How Transferable are Self-supervised Features in Medical Image Classification Tasks? - Tuan Truong; Sadegh Mohammadi 003; Matthias Lenga (ML4H@NeurIPS, 2021)

FAIR4Cov: Fused Audio Instance and Representation for COVID-19 Detection. - Tuan Truong; Matthias Lenga; Antoine Serrurier; Sadegh Mohammadi 003 (CoRR, 2022)

Towards Hierarchical Regional Transformer-based Multiple Instance Learning. - Josef Cersovsky; Sadegh Mohammadi 003; Dagmar Kainmueller; Johannes Höhne (ICCV (Workshops), 2023)

Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology. - Pedro Osório; Guillermo Jiménez-Pérez; Javier Montalt-Tordera; Jens Hooge; Guillem Duran Ballester; Shivam Singh; Moritz Radbruch; Ute Bach; Sabrina Schroeder; Krystyna Siudak; Julia Vienenkoetter; Bettina Lawrenz; et al. (CoRR, 2023)

Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model. - Kun Zhao; Jakub Prokop; Javier Montalt-Tordera; Sadegh Mohammadi 003 (DGM4MICCAI@MICCAI, 2024)

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training. - Guillermo Jiménez-Pérez; Pedro Osório; Josef Cersovsky; Javier Montalt-Tordera; Jens Hooge; Steffen Vogler; Sadegh Mohammadi 003 (CoRR, 2024)

Fused Audio Instance and Representation for Respiratory Disease Detection. - Tuan Truong; Matthias Lenga; Antoine Serrurier; Sadegh Mohammadi 003 (Sensors, 2024)

Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech. - Joanna Reszka; Parvaneh Janbakhshi; Tilak Purohit; Sadegh Mohammadi 003 (ICASSP Workshops, 2025)

DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training. - Guillermo Jiménez-Pérez; Pedro Osório; Josef Cersovsky; Javier Montalt-Tordera; Jens Hooge; Steffen Vogler; Sadegh Mohammadi 003 (MIUA (1), 2025)