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2020 – today
- 2024
[j13]Keno K. Bressem
, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
medBERT.de: A comprehensive German BERT model for the medical domain. Expert Syst. Appl. 237(Part C): 121598 (2024)- [j12]Dennis Fast, Lisa C. Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus R. Makowski, Alexander Löser, Keno K. Bressem:
Autonomous medical evaluation for guideline adherence of large language models. npj Digit. Medicine 7(1) (2024) - [c2]Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel:
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. ISBI 2024: 1-5 - [i18]Felix J. Dorfner, Janis Lucas Vahldiek, Leonhard Donle, Andrei Zhukov, Lina Xu, Hartmut Häntze, Marcus R. Makowski, Hugo J. W. L. Aerts, Fabian Proft, Valeria Rios Rodriguez, Judith Rademacher, Mikhail Protopopov, Hildrun Haibel, Torsten Diekhoff, Murat Torgutalp, Lisa C. Adams, Denis Poddubnyy, Keno K. Bressem:
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection. CoRR abs/2405.07369 (2024) - [i17]Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem:
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data. CoRR abs/2408.13833 (2024) - 2023
- [j11]Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler:
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans. IEEE Access 11: 77596-77607 (2023) - [j10]Felix Busch, Lina Xu, Dmitry Sushko, Matthias Weidlich, Daniel Truhn, Gustav Müller-Franzes, Maurice M. Heimer, Stefan Markus Niehues, Marcus R. Makowski, Markus Hinsche, Janis Lucas Vahldiek, Hugo J. W. L. Aerts, Lisa C. Adams, Keno K. Bressem:
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. Comput. Methods Programs Biomed. 234: 107505 (2023) - [i16]Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis:
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. CoRR abs/2302.01622 (2023) - [i15]Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR abs/2303.08179 (2023) - [i14]Sebastian Ziegelmayer, Alexander W. Marka, Nicolas Lenhart, Nadja Nehls, Stefan Reischl, Felix Harder, Andreas Sauter, Marcus R. Makowski, Markus Graf, Joshua F. Gawlitza:
Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception. CoRR abs/2311.06815 (2023) - [i13]Felix Busch, Tianyu Han, Marcus R. Makowski, Daniel Truhn, Keno K. Bressem, Lisa Adams:
From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties. CoRR abs/2311.14777 (2023) - 2022
- [j9]Lisa C. Adams, Marcus R. Makowski, Günther Engel, Maximilian Rattunde, Felix Busch, Patrick Asbach, Stefan Markus Niehues, Shankeeth Vinayahalingam, Bram van Ginneken, Geert Litjens, Keno K. Bressem:
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Comput. Biol. Medicine 148: 105817 (2022) - [j8]Stefanie Beck, Laurenz Jahn, Dominik Deniffel, Isabelle Riederer, Andreas Sauter, Marcus R. Makowski, Daniela Pfeiffer:
Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values. J. Digit. Imaging 35(6): 1738-1747 (2022) - [j7]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j6]Jonathan K. Stelter, Christof Boehm, Stefan Ruschke, Kilian Weiss, Maximilian N. Diefenbach, Mingming Wu, Tabea Borde, Georg P. Schmidt, Marcus R. Makowski, Eva M. Fallenberg, Dimitrios C. Karampinos:
Hierarchical Multi-Resolution Graph-Cuts for Water-Fat-Silicone Separation in Breast MRI. IEEE Trans. Medical Imaging 41(11): 3253-3265 (2022) - [c1]Francesca De Benetti, Verena Bentele, Egon Burian, Marcus R. Makowski, Nassir Navab, Rickmer Braren, Thomas Wendler:
Longitudinal Analysis of Disease Progression Using Image and Laboratory Data for Covid-19 Patients. Bildverarbeitung für die Medizin 2022: 179-184 - [i12]Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus R. Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim:
Longitudinal Self-Supervision for COVID-19 Pathology Quantification. CoRR abs/2203.10804 (2022) - [i11]Lisa C. Adams, Felix Busch, Daniel Truhn, Marcus R. Makowski, Hugo J. W. L. Aerts, Keno K. Bressem:
What Does DALL-E 2 Know About Radiology? CoRR abs/2209.13696 (2022) - 2021
- [j5]Keno K. Bressem, Lisa C. Adams, Robert A. Gaudin, Daniel Tröltzsch, Bernd Hamm, Marcus R. Makowski, Chan-Yong Schüle, Janis Lucas Vahldiek, Stefan Markus Niehues:
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. Bioinform. 36(21): 5255-5261 (2021) - [j4]Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren:
End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nat. Mach. Intell. 3(6): 473-484 (2021) - [j3]Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach:
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning. Nat. Mach. Intell. 3(9): 749-758 (2021) - [j2]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [i10]Keno K. Bressem, Stefan Markus Niehues, Bernd Hamm, Marcus R. Makowski, Janis Lucas Vahldiek, Lisa C. Adams:
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware. CoRR abs/2101.09976 (2021) - [i9]Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis:
Differentially private federated deep learning for multi-site medical image segmentation. CoRR abs/2107.02586 (2021) - [i8]Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis:
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation. CoRR abs/2107.04265 (2021) - [i7]Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis:
Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty. CoRR abs/2107.04296 (2021) - [i6]Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler:
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. CoRR abs/2108.00860 (2021) - [i5]Markus Krönke, Christine Eilers, Desislava Dimova, Melanie Köhler, Gabriel Buschner, Lilit Mirzojan, Lemonia Konstantinidou, Marcus R. Makowski, James Nagarajah, Nassir Navab, Wolfgang Weber, Thomas Wendler:
Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry. CoRR abs/2108.10118 (2021) - [i4]Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler:
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans. CoRR abs/2110.00948 (2021) - [i3]Manuel Schultheiss, Philipp Schmette, Thorsten Sellerer, Rafael Schick, Kirsten Alexandra Taphorn, Korbinian Mechlem, Lorenz Birnbacher, Bernhard Renger, Marcus R. Makowski, Franz Pfeiffer, Daniela Pfeiffer:
Per-Pixel Lung Thickness and Lung Capacity Estimation on Chest X-Rays using Convolutional Neural Networks. CoRR abs/2110.12509 (2021) - 2020
- [j1]Georgios Kaissis, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren:
Secure, privacy-preserving and federated machine learning in medical imaging. Nat. Mach. Intell. 2(6): 305-311 (2020) - [i2]Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren:
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction. CoRR abs/2009.00872 (2020) - [i1]Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis:
Privacy-preserving medical image analysis. CoRR abs/2012.06354 (2020)
Coauthor Index
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