Publications

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrich Ferndinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin H. Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Santos, Mariana Lindo, André Filipe de Sousa Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Bjoern Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek, Jan Egger
A web-based radiomics module for image feature extraction for tumor characterization
GAN-based generation of realistic 3D data: A systematic review and taxonomy
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
Virtual Biopsy: Just an AI Software or a Medical Procedure?
Sparse Convolutional Neural Networks for Medical Image Analysis
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform
Generation of Synthetic Rat Brain MRI Scans with a 3D Enhanced Alpha Generative Adversarial Network
Generation of Synthetic Data: A Generative Adversarial Networks Approach
Beyond Medical Imaging-A Review of Multimodal Deep Learning in Radiology
AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image.
CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism
Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions
Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives
The Federated Tumor Segmentation (FeTS) Challenge
Common Limitations of Image Processing Metrics: A Picture Story
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
A Relational-learning Perspective to Multi-label Chest X-ray Classification
A web client-based online DICOM browser and NRRD converter for Studierfenster
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning
Towards the Automatization of Cranial Implant Design in Cranioplasty II
Synthetic skull bone defects for automatic patient-specific craniofacial implant design
Sparse Convolutional Neural Network for Skull Reconstruction
SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
Relative Flatness and Generalization
Radiomics in head and neck cancer
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis
Novelty Detection in Sequential Data by Informed Clustering and Modeling
MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants
MOMO--Deep Learning-driven classification of external DICOM studies for PACS archivation
Medical image segmentation in oral-maxillofacial surgery
Learning to rearrange voxels in binary segmentation masks for smooth manifold triangulation
Künstliche Intelligenz in der onkologischen Radiologie: Ein (P)review
Inside-out instrument tracking for surgical navigation in augmented reality
Holographic augmented reality for DIEP flap harvest
Federated Learning from Small Datasets
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Effects of Pre-Operative Risk Factors on Intensive Care Unit Length of Stay (ICU-LOS) in Major Oral and Maxillofacial Cancer Surgery
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Deep learning and particle filter-based aortic dissection vessel tree segmentation
Deep learning and generative adversarial networks in oral and maxillofacial surgery
Automatic skull defect restoration and cranial implant generation for cranioplasty
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
AutoImplant 2020-first MICCAI challenge on automatic cranial implant design
Augmented reality in oral and maxillofacial surgery
Approaches to Uncertainty Quantification in Federated Deep Learning
An online platform for automatic skull defect restoration and cranial implant design
Ai-based aortic vessel tree segmentation for cardiovascular diseases treatment: status quo
A review on patient-specific facial and cranial implant design using Artificial Intelligence (AI) techniques
A patch-based-approach for aortic landmarking
A cloud-based centerline algorithm for Studierfenster
Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs
Joint Imaging Platform for Federated Clinical Data Analytics
Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Michael Bach, Oliver Sedlaczek, Andreas M. Bucher, Thomas J. Vogl, Frank Grünwald, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Jörg Kotzerke, Oliver Bethge, Lars Schimmöller, Gerald Antoch, Hans-Wilhelm Müller, Andreas Daul, Konstantin Nikolaou, Christian la Fougère, Wolfgang G. Kunz, Michael Ingrisch, Balthasar Schachtner, Jens Ricke, Peter Bartenstein, Felix Nensa, Alexander Radbruch, Lale Umutlu, Michael Forsting, Robert Seifert, Ken Herrmann, Philipp Mayer, Hans-Ulrich Kauczor, Tobias Penzkofer, Bernd Hamm, Winfried Brenner, Roman Kloeckner, Christoph Düber, Mathias Schreckenberger, Rickmer Braren, Georgios Kaissis, Marcus Makowski, Matthias Eiber, Andrei Gafita, Rupert Trager, Wolfgang A. Weber, Jakob Neubauer, Marco Reisert, Michael Bock, Fabian Bamberg, Jürgen Hennig, Philipp Tobias Meyer, Juri Ruf, Uwe Haberkorn, Stefan O. Schoenberg, Tristan Kuder, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus Maier-Hein
PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis
Semi-automatically quantified tumor volume using Ga-68-PSMA-11-PET as biomarker for survival in patients with advanced prostate cancer
Künstliche Intelligenz in der Hybridbildgebung
Wie funktioniert Radiomics?
Wie funktioniert maschinelles Lernen?
Towards the automatization of cranial implant design in cranioplasty
Analysis of PSMA expression and outcome in patients with advanced Prostate Cancer receiving $^textrm177$ Lu-PSMA-617 Radioligand Therapy
Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung
Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study