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Firas Khader
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2020 – today
- 2024
- [j6]Daniel Truhn
, Soroosh Tayebi Arasteh
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92: 103059 (2024) - [j5]Evi M. C. Huijben
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97: 103276 (2024) - [j4]Coen de Vente
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024) - [c7]Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather:
Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology. MICCAI (4) 2024: 254-262 - [c6]Tianyu Han, Sven Nebelung, Firas Khader, Jakob Nikolas Kather, Daniel Truhn:
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction. MICCAI (7) 2024: 509-517 - [i15]Patrick Wienholt
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs. CoRR abs/2402.05685 (2024) - [i14]Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather:
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology. CoRR abs/2403.03891 (2024) - [i13]Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Müller-Franzes, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization. CoRR abs/2406.01314 (2024) - [i12]Tianyu Han, Sven Nebelung, Firas Khader, Jakob Nikolas Kather, Daniel Truhn:
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction. CoRR abs/2406.16983 (2024) - 2023
- [c5]Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. ISBI 2023: 1-5 - [c4]Firas Khader, Johannes Stegmaier, Sven Nebelung, Daniel Truhn:
Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers. ISBI 2023: 1-4 - [c3]Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs. SASHIMI@MICCAI 2023: 1-10 - [c2]Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. MLMI@MICCAI (2) 2023: 417-426 - [i11]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i10]Gustav Müller-Franzes, Fritz Müller-Franzes, Luisa Huck, Vanessa Raaff, Eva Kemmer, Firas Khader, Soroosh Tayebi Arasteh
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation. CoRR abs/2304.08972 (2023) - [i9]Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. CoRR abs/2305.06963 (2023) - [i8]Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs. CoRR abs/2305.06965 (2023) - [i7]Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn:
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. CoRR abs/2309.17007 (2023) - [i6]Tianyu Han, Laura Zigutyte, Luisa Huck, Marc Huppertz, Robert Siepmann
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. CoRR abs/2309.17123 (2023) - [i5]Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine Jane Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather:
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology. CoRR abs/2312.10944 (2023) - 2022
- [j3]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - [j2]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82: 102622 (2022) - [i4]Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR abs/2211.03364 (2022) - [i3]Soroosh Tayebi Arasteh
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. CoRR abs/2211.13606 (2022) - [i2]Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh
Diffusion Probabilistic Models beat GANs on Medical Images. CoRR abs/2212.07501 (2022) - [i1]Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR abs/2212.09162 (2022) - 2021
- [j1]Víctor M. Campello
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - 2020
- [c1]Firas Khader, Justus Schock, Daniel Truhn, Fabian Morsbach, Christoph Haarburger:
Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 269-276
Coauthor Index
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