Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI. - Reza Shirkavand; Sana Ayromlou; Soroush Farghadani; Maedeh-sadat Tahaei; Fattane Pourakpour; Bahareh Siahlou; Zeynab Khodakarami; Mohammad H. Rohban; Mansoor Fatehi; Hamid R. Rabiee (CoRR, 2021)

SVG-Net: An SVG-based Trajectory Prediction Model. - Mohammadhossein Bahari; Vahid Zehtab; Sadegh Khorasani; Sana Ayromlou; Saeed Saadatnejad; Alexandre Alahi (CoRR, 2021)

Class Impression for Data-Free Incremental Learning. - Sana Ayromlou; Purang Abolmaesumi; Teresa Tsang; Xiaoxiao Li (MICCAI (4), 2022)

Segmenting Cardiac Ultrasound Videos Using Self-Supervised Learning. - Erik Lamoureux; Sana Ayromlou; Seyedeh Neda Ahmadi Amiri; Helge Rhodin (EMBC, 2023)

Federated Impression for Learning with Distributed Heterogeneous Data. - Atrin Arya; Sana Ayromlou; Armin Saadat; Purang Abolmaesumi; Xiaoxiao Li (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets. - Fatemeh Tavakoli; David B. Emerson; Sana Ayromlou; John Taylor Jewell; Amrit Krishnan; Yuchong Zhang 002; Amol Verma; Fahad Razak (MLHC, 2024)

CCSI: Continual Class-Specific Impression for data-free class incremental learning. - Sana Ayromlou; Teresa Tsang; Purang Abolmaesumi; Xiaoxiao Li (Medical Image Anal., 2024)

Can Generative Models Improve Self-Supervised Representation Learning? - Sana Ayromlou; Vahid Reza Khazaie; Fereshteh Forghani; Arash Afkanpour (AAAI, 2025)

Adaptive Latent-Space Constraints in Personalized FL. - Sana Ayromlou; David B. Emerson (CoRR, 2025)