| Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images J Noorbakhsh, S Farahmand, A Foroughi Pour, S Namburi, D Caruana, ... Nature communications 11 (1), 6367, 2020 | 133 | 2020 |
| Deep learning features encode interpretable morphologies within histological images A Foroughi pour, BS White, J Park, TB Sheridan, JH Chuang Scientific Reports 12 (1), 1-12, 2022 | 12 | 2022 |
| Optimal Bayesian feature selection on high dimensional gene expression data AF Pour, LA Dalton 2014 IEEE Global Conference on Signal and Information Processing (Globalsip …, 2014 | 11 | 2014 |
| Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure A Foroughi pour, LA Dalton Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 8 | 2017 |
| Optimal Bayesian feature filtering AF Pour, LA Dalton Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015 | 8 | 2015 |
| Foroughi pour A, Namburi S, Caruana D, Rimm D, et al J Noorbakhsh, S Farahmand Deep learning‑based cross‑classifica‑tions reveal conserved spatial …, 2020 | 7 | 2020 |
| Robust feature selection for block covariance Bayesian models AF Pour, LA Dalton 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
| The effect of blurring on lung cancer subtype classification accuracy of convolutional neural networks T Nair, JH Chuang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 5 | 2020 |
| Optimal Bayesian filtering for biomarker discovery: Performance and robustness LA Dalton IEEE/ACM transactions on computational biology and bioinformatics 17 (1 …, 2018 | 4 | 2018 |
| Optimal Bayesian feature selection with missing data AF Pour, LA Dalton 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 4 | 2016 |
| Deep learning image analysis quantifies tumor heterogeneity and identifies microsatellite instability in colon cancer JC Rubinstein, A Foroughi Pour, J Zhou, TB Sheridan, BS White, ... Journal of surgical oncology 127 (3), 426-433, 2023 | 3 | 2023 |
| High dimensional model representation of log-likelihood ratio: binary classification with expression data AF Pour, M Pietrzak, LA Dalton, GA Rempała BMC bioinformatics 21 (1), 156, 2020 | 3 | 2020 |
| Optimal Bayesian feature filtering for single-nucleotide polymorphism data AF Pour, LA Dalton 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 3 | 2017 |
| Multiple sclerosis biomarker discovery via Bayesian feature selection AF Pour, LA Dalton Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016 | 3 | 2016 |
| Theory of optimal Bayesian feature filtering A Foroughi pour, LA Dalton | 2 | 2020 |
| Multiclass Bayesian feature selection AF Pour, LA Dalton 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 2 | 2017 |
| Integrating Prior Information with Bayesian Feature Selection A Foroughi pour, LA Dalton Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 2 | 2017 |
| SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images P Mukashyaka, TB Sheridan, JH Chuang EBioMedicine 99, 2024 | 1 | 2024 |
| Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality J Zhou, A Foroughi pour, H Deirawan, F Daaboul, T Aung, R Beydoun, ... bioRxiv, 2022 | 1 | 2022 |
| Abstract PO-003: Deep learning identifies conserved pan-cancer tumor features J Noorbakhsh, S Farahmand, A Foroughi pour, S Namburi, D Caruana, ... Clinical Cancer Research 27 (5_Supplement), PO-003-PO-003, 2021 | 1 | 2021 |
