Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making.

[BibT_eX]

[DOI]

Jonas Ammeling

Carina Manger

Proceedings of the Mensch und Computer 2023, 2023

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples.

[BibT_eX]

[DOI]

Luis Carlos Rivera Monroy

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.

[BibT_eX]

[DOI]

Stephanie Mehltretter

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays.

[BibT_eX]

[DOI]

Christoph Brochhausen-Delius

Christian Schulz

Katharina Breininger

Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.

[BibT_eX]

[DOI]

CoRR, 2022

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling.

[BibT_eX]

[DOI]

CoRR, 2022

Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset.

[BibT_eX]

[DOI]

CoRR, 2022

PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis.

[BibT_eX]

[DOI]

Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022

Direct and indirect image rotation estimation methods of orthopedic x-ray images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Image Processing, 2022

A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge.

[BibT_eX]

[DOI]

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair (Maschinelles Lernen und Deformationsmodellierung zur Workflow-kompatiblen Bildfusion für endovaskuläre Aortenreparaturen)

[BibT_eX]

[DOI]

Katharina Breininger

PhD thesis, 2021

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge.

[BibT_eX]

[DOI]

Frauke Wilm

Katharina Breininger

Marc Aubreville

CoRR, 2021

Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens.

[BibT_eX]

[DOI]

CoRR, 2021

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images.

[BibT_eX]

[DOI]

CoRR, 2021

"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Iterative Cross-Scanner Registration for Whole Slide Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Quad-Tree based Registration on Whole Slide Images.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Automatic and explainable grading of meningiomas from histopathology images.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Automatic CAD-RADS Scoring using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors.

[BibT_eX]

[DOI]

Christof A. Bertram

Taryn A. Donovan

Marco Tecilla

Florian Bartenschlager

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic CAD-RADS Scoring Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Degenerating U-Net on Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Bildanalyse.

[BibT_eX]

[DOI]

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2019

What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

Projection image-to-image translation in hybrid x-ray/MR imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Left ventricle segmentation in LGE-MRI using multiclass learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

A Divide-and-Conquer Approach Towards Understanding Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Srinivas Ananth Narayan

Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

Projection image-to-image translation in hybrid X-ray/MR imaging.

[BibT_eX]

[DOI]

CoRR, 2018

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2018

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests.

[BibT_eX]