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Mahapatra, Dwarikanath; Bozorgtabar, Behzad; Ge, Zongyuan; Reyes, Mauricio (2024). GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical image analysis, 93(103075), p. 103075. Elsevier 10.1016/j.media.2023.103075
Abbet, Christian; Studer, Linda; Fischer, Andreas; Dawson, Heather; Zlobec, Inti; Bozorgtabar, Behzad; Thiran, Jean-Philippe (2022). Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical image analysis, 79(102473), p. 102473. Elsevier 10.1016/j.media.2022.102473
Bozorgtabar, Behzad; Mahapatra, Dwarikanath; Zlobec, Inti; Rau, Tilman T.; Thiran, Jean-Philippe (2020). Editorial: Computational Pathology. Frontiers in medicine, 7(245), p. 245. Frontiers 10.3389/fmed.2020.00245
Bozorgtabar, Behzad; Mahapatra, Dwarikanath; von Tengg-Kobligk, Hendrik; Pöllinger, Alexander; Ebner, Lukas; Thiran, Jean-Phillipe; Reyes, Mauricio (2019). Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Computer vision and image understanding, 184, pp. 57-65. Elsevier 10.1016/j.cviu.2019.04.007
Mahapatra, Dwarikanath; Jimeno Yepes, Antonio Jose; Kuanar, Shiba; Roy, Sudipta; Bozorgtabar, Behzad; Reyes, Mauricio; Ge, Zongyuan (8 October 2023). Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Lecture Notes in Computer Science: Vol. 14221 (pp. 276-286). Springer 10.1007/978-3-031-43895-0_26
You, Suhang; Tomar, Devavrat; Bozorgtabar, Behzad; Reyes, Mauricio (2023). Sagtta: saliency guided test time augmentation for medical image segmentation across vendor domain shift. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023. 10.1109/ISBI53787.2023.10230764
Abbet, Christian; Zlobec, Inti; Bozorgtabar, Behzad; Thiran, Jean-Philippe (2020). Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. In: Martel, Anne L.; Abolmaesumi, Purang; Stoyanov, Danail; Mateus, Diana; Zuluaga, Maria A.; Zhou, S. Kevin; Racoceanu, Daniel; Joskowicz, Leo (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lecture Notes in Computer Science: Vol. 12265 (pp. 480-489). Cham: Springer International Publishing 10.1007/978-3-030-59722-1_46
Mahapatra, Dwarikanath; Bozorgtabar, Behzad; Thiran, Jean-Philippe; Reyes, Mauricio (2018). Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. In: Frangi, Alejandro F.; Schnabel, Julia A.; Davatzikos, Christos; Alberola-López, Carlos; Fichtinger, Gabor (eds.) Medical Image Computing and Computer Assisted Interventions. Lecture Notes in Computer Science: Vol. 11071 (pp. 580-588). Cham: Springer International Publishing 10.1007/978-3-030-00934-2_65
