| SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions AA Heydari, AM Craig A. Thompson https://arxiv.org/abs/1912.12355, 2020 | 50 | 2020 |
| Regulation of CTLA-4 and PD-L1 Expression in Relapsing-Remitting Multiple Sclerosis Patients after Treatment with Fingolimod, IFNβ-1α, Glatiramer Acetate, and Dimethyl Fumarate … A Derakhshani, Z Asadzadeh, H Safarpour, P Leone, M Abdoli Shadbad, ... Journal of Personalized Medicine 11, 2021 | 21 | 2021 |
| ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders AA Heydari, O Davalos, L Zhao, K Hoyer, S Sindi Bioinformatics, 2022 | 18 | 2022 |
| Deep learning applications in single-cell omics data analysis N Erfanian, AA Heydari, P Ianez, A Derakhshani, M Ghasemigol, ... https://www.biorxiv.org/content/10.1101/2021.11.26.470166v2, 2021 | 15 | 2021 |
| SRVAE: super resolution using variational autoencoders AA Heydari, A Mehmood Pattern Recognition and Tracking XXXI 11400, 87-100, 2020 | 14 | 2020 |
| Deep learning applications in single-cell genomics and transcriptomics data analysis N Erfanian, AA Heydari, AM Feriz, P Iañez, A Derakhshani, M Ghasemigol, ... Biomedicine & Pharmacotherapy 165, 115077, 2023 | 10 | 2023 |
| Deep learning in Spatial Transcriptomics AA Heydari, SS Sindi BioRxiv, 2022.02. 28.482392, 2022 | 10 | 2022 |
| Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing AA Heydari, SS Sindi Biophysics Reviews 4 (011306), 2023 | 7 | 2023 |
| Conservative Finite Volume Method on Deforming Geometries: the Case of Protein Aggregation in Dividing Yeast Cells AA Heydari, SS Sindi, T Maxime Journal of Computational Physics, 110755, 2021 | 6 | 2021 |
| Boosting Single-Cell RNA Sequencing Analysis with Simple Neural Attention O Davalos, AA Heydari, E Fertig, S Sindi, K Hoyer https://www.biorxiv.org/content/10.1101/2023.05.29.542760v1, 2023 | 1 | 2023 |
| Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction AA Heydari, N Rezaei, X Prieto, S Patel https://www.researchsquare.com/article/rs-3054397/v1, 2023 | 1 | 2023 |
| N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification AA Heydari, OA Davalos, KK Hoyer, SS Sindi The 2022 International Conference on Machine Learning (ICML) Workshop on …, 2022 | 1 | 2022 |
| Deep Learning and Numerical Methods for Modeling Complex Biological Systems AA Heydari UC Merced, 2023 | | 2023 |
| ROMNet: Learning Partial Differential Equation Dynamics from Data Using Reduced Order Model Neural Networks AA Heydari APS March Meeting Abstracts 2023, T00. 299, 2023 | | 2023 |
| No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective AA Heydari, N Rezaei, DJ McDuff, JL Prieto https://arxiv.org/abs/2210.09506, 2022 | | 2022 |
| Characterization of High Risk Virtual Machines and Clusters in the Azure Fleet using Community Detection and SoftRisk AA Heydari, P Punj, B Malladihalli Shashidhara, JA Herrera-Ortiz Microsoft Journal of Applied Research (MSJAR) 16, 2022 | | 2022 |
| Realistic scRNAseq generation using IntroVAEs conditioned with automatic cell-type identification AA Heydari https://doi.org/10.5281/zenodo.5879639, 2021 | | 2021 |
| Automated identification of cell types in single cell RNA sequencing (Package) AA Heydari https://github.com/SindiLab/ACTINN-PyTorch, 2021 | | 2021 |
| Deep-Learned Contextual Representations of Amazon Products for Ad Selection and Relevance Ranking AA Heydari, SH Mohammadi, S Muralidharan Amazon Machine Learning Conference, 2020 | | 2020 |
Suzanne SindiProfessor of Applied MathematicsVerified email at ucmerced.edu
