Sadegh Mohammadi

According to our database, Sadegh Mohammadi authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model.

Kun Zhao, Jakub Prokop, Javier Montalt-Tordera, Sadegh Mohammadi

CoRR, 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

CoRR, 2024

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, Sadegh Mohammadi

CoRR, 2023

Towards Hierarchical Regional Transformer-based Multiple Instance Learning.

Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

FAIR4Cov: Fused Audio Instance and Representation for COVID-19 Detection.

Tuan Truong, Matthias Lenga, Antoine Serrurier, Sadegh Mohammadi

CoRR, 2022

2021

How Transferable are Self-supervised Features in Medical Image Classification Tasks?

Tuan Truong, Sadegh Mohammadi, Matthias Lenga

Proceedings of the Machine Learning for Health, 2021