Sadegh Mohammadi

Bayer (Germany) — Germany

Computer Science · Physical Sciences

9h-index419citations40works1.62yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

AI in cancer detection(9), Anomaly Detection Techniques and Applications(6), Video Surveillance and Tracking Methods(4), Colorectal Cancer Screening and Detection(4), Human Pose and Action Recognition(4)

Publications40 total

SHARE: towards usable, trustworthy and interoperable synthetic health data for rare diseases
BMJ Health & Care Informatics·2026Open Access
DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training
Lecture notes in computer science·2025
Evaluation of longitudinal image-derived AI prognostication as a predictor of overall survival (OS) in a phase 3 advanced non-small cell lung cancer (aNSCLC) trial.
Journal of Clinical Oncology·2025
Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech
2025
Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech
arXiv (Cornell University)·2024· 1 citedOpen Access
Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model
Lecture notes in computer science·2024· 1 cited
Fused Audio Instance and Representation for Respiratory Disease Detection
Sensors·2024· 3 citedOpen Access
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model
arXiv (Cornell University)·2024Open Access
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training
arXiv (Cornell University)·2024Open Access
Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology
Diagnostics·2024· 13 citedOpen Access
Pyheartlib: A Python package for processingelectrocardiogram signals
The Journal of Open Source Software·2024Open Access
Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology
arXiv (Cornell University)·2023· 1 citedOpen Access
Towards Hierarchical Regional Transformer-based Multiple Instance Learning
2023· 7 cited
Deep metric learning for few-shot X-ray image classification
2023· 3 citedOpen Access
Towards Hierarchical Regional Transformer-based Multiple Instance Learning
arXiv (Cornell University)·2023Open Access
Prediction of climate change on surface water using NARX neural network model: a case study on Ghezel Ozan River, Northwest, Iran
Desalination and Water Treatment·2023· 4 citedOpen Access
Reliability of Steel Cylindrical Pressure Vessel Dividers in the Presence of Corrosion: Experiment and Simulation
International Journal of Steel Structures·2023· 2 cited
Fused Audio Instance and Representation for Respiratory Disease Detection
arXiv (Cornell University)·2022Open Access
Potential Application of Picosecond Pulsed Electric Field (PPEF): Advanced Bioelectrical Technology for Potential COVID-19 Treatment
Journal of New Materials for Electrochemical Systems·2021· 11 citedOpen Access
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
arXiv (Cornell University)·2021· 12 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Javier Montalt‐Tordera(8), Vittorio Murino(7), Alessandro Perina(6), Hamed Kiani Galoogahi(4), Pedro Osório(4), Guillermo Jiménez-Pérez(4), Jens Hooge(4), Josef Cersovsky(4), Matthias Lenga(3), Christian Paulitz-Erdmann(3), Linus Goerlitz(3), Jakub Prokop(3), Karim Khazaei(3), Guillem Duran-Ballester(2), Shivam Singh(2), Moritz Radbruch(2), Ute Bach(2), Sabrina Schroeder(2), Krystyna Siudak(2), Julia Vienenkoetter(2)