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Seyedeh 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
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
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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last updated on 2024-10-07 21:16 CEST by the dblp team
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