Publications
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy.
Medical Image Analysis.
(2024).
Understanding metric-related pitfalls in image analysis validation.
Nature Methods.
(2024).
Response to the comment on “The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review”.
International Journal of Oral and Maxillofacial Surgery.
(2024).
Metrics reloaded: recommendations for image analysis validation.
Nature Methods.
(2024).
What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality Continuum.
JMIR XR and Spatial Computing.
(2024).
ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics.
arXiv preprint arXiv:2408.16208.
(2024).
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping.
Computer Methods and Programs in Biomedicine.
(2024).
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Machine Learning in Medical Imaging.
(2024).
Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data.
Artificial Intelligence for Security: Enhancing Protection in a Changing World.
(2024).
CLUE: A Clinical Language Understanding Evaluation for LLMs.
arXiv preprint arXiv:2404.04067.
(2024).
ChatGPT in healthcare: A taxonomy and systematic review.
Computer Methods and Programs in Biomedicine.
(2024).
3D surgical instrument collection for computer vision and extended reality.
Scientific Data.
(2023).
The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review.
International Journal of Oral and Maxillofacial Surgery.
(2023).
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023.
(2023).
Kommentar zu KI – Sarkoidose oder Lymphom? Maschinelles Lernen performt gut.
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.
(2023).
Intraoperative Molecular Positron Emission Tomography Imaging for Intraoperative Assessment of Radical Prostatectomy Specimens.
European Urology Open Science.
(2023).
Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning.
JCO Clinical Cancer Informatics.
(2023).
Challenges for AI Regulation in Health and for Healthcare Organizations: Notes from the University of Florida's NSF-Sponsored Workshop on AI Governance.
ACM SIGBioinformatics Record.
(2023).
Apple Vision Pro for Healthcare: \"The Ultimate Display\"?.
arXiv.
(2023).
Open-source skull reconstruction with MONAI.
SoftwareX.
(2023).
Information extraction from weakly structured radiological reports with natural language queries.
European Radiology.
(2023).
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology.
Computerized Medical Imaging and Graphics.
(2023).
An Opinion on ChatGPT in Health Care—Written by Humans Only.
Journal of Nuclear Medicine.
(2023).
ChatGPT in Healthcare: A Taxonomy and Systematic Review.
medRxiv.
(2023).
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.
arXiv preprint arXiv:2306.17555.
(2023).
The HoloLens in medicine: A systematic review and taxonomy.
Medical Image Analysis.
(2023).
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics.
Investigative Radiology.
(2023).
Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography images.
European Journal of Radiology.
(2023).
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-institutional Patient-based Data Normalization.
IEEE Journal of Biomedical and Health Informatics.
(2023).
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting.
Proceedings of the 57th Hawaii International Conference on System Sciences.
(2023).
FAM: Relative Flatness Aware Minimization.
Topological, Algebraic and Geometric Learning Workshops 2023.
(2023).
Evaluation of thresholding methods for the quantifcation of 68Ga‑PSMA‑11 PET molecular tumor volume and their efect on survival prediction in patients with advanced prostate cancer undergoing 177Lu‑PSMA‑617 radioligand therapy.
European Journal of Nuclear Medicine and Molecular Imaging.
(2023).
Das Netzwerk Universitätsmedizin: Technisch-organisatorische Ansätze für Forschungsdatenplattformen.
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz.
(2023).
Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study.
Investigative Radiology.
(2023).
A web-based radiomics module for image feature extraction for tumor characterization.
Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications.
(2023).
Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancer.
Journal of Cachexia, Sarcopenia and Muscle.
(2022).
Open-Source Skull Reconstruction with MONAI.
arXiv.
(2022).
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding.
33rd British Machine Vision Conference.
(2022).
The HoloLens in Medicine: A systematic Review and Taxonomy.
arXiv.
(2022).
CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients.
Scientific Reports.
(2022).
Deep Learning–driven classification of external DICOM studies for PACS archiving.
European Radiology.
(2022).
Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports.
Radiology: Artificial Intelligence.
(2022).
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?.
European Journal of Nuclear Medicine and Molecular Imaging.
(2022).
Medical Deep Learning – A systematic Meta-Review.
Computer Methods and Programs in Biomedicine.
(2022).
Virtual Biopsy: Just an AI Software or a Medical Procedure?.
Journal of Nuclear Medicine.
(2022).
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.
Proceedings of Machine Learning Research.
(2022).
Radiomics in Head and Neck Cancer Outcome Predictions.
Diagnostics.
(2022).
Introduction to Machine Learning: Definitions and Hybrid Imaging Applications.
Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging.
(2022).
In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders.
Investigative Radiology.
(2022).
Generation of Synthetic Rat Brain MRI Scans with a 3D Enhanced Alpha Generative Adversarial Network.
Applied Sciences.
(2022).
Generation of Synthetic Data: A Generative Adversarial Networks Approach.
Big Data Analytics and Artificial Intelligence in the Healthcare Industry.
(2022).
Fine-tuning BERT Models for Summarizing German Radiology Findings.
The 4th NAACL Clinical Natural Language Processing Workshop.
(2022).
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.
Bildverarbeitung für die Medizin 2022.
(2022).
CODEX Meets RACOON – A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data.
German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable!.
(2022).
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022.
(2022).
Beyond Medical Imaging-A Review of Multimodal Deep Learning in Radiology.
TechRxiv.
(2022).
AIMHI: Protecting Sensitive Data through Federated Co-Training.
Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022).
(2022).
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation.
arXiv:2112.00735 [cs, eess].
(2021).
Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image..
Arteriosclerosis, Thrombosis, and Vascular Biology.
(2021).
The Federated Tumor Segmentation (FeTS) Challenge.
arXiv:2105.05874 [cs, eess].
(2021).
Common Limitations of Image Processing Metrics: A Picture Story.
arXiv:2104.05642 [cs, eess].
(2021).
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data.
npj Digital Medicine.
(2021).
A Relational-learning Perspective to Multi-label Chest X-ray Classification.
ISBI 2021.
(2021).
A web client-based online DICOM browser and NRRD converter for Studierfenster.
Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications.
(2021).
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning.
arXiv preprint arXiv:2110.09974.
(2021).
Towards the Automatization of Cranial Implant Design in Cranioplasty II.
Springer International Publishing.
(2021).
Sparse Convolutional Neural Network for Skull Reconstruction.
Cranial Implant Design Challenge.
(2021).
Relative Flatness and Generalization.
Advances in Neural Information Processing Systems.
(2021).
Radiomics in head and neck cancer.
Computer-Aided Oral and Maxillofacial Surgery.
(2021).
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis.
Cranial Implant Design Challenge.
(2021).
Novelty Detection in Sequential Data by Informed Clustering and Modeling.
arXiv preprint arXiv:2103.03943.
(2021).
Learning to rearrange voxels in binary segmentation masks for smooth manifold triangulation.
Cranial Implant Design Challenge.
(2021).
Künstliche Intelligenz in der onkologischen Radiologie: Ein (P)review.
Der Radiologe.
(2021).
Inside-out instrument tracking for surgical navigation in augmented reality.
Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology.
(2021).
Holographic augmented reality for DIEP flap harvest.
Plastic and reconstructive surgery.
(2021).
Federated Learning from Small Datasets.
arXiv preprint arXiv:2110.03469.
(2021).
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
International Conference on Learning Representations.
(2021).
Deep learning and particle filter-based aortic dissection vessel tree segmentation.
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging.
(2021).
Augmented reality in oral and maxillofacial surgery.
Computer-Aided Oral and Maxillofacial Surgery.
(2021).
Approaches to Uncertainty Quantification in Federated Deep Learning.
International Workshops of ECML PKDD 2021.
(2021).
An online platform for automatic skull defect restoration and cranial implant design.
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling.
(2021).
A patch-based-approach for aortic landmarking.
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging.
(2021).
A cloud-based centerline algorithm for Studierfenster.
Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications.
(2021).
Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs.
Proceedings of the Asian Conference on Computer Vision (ACCV).
(2020).
Joint Imaging Platform for Federated Clinical Data Analytics.
JCO Clinical Cancer Informatics.
(2020).
PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis.
European Journal of Nuclear Medicine and Molecular Imaging.
(2020).
![PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis](/publication/seifert-psma-2020/featured_hueca9e4ba68156cb64bf8a1fb8cd801b5_716803_350x0_resize_q75_h2_lanczos_3.webp)
Semi-automatically quantified tumor volume using Ga-68-PSMA-11-PET as biomarker for survival in patients with advanced prostate cancer.
Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine.
(2020).
Künstliche Intelligenz in der Hybridbildgebung.
Der Radiologe.
(2020).
Wie funktioniert Radiomics?.
Der Radiologe.
(2020).
Wie funktioniert maschinelles Lernen?.
Der Radiologe.
(2020).
Towards the automatization of cranial implant design in cranioplasty.
Cham: Springer.
(2020).
Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung.
Der Onkologe.
(2019).
Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study.
Investigative Radiology.
(2019).
