens, PJ Zhang, S Jaffer, E Baraban, IJ Bleiweiss, A Nayak The American Journal of Surgical Pathology 43 (7), 1005-1013, 2019 | 25 | 2019 |
| Acquired cystic kidney disease–associated renal cell carcinoma (ACKD-RCC) harbor recurrent mutations in KMT2C and TSC2 genes A Shah, P Lal, E Toorens, MB Palmer, L Schwartz, N Vergara, T Guzzo, ... The American Journal of Surgical Pathology 44 (11), 1479-1486, 2020 | 22 | 2020 |
| NIMG-73. Capturing glioblastoma heterogeneity using imaging and deep learning: Application to MGMT promoter methylation S Saxena, AF Kazerooni, E Toorens, S Bakas, H Akbari, C Sako, ... Neuro-Oncology 23 (Supplement_6), vi146-vi146, 2021 | 4 | 2021 |
| EPCO-25. MULTI-OMICS DISEASE STRATIFICATION IN PATIENTS WITH IDH-WILDTYPE GLIOBLASTOMA: SYNERGISTIC VALUE OF CLINICAL MEASURES, CONVENTIONAL AND DEEP RADIOMICS, AND GENOMICS … AF Kazerooni, S Saxena, D Tu, E Toorens, V Bashyam, H Akbari, ... Neuro-Oncology 23 (Supplement_6), vi7-vi7, 2021 | 1 | 2021 |
| Multi-omic prediction of overall survival in patients with glioblastoma: Additive and synergistic value of clinical measures, radiomics, and genomics AF Kazerooni, S Saxena, E Toorens, D Tu, V Bashyam, H Akbari, ... | 1 | 2021 |
| 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 | | 2024 |
| NIMG-48. ASSOCIATIONS BETWEEN HETEROGENEITY OBSERVED IN O-6-METHYLGUANINE-DNA METHYLTRANSFERASE (MGMT) ASSAY MEASUREMENTS AND MGMT-BASED IMAGING SIGNATURE BASED ON MRI AND DEEP … S Saxena, AF Kazerooni, E Toorens, S Bakas, H Akbari, E Mamourian, ... Neuro-Oncology 25 (Supplement_5), v196-v196, 2023 | | 2023 |
| 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 |
| The Radiogenomic and Spatiogenomic Landscapes of Glioblastoma, and their Relationship to Oncogenic Drivers AF Kazerooni, H Akbari, X Hu, V Bommineni, D Grigoriadis, E Toorens, ... bioRxiv, 2022.12. 15.517767, 2022 | | 2022 |
| NIMG-37. JOINT LEARNING OF IMAGING AND GENOMIC DATA REVEALS DISTINCT GLIOBLASTOMA SUBTYPES J Guo, AF Kazerooni, H Akbari, E Toorens, C Sako, E Mamourian, ... Neuro-Oncology 24 (Supplement_7), vii171-vii171, 2022 | | 2022 |
| 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 |
| NIMG-82. RADIOGENOMIC SIGNATURES OF KEY DRIVER GENES IN GBM REVEAL MOLECULAR HETEROGENEITY OF THE TUMOR MICROENVIRONMENT LINKED TO SPATIAL DISTRIBUTION: IMPACT ON THE … AF Kazerooni, H Akbari, E Toorens, D Grigoriadis, X Hu, C Sako, ... Neuro-Oncology 24 (Supplement_7), vii184-vii184, 2022 | | 2022 |
| NIMG-58. CANONICAL CORRELATION ANALYSIS IN GLIOBLASTOMA REVEALS ASSOCIATIONS BETWEEN EXPRESSION OF RADIOMIC SIGNATURES AND GENOMICS J Guo, AF Kazerooni, H Akbari, E Toorens, C Sako, E Mamourian, ... Neuro-Oncology 23 (Supplement_6), vi142-vi142, 2021 | | 2021 |
Hamed Akbari, MD, PhDSanta Clara UniversityE-mail confirmado em scu.edu
