Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

Authors: Müller-Franzes, Gustav, Khader, Firas, Siepmann, Robert, Han, Tianyu, Kather, Jakob Nikolas, Nebelung, Sven, Truhn, Daniel

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2411.15802

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

Authors: Han, Tianyu, Nebelung, Sven, Khader, Firas, Kather, Jakob Nikolas, Truhn, Daniel

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2406.16983

Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization

Authors: Khader, Firas, Nahhas, Omar S. M. El, Han, Tianyu, Müller-Franzes, Gustav, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2406.01314

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

Authors: Khader, Firas, Muller-Franzes, Gustav, Arasteh, Soroosh Tayebi, Han, Tianyu, Kather, Jakob Nikolas, Stegmaier, Johannes, Nebelung, Sven, Truhn, Daniel

Source: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2023 IEEE 20th International Symposium on. :1-5 Apr, 2023

Relation: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers

Authors: Khader, Firas, Stegmaier, Johannes, Nebelung, Sven, Truhn, Daniel

Source: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2023 IEEE 20th International Symposium on. :1-4 Apr, 2023

Relation: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report

Authors: Huijben, Evi M. C., Terpstra, Maarten L., Galapon, Arthur Jr., Pai, Suraj, Thummerer, Adrian, Koopmans, Peter, Afonso, Manya, van Eijnatten, Maureen, Gurney-Champion, Oliver, Chen, Zeli, Zhang, Yiwen, Zheng, Kaiyi, Li, Chuanpu, Pang, Haowen, Ye, Chuyang, Wang, Runqi, Song, Tao, Fan, Fuxin, Qiu, Jingna, Huang, Yixing, Ha, Juhyung, Park, Jong Sung, Alain-Beaudoin, Alexandra, Bériault, Silvain, Yu, Pengxin, Guo, Hongbin, Huang, Zhanyao, Li, Gengwan, Zhang, Xueru, Fan, Yubo, Liu, Han, Xin, Bowen, Nicolson, Aaron, Zhong, Lujia, Deng, Zhiwei, Müller-Franzes, Gustav, Khader, Firas, Li, Xia, Zhang, Ye, Hémon, Cédric, Boussot, Valentin, Zhang, Zhihao, Wang, Long, Bai, Lu, Wang, Shaobin, Mus, Derk, Kooiman, Bram, Sargeant, Chelsea A. H., Henderson, Edward G. A., Kondo, Satoshi, Kasai, Satoshi, Karimzadeh, Reza, Ibragimov, Bulat, Helfer, Thomas, Dafflon, Jessica, Chen, Zijie, Wang, Enpei, Perko, Zoltan, Maspero, Matteo

Subject Terms: Physics - Medical Physics

Access URL: http://arxiv.org/abs/2403.08447

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Authors: Nahhas, Omar S. M. El, Wölflein, Georg, Ligero, Marta, Lenz, Tim, van Treeck, Marko, Khader, Firas, Truhn, Daniel, Kather, Jakob Nikolas

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.03891

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs

Authors: Wienholt, Patrick, Hermans, Alexander, Khader, Firas, Puladi, Behrus, Leibe, Bastian, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2402.05685

From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology

Authors: Nahhas, Omar S. M. El, van Treeck, Marko, Wölflein, Georg, Unger, Michaela, Ligero, Marta, Lenz, Tim, Wagner, Sophia J., Hewitt, Katherine J., Khader, Firas, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2312.10944

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining

Authors: Han, Tianyu, Žigutytė, Laura, Huck, Luisa, Huppertz, Marc, Siepmann, Robert, Gandelsman, Yossi, Blüthgen, Christian, Khader, Firas, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob, Truhn, Daniel

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2309.17123

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks

Authors: Han, Tianyu, Nebelung, Sven, Khader, Firas, Wang, Tianci, Mueller-Franzes, Gustav, Kuhl, Christiane, Försch, Sebastian, Kleesiek, Jens, Haarburger, Christoph, Bressem, Keno K., Kather, Jakob Nikolas, Truhn, Daniel

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society

Access URL: http://arxiv.org/abs/2309.17007

Elevating Fundoscopic Evaluation to Expert Level - Automatic Glaucoma Detection Using Data from the Airogs Challenge

Authors: Khader, Firas, Haarburger, Christoph, Kirr, Jorg-Christian, Menke, Marcel, Kather, Jakob Nikolas, Stegmaier, Johannes, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel

Source: 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC) Biomedical Imaging Challenges (ISBIC), 2022 IEEE International Symposium on. :1-4 Mar, 2022

Relation: 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC)

Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers

Authors: Khader, Firas, Kather, Jakob Nikolas, Han, Tianyu, Nebelung, Sven, Kuhl, Christiane, Stegmaier, Johannes, Truhn, Daniel

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2305.06963

Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs

Authors: Khader, Firas, Müller-Franzes, Gustav, Han, Tianyu, Nebelung, Sven, Kuhl, Christiane, Stegmaier, Johannes, Truhn, Daniel

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2305.06965

Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers -- A multi-institutional evaluation

Authors: Müller-Franzes, Gustav, Müller-Franzes, Fritz, Huck, Luisa, Raaff, Vanessa, Kemmer, Eva, Khader, Firas, Arasteh, Soroosh Tayebi, Nolte, Teresa, Kather, Jakob Nikolas, Nebelung, Sven, Kuhl, Christiane, Truhn, Daniel

Source: Sci Rep 13, 14207 (2023)

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2304.08972

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

Authors: de Vente, Coen, Vermeer, Koenraad A., Jaccard, Nicolas, Wang, He, Sun, Hongyi, Khader, Firas, Truhn, Daniel, Aimyshev, Temirgali, Zhanibekuly, Yerkebulan, Le, Tien-Dung, Galdran, Adrian, Ballester, Miguel Ángel González, Carneiro, Gustavo, G, Devika R, S, Hrishikesh P, Puthussery, Densen, Liu, Hong, Yang, Zekang, Kondo, Satoshi, Kasai, Satoshi, Wang, Edward, Durvasula, Ashritha, Heras, Jónathan, Zapata, Miguel Ángel, Araújo, Teresa, Aresta, Guilherme, Bogunović, Hrvoje, Arikan, Mustafa, Lee, Yeong Chan, Cho, Hyun Bin, Choi, Yoon Ho, Qayyum, Abdul, Razzak, Imran, van Ginneken, Bram, Lemij, Hans G., Sánchez, Clara I.

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2302.01738

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

Authors: Khader, Firas, Mueller-Franzes, Gustav, Wang, Tianci, Han, Tianyu, Arasteh, Soroosh Tayebi, Haarburger, Christoph, Stegmaier, Johannes, Bressem, Keno, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2212.09162

Diffusion Probabilistic Models beat GANs on Medical Images

Authors: Müller-Franzes, Gustav, Niehues, Jan Moritz, Khader, Firas, Arasteh, Soroosh Tayebi, Haarburger, Christoph, Kuhl, Christiane, Wang, Tianci, Han, Tianyu, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel

Source: Sci Rep 13, 12098 (2023)

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2212.07501

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels

Authors: Arasteh, Soroosh Tayebi, Isfort, Peter, Saehn, Marwin, Mueller-Franzes, Gustav, Khader, Firas, Kather, Jakob Nikolas, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel

Source: Sci Rep 13, 6046 (2023)

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2211.13606

Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Authors: Khader, Firas, Mueller-Franzes, Gustav, Arasteh, Soroosh Tayebi, Han, Tianyu, Haarburger, Christoph, Schulze-Hagen, Maximilian, Schad, Philipp, Engelhardt, Sandy, Baessler, Bettina, Foersch, Sebastian, Stegmaier, Johannes, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2211.03364