Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound: Impacts of Training Data Format and Imperfections on Convergence. - Farnaz Khun Jush; Peter Michael Dueppenbecker; Andreas Maier 001 (MIUA, 2021)

Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness. - Farnaz Khun Jush; Markus Biele; Peter M. Dueppenbecker; Andreas K. Maier (CoRR, 2022)

AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound. - Farnaz Khun Jush; Markus Biele; Peter M. Dueppenbecker; Andreas K. Maier (CoRR, 2022)

Speed-of-Sound Mapping for Pulse-Echo Ultrasound Raw Data Using Linked-Autoencoders. - Farnaz Khun Jush; Peter M. Dueppenbecker; Andreas K. Maier (ML4MHD, 2023)

Medical Image Retrieval Using Pretrained Embeddings. - Farnaz Khun Jush; Tuan Truong; Steffen Vogler; Matthias Lenga (ISBI, 2024)

Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images. - Tuan Truong; Farnaz Khun Jush; Matthias Lenga (ISBI, 2024)

Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study. - Farnaz Khun Jush; Steffen Vogler; Tuan Truong; Matthias Lenga (IEEE Access, 2025)

Content-based 3D Image Retrieval and a ColBERT-inspired Re-ranking for Tumor Flagging and Staging. - Farnaz Khun Jush; Steffen Vogler; Matthias Lenga (CoRR, 2025)