Ahmad Bin Qasim

According to our database, Ahmad Bin Qasim authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Test-time augmentation with synthetic data addresses distribution shifts in spectral imaging.

Ahmad Bin Qasim, Alessandro Motta, Alexander Studier-Fischer, Jan Sellner, Leonardo Ayala, Marco Hübner, Marc Bressan, Berkin Özdemir, Karl-Friedrich Kowalewski, Felix Nickel, Silvia Seidlitz, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., June, 2024

Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis.

Jan Sellner, Alexander Studier-Fischer, Ahmad Bin Qasim, Silvia Seidlitz, Nicholas Schreck, Minu Tizabi, Manuel Wiesenfarth, Annette Kopp-Schneider, Samuel Knödler, Caelan Max Haney, Gabriel Salg, Berkin Özdemir, Maximilian Dietrich, Maurice Stephan Michel, Felix Nickel, Karl-Friedrich Kowalewski, Lena Maier-Hein

CoRR, 2024

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

2020

Recurrent Neural Networks for video object detection.

Ahmad Bin Qasim, Arnd Pettirsch

CoRR, 2020

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.

Ahmad Bin Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020