Learning Similarity via Subjective Evaluations and Deep Features of Histopathology Images. - Seyedeh Maryam Hosseini; Morteza Babaie; Hamid R. Tizhoosh (BIBE, 2021)

Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. - Seyedeh Maryam Hosseini; Milad Sikaroudi; Morteza Babaie; Hamid R. Tizhoosh (DeCaF/FAIR@MICCAI, 2022)

Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems. - Seyedeh Maryam Hosseini; Shahram Shahsavari; Catherine Rosenberg (WCNC, 2022)

Class-imbalanced Unsupervised and Semi-Supervised Domain Adaptation for Histopathology Images. - Seyedeh Maryam Hosseini; Abubakr Shafique; Morteza Babaie; Hamid R. Tizhoosh (EMBC, 2023)

ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. - Milad Sikaroudi; Seyedeh Maryam Hosseini; Shahryar Rahnamayan; Hamid R. Tizhoosh (ICCV (Workshops), 2023)

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. - 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; et al. (J. Imaging, 2023)

Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. - Seyedeh Maryam Hosseini; Milad Sikaroudi; Morteza Babaie; Hamid R. Tizhoosh (IEEE Trans. Medical Imaging, 2023)

An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application. - Mahdi Shaeri; Nasser Shoeibi; Seyedeh Maryam Hosseini; Fatemeh Rangraz Jeddi; Razieh Farrahi; Ehsan Nabovati; Azam Salehzadeh (BMC Medical Informatics Decis. Mak., 2023)

Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches. - 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; et al. (BMC Medical Informatics Decis. Mak., 2024)

Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity. - Nasser Shoeibi; Majid Abrishami; Seyedeh Maryam Hosseini; Mohammadreza Ansari Astaneh; Razieh Farrahi; Bahareh Gharib; Fatemeh Neghabi; Mojtaba Abrishami; Mehdi Sakhaee; Mehrdad Motamed Shariati (BMC Medical Informatics Decis. Mak., 2025)