Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. - Firas Khader; Justus Schock; Daniel Truhn; Fabian Morsbach; Christoph Haarburger (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. - Firas Khader; Gustav Mueller-Franzes; Soroosh Tayebi Arasteh; Tianyu Han; Christoph Haarburger; Maximilian Schulze-Hagen; Philipp Schad; Sandy Engelhardt; Bettina Baeßler; Sebastian Foersch; Johannes Stegmaier; Christiane Kuhl; et al. (CoRR, 2022)

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. - Soroosh Tayebi Arasteh; Peter Isfort; Marwin Saehn; Gustav Mueller-Franzes; Firas Khader; Jakob Nikolas Kather; Christiane Kuhl; Sven Nebelung; Daniel Truhn (CoRR, 2022)

Diffusion Probabilistic Models beat GANs on Medical Images. - Gustav Müller-Franzes; Jan Moritz Niehues; Firas Khader; Soroosh Tayebi Arasteh; Christoph Haarburger; Christiane Kuhl; Tianci Wang; Tianyu Han; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2022)

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. - Firas Khader; Gustav Mueller-Franzes; Tianci Wang; Tianyu Han; Soroosh Tayebi Arasteh; Christoph Haarburger; Johannes Stegmaier; Keno K. Bressem; Christiane Kuhl; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2022)

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. - Firas Khader; Gustav Müller-Franzes; Soroosh Tayebi Arasteh; Tianyu Han; Jakob Nikolas Kather; Johannes Stegmaier; Sven Nebelung; Daniel Truhn (ISBI, 2023)

Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers. - Firas Khader; Johannes Stegmaier; Sven Nebelung; Daniel Truhn (ISBI, 2023)

Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs. - Firas Khader; Gustav Müller-Franzes; Tianyu Han; Sven Nebelung; Christiane Kuhl; Johannes Stegmaier; Daniel Truhn (SASHIMI@MICCAI, 2023)

Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. - Firas Khader; Jakob Nikolas Kather; Tianyu Han; Sven Nebelung; Christiane Kuhl; Johannes Stegmaier; Daniel Truhn (MLMI@MICCAI (2), 2023)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation. - Gustav Müller-Franzes; Fritz Müller-Franzes; Luisa Huck; Vanessa Raaff; Eva Kemmer; Firas Khader; Soroosh Tayebi Arasteh; Teresa Nolte; Jakob Nikolas Kather; Sven Nebelung; Christiane Kuhl; Daniel Truhn (CoRR, 2023)

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. - 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 (CoRR, 2023)

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. - Tianyu Han; Laura Zigutyte; Luisa Huck; Marc Huppertz; Robert Siepmann; Yossi Gandelsman; Christian Blüthgen; Firas Khader; Christiane Kuhl; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2023)

From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology. - 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 (CoRR, 2023)

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction. - Tianyu Han; Sven Nebelung; Firas Khader; Jakob Nikolas Kather; Daniel Truhn (MICCAI (7), 2024)

Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology. - Omar S. M. El Nahhas; Georg Wölflein; Marta Ligero; Tim Lenz; Marko van Treeck; Firas Khader; Daniel Truhn; Jakob Nikolas Kather (MICCAI (4), 2024)

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs. - Patrick Wienholt; Alexander Hermans; Firas Khader; Behrus Puladi; Bastian Leibe; Christiane Kuhl; Sven Nebelung; Daniel Truhn (CoRR, 2024)

Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization. - Firas Khader; Omar S. M. El Nahhas; Tianyu Han; Gustav Müller-Franzes; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2024)

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2. - Gustav Müller-Franzes; Firas Khader; Robert Siepmann; Tianyu Han; Jakob Nikolas Kather; Sven Nebelung; Daniel Truhn (CoRR, 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

Medical large language models are susceptible to targeted misinformation attacks. - Tianyu Han; Sven Nebelung; Firas Khader; Tianci Wang; Gustav Müller-Franzes; Christiane Kuhl; Sebastian Försch; Jens Kleesiek; Christoph Haarburger; Keno K. Bressem; Jakob Nikolas Kather; Daniel Truhn (npj Digit. Medicine, 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

Encrypted federated learning for secure decentralized collaboration in cancer image analysis. - Daniel Truhn; Soroosh Tayebi Arasteh; Oliver Lester Saldanha; Gustav Müller-Franzes; Firas Khader; Philip Quirke; Nicholas P. West; Richard Gray 005; Gordon G. A. Hutchins; Jacqueline A. James; Maurice B. Loughrey; Manuel Salto-Tellez; et al. (Medical Image Anal., 2024)