Marcus R. Makowski

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 31

Top Topics

Interactive Segmentation

Differentially Private

Top Venues

Nat. Mach. Intell.

npj Digit. Medicine

Publications

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 (2024)
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) (2024)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Sebastian Ziegelmayer, Alexander W. Marka, Nicolas Lenhart, Nadja Nehls, Stefan Reischl, Felix Harder, Andreas Sauter, Marcus R. Makowski, Markus Graf, Joshua Gawlitza
Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception. CoRR (2023)
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) (2022)
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)
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)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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 (2021)
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) (2021)
Moritz Knolle, Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis
NeuralDP Differentially private neural networks by design. CoRR (2021)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
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)
Georgios Kaissis, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren
Secure, privacy-preserving and federated machine learning in medical imaging. Nat. Mach. Intell. 2 (6) (2020)
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 (2020)
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 (2020)