[13] John R. Caskey, Fereshteh S Bashiri, et al. (2021). Sepsis Prediction Using Semi-Supervised and Transfer Learning. AMIA Annual Symposium. [Accepted]
[12] Fereshteh S Bashiri. (2019). Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach. UWM PhD Thesis. [ProQuest]
[11] Fereshteh S Bashiri, Jonathan C Badger, Roshan M D'Souza, Zeyun Yu, and Peggy Peissig. (2019). Lung Nodule Classification Using Combined Deep and Spectral 3D Shape Features. In IEEE-EMBS International Conference on Biomedical Health Informatics (BHI). [IEEE].
[10] Fereshteh S Bashiri, Reihaneh Rostami, Roshan M D'Souza, and Zeyun Yu. (2019). An Application of Manifold Learning in Global Shape Descriptors. Algorithms, 12(8):171. [MDPI].
[9] Jonathan C Badger, Eric LaRose, John Mayer, Fereshteh S Bashiri, David Page, Peggy Peissig. (2019) Machine learning for phenotyping opioid overdose events. Journal of Biomedical Informatics, 94. [ScienceDirect].
[8] Fereshteh S Bashiri, Ahmadreza Baghaie, Reihaneh Rostami, Roshan M D'Souza, and Zeyun Yu. (2018). Multi-modal medical image registration with full or partial data: A manifold learning approach. Journal of Imaging, 5(1):5. [MDPI]
[7] Fereshteh S Bashiri, Eric LaRose, Jonathan Badger, Roshan M D'Souza, Zeyun Yu, and Peggy Peissig. (2018). Object detection to assist visually impaired people: a deep neural network adventure. In the 13th International Symposium on Visual Computing (ISVC). pp. 500-510. [Springer]
[6] Reihaneh Rostami, Fereshteh S Bashiri, Behrouz Rostami, and Zeyun Yu. A survey on data-driven 3D shape descriptors. (2018). Computer Graphics Forum, 38(1). pp. 356-393. [Wiley]
[5] Ahmad P Taft, Fereshteh S Bashiri, Eric LaRose, and Peggy Peissig. (2018). Diagnostic Classification of Lung CT Images using Deep 3D Multi-Scale Convolutional Neural Network. In the Sixth IEEE International Conference on Healthcare Informatics (ICHI). pp. 412-414. [IEEE]
[4] Ahmad P Taft, Mehdi Assefi, Eric LaRose, Jonathan Badger, Zhang Ye, Neel Shimpi, Fereshteh S Bashiri, Elham Sagheb, Houng McLean, David Page, and Peggy Peissig. (2018). Big data deep neural network to analyze adverse vaccine reaction. In AMIA Informatics Summit. [Link]
[3] Fereshteh S Bashiri, Eric LaRose, Peggy Peissig, and Ahmad P Tafti. (2018). Mcindoor20000: A fully-labeled image dataset to advance indoor objects detection. Data in Brief, 17, 71-75. [ScienceDirect]
[2] Fereshteh S Bashiri, Hesam Tavassoli, Rahim Faez, and Saeed Bagheri Shooraki. Quantum dot cellular automata counter with start/stop and reset inputs. In International Semiconductor Device Research Symposium, 2009.
[1] Fereshteh S Bashiri, Hesam Tavassoli, Rahim Faez, and Saeed Bagheri Shooraki. A novel 3-input and/or gate in quantum-dot cellular automata with single clock zone and minimum area. In International Semiconductor Device Research Symposium, 2009.