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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Azad, R., Jia, Y., Khodapanah Aghdam, E., Cohen-Adad, J., & Merhof, D. (2025). TransCeption: Enhancing medical image segmentation with an inception-like transformer design for efficient feature fusion. Computational Visual Media, 17 pages. External link
Azad, R., Dehghanmanshadi, M., Khosravi, N., Cohen-Adad, J., & Merhof, D. (2025). Addressing missing modality challenges in MRI images: a comprehensive review. Computational Visual Media, 11(2), 241-268. Available
Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., van Ginneken, B., Bilello, M., Bilic, P., Christ, P. F., Do, R. K. G., Gollub, M. J., Heckers, S. H., Huisman, H., Jarnagin, W. R., ... Cardoso, M. J. (2022). The medical segmentation decathlon. Nature Communications, 13(1), 4128 (13 pages). Available
Azad, R., Heidari, M., Cohen-Adad, J., Adeli, E., & Merhof, D. (2022, September). Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach [Paper]. 5th International Workshop on Predictive Intelligence in Medicine (PRIME 2022). External link
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., ... Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis, 84, 102680 (24 pages). External link
Heidari, M., Kazerouni, A., Soltany, M., Azad, R., Khodapanah Aghdam, E., Cohen-Adad, J., & Merhof, D. (2023, January). HiFormer: hierarchical multi-scale representations uUsing transformers for medical image segmentation [Paper]. Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii. External link
