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ORCIDSeyedeh Maryam Hosseini
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2020 – today
- 2024
[j4]Mehrdad Motamed Shariati, Saeid Eslami, Nasser Shoeibi, Alireza Eslampoor, Mohammadreza Sedaghat, Hamid Gharaei, Siamak Zarei-Ghanavati, Akbar Derakhshan, Majid Abrishami, Mojtaba Abrishami, Seyedeh Maryam Hosseini, Saeed Shokuhi Rad, Mohammadreza Ansari Astaneh, Raheleh Mahboub Farimani:
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches. BMC Medical Informatics Decis. Mak. 24(1): 131 (2024)- 2023
- [j3]James Li, Chieh-Ju Chao
, Jiwoong Jason Jeong, Juan Maria Farina, Amith R. Seri, Timothy Barry, Hana Newman, Megan Campany, Merna Abdou, Michael O'Shea, Sean Smith, Bishoy Abraham, Seyedeh Maryam Hosseini, Yuxiang Wang, Steven J. Lester, Said Alsidawi, Susan Wilansky, Eric Steidley, Julie Rosenthal, Chadi Ayoub, Christopher P. Appleton, Win-Kuang Shen, Martha Grogan, Garvan C. Kane, Jae K. Oh, Bhavik N. Patel, Reza Arsanjani, Imon Banerjee:
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging 9(2): 48 (2023) - [j2]Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraz Jeddi, Razieh Farrahi, Ehsan Nabovati, Azam Salehzadeh:
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application. BMC Medical Informatics Decis. Mak. 23(1): 130 (2023) - [j1]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. IEEE Trans. Medical Imaging 42(7): 1982-1995 (2023) - [c5]Seyedeh Maryam Hosseini, Abubakr Shafique, Morteza Babaie, Hamid R. Tizhoosh:
Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images. EMBC 2023: 1-7 - [c4]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. ICCV (Workshops) 2023: 2656-2665 - [i3]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. CoRR abs/2308.03936 (2023) - 2022
- [c3]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. DeCaF/FAIR@MICCAI 2022: 110-118 - [c2]Seyedeh Maryam Hosseini, Shahram Shahsavari, Catherine Rosenberg:
Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems. WCNC 2022: 1617-1622 - [i2]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images. CoRR abs/2208.10919 (2022) - 2021
- [c1]Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh:
Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. BIBE 2021: 1-5 - [i1]Seyedeh Maryam Hosseini, Shahram Shahsavari, Catherine Rosenberg:
Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems. CoRR abs/2109.05681 (2021)
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