Seyedeh Maryam Hosseini

13 papers B 1C 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity.
BMC Medical Informatics Decis. Mak.
Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammadreza Ansari Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati
2024 J jnl
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.
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
2023 — conf
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals.
ICCV (Workshops)
Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh
2023 J jnl
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals.
CoRR
Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh
2023 J jnl
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application.
BMC Medical Informatics Decis. Mak.
Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraz Jeddi, Razieh Farrahi, Ehsan Nabovati, Azam Salehzadeh
2023 — conf
Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images.
EMBC
Seyedeh Maryam Hosseini, Abubakr Shafique, Morteza Babaie, Hamid R. Tizhoosh
2023 J jnl
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies.
J. Imaging
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
2023 J jnl
Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images.
IEEE Trans. Medical Imaging
Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
2022 J jnl
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images.
CoRR
Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
2022 — conf
Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images.
DeCaF/FAIR@MICCAI
Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh
2022 B conf
Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems.
WCNC
Seyedeh Maryam Hosseini, Shahram Shahsavari, Catherine Rosenberg
2021 C conf
Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images.
BIBE
Seyedeh Maryam Hosseini, Morteza Babaie, Hamid R. Tizhoosh
2021 J jnl
Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems.
CoRR
Seyedeh Maryam Hosseini, Shahram Shahsavari, Catherine Rosenberg