| Detection of nuclei in H&E stained sections using convolutional neural networks M Khoshdeli, R Cong, B Parvin 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 48 | 2017 |
| Feature-based representation improves color decomposition and nuclear detection using a convolutional neural network M Khoshdeli, B Parvin IEEE Transactions on Biomedical Engineering 65 (3), 625-634, 2017 | 27 | 2017 |
| Topographically guided UAV for identifying tension cracks using image-based analytics in open-pit mines G Winkelmaier, R Battulwar, M Khoshdeli, J Valencia, J Sattarvand, ... IEEE Transactions on Industrial Electronics 68 (6), 5415-5424, 2020 | 21 | 2020 |
| Deep learning models differentiate tumor grades from H&E stained histology sections M Khoshdeli, A Borowsky, B Parvin 2018 40th Annual international conference of the IEEE engineering in …, 2018 | 21 | 2018 |
| Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes M Khoshdeli, G Winkelmaier, B Parvin BMC bioinformatics 19, 1-11, 2018 | 17 | 2018 |
| Overexpression of CD36 in mammary fibroblasts suppresses colony growth in breast cancer cell lines Q Cheng, K Jabbari, G Winkelmaier, C Andersen, P Yaswen, M Khoshdeli, ... Biochemical and biophysical research communications 526 (1), 41-47, 2020 | 15 | 2020 |
| Electromagnetic transient events (EMTE) classification in transmission grids M Khoshdeli, I Niazazari, RJ Hamidi, H Livani, B Parvin 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 15 | 2017 |
| IL‐31 Levels Correlate with Pruritus in Patients with Cholestatic and Metabolic Liver Diseases and is FXR Responsive in NASH J Xu, Y Wang, M Khoshdeli, M Peach, JC Chuang, J Lin, WW Tsai, ... Hepatology, 2022 | 14* | 2022 |
| Deep learning models delineates multiple nuclear phenotypes in h&e stained histology sections M Khoshdeli, B Parvin arXiv preprint arXiv:1802.04427, 2018 | 12 | 2018 |
| YY1 is a cis-regulator in the organoid models of high mammographic density Q Cheng, M Khoshdeli, BS Ferguson, K Jabbari, C Zang, B Parvin Bioinformatics 36 (6), 1663-1667, 2020 | 7 | 2020 |
| Multilayer encoder-decoder network for 3D nuclear segmentation in spheroid models of human mammary epithelial cell lines M Khoshdeli, G Winkelmaier, B Parvin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 5 | 2018 |
| Deep fusion of contextual and object-based representations for delineation of multiple nuclear phenotypes M Khoshdeli, G Winkelmaier, B Parvin Bioinformatics 35 (22), 4860-4861, 2019 | 3 | 2019 |
| Quantum cascade laser infrared microscopy differentiates malignant phenotypes in breast histology sections G Winkelmaier, M Khoshdeli, Q Cheng, A Borowsky, B Parvin 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 1 | 2018 |
| Pan-Cancer Nuclei Segmentation in Hematoxylin And Eosin Whole Slide Images M Khoshdeli, R Joshi, B Osinski, L Lonini, M Stumpe USCAP 2024 Annual Meeting, 2024 | | 2024 |
| Large-Scale DNA Alteration Prediction From H&E Images Across Different Cancer Types Generalizing To External Images K Ingale, S Hae Hong, BL Osinski, M khoshdeli, etc USCAP 2024 Annual Meeting, 2024 | | 2024 |
| Associations between novel serum biomarkers chitinase-2-like protein (YKL-40), type IV collagen, and thrombospondin-2 (TSP-2) with fibrosis stage and clinical outcomes in … M Trauner, A Muir, J Xu, M Khoshdeli, B Downie, A Billin, C Chung, ... Journal of Hepatology 77, S318, 2022 | | 2022 |
| Computational Methods for Delineating Multiple Nuclear Phenotypes from Different Imaging Modalities M Khoshdeli University of Nevada, Reno, 2019 | | 2019 |
| Integrative data analysis predicts YY1 as a Cis-regulator in the 3D Cell Culture Models of MCF10A at the Stiffness Level of High Mammographic Density Q Cheng, M Khoshdeli, C Zang, B Parvin bioRxiv, 365403, 2018 | | 2018 |
Bahram ParvinProfessor of Bioengineering, Cell and Molecular Biology, University of Nevada, RenoVerified email at unr.edu
