Sayedali Shetab Boushehri

According to our database, Sayedali Shetab Boushehri authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DomainLab: A modular Python package for domain generalization in deep learning.

Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr

CoRR, 2024

A Data-Driven Solution for The Cold Start Problem in Biomedical Image Classification.

Salome Kazeminia, Miroslav Brezík, Sayedali Shetab Boushehri, Carsten Marr

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology.

Rao Muhammad Umer, Armin Gruber, Sayedali Shetab Boushehri, Christian Metak, Carsten Marr

CoRR, 2023

A Continual Learning Approach for Cross-Domain White Blood Cell Classification.

Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

2022

Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification.

Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Jens Elias Waibel, Fabian Schmich, Carsten Marr

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification.

Dominik Jens Elias Waibel, Sayedali Shetab Boushehri, Carsten Marr

BMC Bioinform., 2021