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Daniel Truhn
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2020 – today
- 2023
- [i13]Sophia J. Wagner, Daniel Reisenbüchler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike Irmgard Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman, Tanwei Yuan, Rupert Langer, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather:
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR abs/2301.09617 (2023) - [i12]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) - [i11]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, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - 2022
- [j3]Felix Duong, Michael Gadermayr, Dorit Merhof, Christiane Kuhl, Philipp Bruners, Sven H. Loosen, Christoph Roderburg, Daniel Truhn, Maximilian F. Schulze-Hagen
:
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. 17(2): 355-361 (2022) - [j2]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle
, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu
, Christian Trautwein, Rupert Langer
, Bastian Dislich, Roman David Bülow
, Heike Irmgard Grabsch, Hermann Brenner
, Jenny Chang-Claude, Elizabeth Alwers
, Titus J. Brinker
, Firas Khader, Daniel Truhn, Nadine T. Gaisa
, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - [j1]Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker
, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
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) - [c13]Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, Dorit Merhof:
Monoplanar CT Reconstruction with GANs. IPTA 2022: 1-6 - [i10]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) - [i9]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, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR abs/2211.03364 (2022) - [i8]Soroosh Tayebi Arasteh
, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, Christiane Kuhl, Sven Nebelung, Daniel Truhn:
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. CoRR abs/2211.13606 (2022) - [i7]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:
Diffusion Probabilistic Models beat GANs on Medical Images. CoRR abs/2212.07501 (2022) - [i6]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:
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR abs/2212.09162 (2022) - 2021
- [c12]Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess:
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI 2021: 1182-1186 - [i5]Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn:
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR abs/2111.11439 (2021) - 2020
- [c11]Marcin Kopaczka, Richard Lindenpütz, Daniel Truhn, Maximilian Schulze-Hagen
, Dorit Merhof:
Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans. Bildverarbeitung für die Medizin 2020: 55-60 - [c10]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI 2020: 1188-1192 - [c9]Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung, Dorit Merhof:
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. ShapeMI@MICCAI 2020: 85-94 - [c8]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 - [i4]Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess:
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. CoRR abs/2004.11001 (2020) - [i3]Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn:
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. CoRR abs/2011.13011 (2020)
2010 – 2019
- 2019
- [c7]Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof:
Prediction of Liver Function Based on DCE-CT. Bildverarbeitung für die Medizin 2019: 8-13 - [c6]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. MICCAI (4) 2019: 495-503 - [c5]Christoph Haarburger, Nicolas Horst, Daniel Truhn
, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. VCBM 2019: 11-15 - [i2]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. CoRR abs/1906.06058 (2019) - [i1]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR abs/1910.05693 (2019) - 2018
- [c4]Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl
, Dorit Merhof:
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images. Bildverarbeitung für die Medizin 2018: 216-221 - [c3]Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl
, Dorit Merhof:
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. ISBI 2018: 826-830
2000 – 2009
- 2008
- [c2]Matthias Mühlich, Daniel Truhn, Kerstin Nagel, Achim Walter, Hanno Scharr
, Til Aach:
Measuring Plant Root Growth. DAGM-Symposium 2008: 497-506 - 2007
- [c1]Thomas Stehle, Daniel Truhn, Til Aach, Christian Trautwein, Jens J. W. Tischendorf:
Camera Calibration for Fish-Eye Lenses en Endoscopy with an Application to 3d Reconstruction. ISBI 2007: 1176-1179
Coauthor Index
aka: Christiane K. Kuhl

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