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Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.

F. Khader, G. Mueller-Franzes, T. Wang, T. Han, S. Arasteh, C. Haarburger, J. Stegmaier, K. Bressem, C. Kuhl, S. Nebelung, J. Kather, and D. Truhn. CoRR, (2022)

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Khader Awwad

Khader Masri

Theodora Khader

Osama Khader

Raed Khader

Other publications of authors with the same name

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.N. Laleh, H. Muti, C. Loeffler, A. Echle, O. Saldanha, F. Mahmood, M. Lu, C. Trautwein, R. Langer, B. Dislich and 13 other author(s). Medical Image Anal., (2022)Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection.F. Khader, G. Müller-Franzes, S. Arasteh, T. Han, J. Kather, J. Stegmaier, S. Nebelung, and D. Truhn. ISBI, page 1-5. IEEE, (2023)From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology.O. Nahhas, M. van Treeck, G. Wölflein, M. Unger, M. Ligero, T. Lenz, S. Wagner, K. Hewitt, F. Khader, S. Foersch and 2 other author(s). CoRR, (2023)Diffusion Probabilistic Models beat GANs on Medical Images.G. Müller-Franzes, J. Niehues, F. Khader, S. Arasteh, C. Haarburger, C. Kuhl, T. Wang, T. Han, S. Nebelung, J. Kather and 1 other author(s). CoRR, (2022)Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.V. Campello, P. Gkontra, C. Izquierdo, C. Martín-Isla, A. Sojoudi, P. Full, K. Maier-Hein, Y. Zhang, Z. He, J. Ma and 37 other author(s). IEEE Trans. Medical Imaging, 40 (12): 3543-3554 (2021)Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels.S. Arasteh, P. Isfort, M. Saehn, G. Mueller-Franzes, F. Khader, J. Kather, C. Kuhl, S. Nebelung, and D. Truhn. CoRR, (2022)Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation.G. Müller-Franzes, F. Müller-Franzes, L. Huck, V. Raaff, E. Kemmer, F. Khader, S. Arasteh, T. Nolte, J. Kather, S. Nebelung and 2 other author(s). CoRR, (2023)AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.C. de Vente, K. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le and 26 other author(s). IEEE Trans. Medical Imaging, 43 (1): 542-557 (January 2024)AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.C. de Vente, K. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le and 26 other author(s). CoRR, (2023)Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers.F. Khader, J. Stegmaier, S. Nebelung, and D. Truhn. ISBI, page 1-4. IEEE, (2023)

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Disambiguation of "Khader, Firas"

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Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.

Please choose a person to relate this publication to

Khader Awwad

Khader Masri

Theodora Khader

Osama Khader

Raed Khader

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Khader, Firas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.

Please choose a person to relate this publication to

Khader Awwad

Khader Masri

Theodora Khader

Osama Khader

Raed Khader

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.