Klaus H. Maier-Hein

Jens Kleesiek

Marco Nolden

CoRR, 2024

Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing predictive imaging biomarker discovery through treatment effect analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.

[BibT_eX]

[DOI]

CoRR, 2024

Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain.

[BibT_eX]

[DOI]

CoRR, 2024

Automatic classification of prostate MR series type using image content and metadata.

[BibT_eX]

[DOI]

Christopher P. Bridge

Tina Kapur

Andrey Fedorov

CoRR, 2024

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Pre-examinations Improve Automated Metastases Detection on Cranial MRI.

[BibT_eX]

[DOI]

Katerina Deike-Hofmann

Dorottya Dancs

Daniel Paech

CoRR, 2024

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology.

[BibT_eX]

[DOI]

CoRR, 2024

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Mitigating False Predictions in Unreasonable Body Regions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images.

[BibT_eX]

[DOI]

David Zimmerer

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Object Detection for Breast Diffusion-weighted Imaging.

[BibT_eX]

[DOI]

Oyunbileg von Stackelberg

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

[BibT_eX]

[DOI]

Patrick Bilic

Patrick Ferdinand Christ

Gabriel Efrain Humpire Mamani

Michal Marianne Amitai

Krishna Chaitanya Kaluva

Tomasz K. Konopczynski

Avinash Kori

Ganapathy Krishnamurthi

Kevis-Kokitsi Maninis

Medical Image Anal., 2023

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

[BibT_eX]

[DOI]

CoRR, 2023

Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency.

[BibT_eX]

[DOI]

CoRR, 2023

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.

[BibT_eX]

[DOI]

CoRR, 2023

Transformer Utilization in Medical Image Segmentation Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

[BibT_eX]

[DOI]

Doreen Heckmann-Nötzel

Evangelia Christodoulou

Alexandros Karargyris

Alan Karthikesalingam

Sotirios A. Tsaftaris

CoRR, 2023

[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT.

[BibT_eX]

[DOI]

Karol Gotkowski

Shuvam Gupta

Jose R. A. Godinho

Camila G. S. Tochtrop

CoRR, 2023

CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.

[BibT_eX]

[DOI]

CoRR, 2023

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

MultiTalent: A Multi-dataset Approach to Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shape-Based Pose Estimation for Automatic Standard Views of the Knee.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.

[BibT_eX]

[DOI]

Andreas Michael Bucher

Tobias Penzkofer

Oyunbileg von Stackelberg

Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

RPTK: The Role of Feature Computation on Prediction Performance.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Why is the Winner the Best?

[BibT_eX]

[DOI]

Matthias Eisenmann

Annika Reinke

Vivienn Weru

Minu Dietlinde Tizabi

Jonathan Rafael-Patino

Vivek Singh Bawa

Stefanie Speidel

Carole H. Sudre

Kimberlin M. H. van Wijnen

Christoph M. Friedrich

Maria Grammatikopoulou

S. Hong

Mostafa Jahanifar

I. Jang

Abdolrahim Kadkhodamohammadi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Contrastive Representations for Unsupervised Anomaly Detection and Localization.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Extending nnU-Net Is All You Need.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Taming Detection Transformers for Medical Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.

[BibT_eX]

[DOI]

Mohammad Zalbagi Darestani

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

C-arm positioning for standard projections during spinal implant placement.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

MONAI: An open-source framework for deep learning in healthcare.

[BibT_eX]

[DOI]

Jayashree Kalpathy-Cramer

CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.

[BibT_eX]

[DOI]

Annika Reinke

Evangelia Christodoulou

Doreen Heckmann-Nötzel

A. Emre Kavur

Tim Rädsch

Minu Dietlinde Tizabi

Alexandros Karargyris

Alan Karthikesalingam

Hannes Kenngott

Clarisa Sánchez Gutiérrez

Sotirios A. Tsaftaris

Ben Van Calster

Gaël Varoquaux

Paul F. Jäger

CoRR, 2022

Federated Learning Enables Big Data for Rare Cancer Boundary Detection.

[BibT_eX]

[DOI]

CoRR, 2022

A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation.

[BibT_eX]

[DOI]

Gregor Köhler

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana.

[BibT_eX]

[DOI]

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Accurate Detection of Mediastinal Lesions with nnDetection.

[BibT_eX]

[DOI]

Michael Baumgartner

Peter M. Full

Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding.

[BibT_eX]

[DOI]

Constantin Marc Seibold

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Unsupervised Anomaly Detection in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Efficient DICOM Image Tagging and Cohort Curation Within Kaapana.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: nnDetection - A Self-configuring Method for Medical Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

[BibT_eX]

[DOI]

NeuroImage, 2021

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data.

[BibT_eX]

[DOI]

CoRR, 2021

The Federated Tumor Segmentation (FeTS) Challenge.

[BibT_eX]

[DOI]

CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.

[BibT_eX]

[DOI]

CoRR, 2021

Analyzing magnetic resonance imaging data from glioma patients using deep learning.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2021

Computer-assisted contralateral side comparison of the ankle joint using flat panel technology.

[BibT_eX]

[DOI]

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

IJCARS: BVM 2021 special issue.

[BibT_eX]

[DOI]

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

Correction to: Toward automatic C‑arm positioning for standard projections in orthopedic surgery.

[BibT_eX]

[DOI]

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

GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Automatic image-based pedicle screw planning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Continuous-Time Deep Glioma Growth Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

nnDetection: A Self-configuring Method for Medical Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Abstract: Joint Imaging Platform for Federated Clinical Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Towards Automatic C-arm Positioning for Standard Projections in Orthopedic Surgery.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it.

[BibT_eX]

[DOI]

Michael Götz

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

The future of digital health with federated learning.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Medical Instrument Segmentation Challenge 2019.

[BibT_eX]

[DOI]

CoRR, 2020

Toward automatic C-arm positioning for standard projections in orthopedic surgery.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2020

Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

nnU-Net for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders.

[BibT_eX]

[DOI]

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

Abstract: Deep Probabilistic Modeling of Glioma Growth.

[BibT_eX]

[DOI]

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

Abstract: MITK-ModelFit.

[BibT_eX]

[DOI]

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

2019

Simulated dMRI images and ground truth of random fiber phantoms in various configurations.

[BibT_eX]

[DOI]

Dataset, January, 2019

Bundle-specific tractography with incorporated anatomical and orientational priors.

[BibT_eX]

[DOI]

Nathalie Tzourio-Mazoyer

Laurent Petit

NeuroImage, 2019

Combined tract segmentation and orientation mapping for bundle-specific tractography.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.

[BibT_eX]

[DOI]

CoRR, 2019

A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients.

[BibT_eX]

[DOI]

CoRR, 2019

ModelHub.AI: Dissemination Platform for Deep Learning Models.

[BibT_eX]

[DOI]

CoRR, 2019

High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection.

[BibT_eX]

[DOI]

David Zimmerer

Jens Petersen

CoRR, 2019

An attempt at beating the 3D U-Net.

[BibT_eX]

[DOI]

Bernardino Romera-Paredes

CoRR, 2019

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.

[BibT_eX]

[DOI]

Simon A. A. Kohl

Danilo Jimenez Rezende

CoRR, 2019

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Automated brain extraction of multi-sequence MRI using artificial neural networks.

[BibT_eX]

[DOI]

Sabine Heiland

CoRR, 2019

Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison.

[BibT_eX]

[DOI]

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

IJCARS: BVM 2019 special issue.

[BibT_eX]

[DOI]

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

Guest editorial of the IJCARS - BVM 2018 special issue.

[BibT_eX]

[DOI]

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

Automatic bone segmentation in whole-body CT images.

[BibT_eX]

[DOI]

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

MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.

[BibT_eX]

[DOI]

Paul F. Jaeger

Simon A. A. Kohl

Tristan Anselm Kuder

Proceedings of the Machine Learning for Health Workshop, 2019

Unsupervised Anomaly Localization Using Variational Auto-Encoders.

[BibT_eX]

[DOI]

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

Reg R-CNN: Lesion Detection and Grading Under Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Deep Probabilistic Modeling of Glioma Growth.

[BibT_eX]

[DOI]

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

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography.

[BibT_eX]

[DOI]

Jakob Wasserthal

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

Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.

[BibT_eX]

[DOI]

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

Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives.

[BibT_eX]

[DOI]

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

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

[BibT_eX]

[DOI]

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

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

TractSeg - Fast and accurate white matter tract segmentation.

[BibT_eX]

[DOI]

Jakob Wasserthal

Peter Neher

NeuroImage, 2018

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2018

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.

[BibT_eX]

[DOI]

CoRR, 2018

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

[BibT_eX]

[DOI]

Bernardino Romera-Paredes

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

A Probabilistic U-Net for Segmentation of Ambiguous Images.

[BibT_eX]

[DOI]

Simon Kohl

Danilo Jimenez Rezende

Olaf Ronneberger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tract Orientation Mapping for Bundle-Specific Tractography.

[BibT_eX]

[DOI]

Jakob Wasserthal

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

Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives.

[BibT_eX]

[DOI]

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

Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images.

[BibT_eX]

[DOI]

Jennifer Kamphenkel

Paul F. Jäger

Franziska König

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

No New-Net.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed.

[BibT_eX]

[DOI]

Daniel S. Elson

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren.

[BibT_eX]

[DOI]

Dominik Waibel

Janek Gröhl

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Towards Whole-body CT Bone Segmentation.

[BibT_eX]

[DOI]

André Klein

Jan Warszawski

Jens Hillengaß

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Advanced Deep Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

[BibT_eX]

[DOI]

Paul Jaeger

Franziska Steudle

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Tractography Challenge ISMRM 2015 b=3000s/mm² Data.

[BibT_eX]

[DOI]

Dataset, October, 2017

3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection.

[BibT_eX]

[DOI]

Tobias Norajitra

IEEE Trans. Medical Imaging, 2017

Fiber tractography using machine learning.

[BibT_eX]

[DOI]

Marc-Alexandre Côté

NeuroImage, 2017

MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.

[BibT_eX]

[DOI]

Rafal Tarnawski

Joanna Polanska

Inf. Sci., 2017

Adversarial Networks for Prostate Cancer Detection.

[BibT_eX]

[DOI]

Simon Kohl

David Bonekamp

CoRR, 2017

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

[BibT_eX]

[DOI]

CoRR, 2017

Direct White Matter Bundle Segmentation using Stacked U-Nets.

[BibT_eX]

[DOI]

CoRR, 2017

Adversarial Networks for the Detection of Aggressive Prostate Cancer.

[BibT_eX]

[DOI]

Simon Kohl

David Bonekamp

CoRR, 2017

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer.

[BibT_eX]

[DOI]

Paul Jaeger

Franziska Steudle

CoRR, 2017

Physiological Parameter Estimation from Multispectral Images Unleashed.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learn to Track: Deep Learning for Tractography.

[BibT_eX]

[DOI]

Philippe Poulin

Marc-Alexandre Côté

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

[BibT_eX]

[DOI]

Paul F. Jaeger

Franziska Steudle

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Effective user guidance in online interactive semantic segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

David Bonekamp

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Training mit positiven und unannotierten Daten für automatische Voxelklassifikation.

[BibT_eX]

[DOI]

Michael Götz

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI.

[BibT_eX]

[DOI]

Jan Hering

Ivo Wolf

IEEE Trans. Medical Imaging, 2016

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.

[BibT_eX]

[DOI]

NeuroImage, 2016

A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015

Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation.

[BibT_eX]

[DOI]

Tobias Norajitra

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.

[BibT_eX]

Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Überwachtes Lernen zur Prädiktion von Tumorwachstum.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014

Methodological considerations on tract-based spatial statistics (TBSS).

[BibT_eX]

[DOI]

NeuroImage, 2014

Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2014

Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images.

[BibT_eX]

[DOI]

Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Active shape models incorporating isolated landmarks for medical image annotation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

The Estimation of Free-Water Corrected Diffusion Tensors.

[BibT_eX]

[DOI]

Ofer Pasternak

Christian F. Baumgartner

Martha Elizabeth Shenton

Yogesh Rathi

Carl-Fredrik Westin

Proceedings of the Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014

2013

The Medical Imaging Interaction Toolkit: challenges and advances.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2013

Model-Based Super-Resolution of Diffusion MRI.

[BibT_eX]

[DOI]

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms.

[BibT_eX]

[DOI]

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Global Changes in the Connectome in Autism Spectrum Disorders.

[BibT_eX]

[DOI]

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012

MITK global tractography.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012

2011

Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

2010

Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging?

[BibT_eX]

[DOI]

NeuroImage, 2010

The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK).

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2010

Automated MR morphometry to predict Alzheimer's disease in mild cognitive impairment.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2010

Directional assessment of fiber integrity in Q-ball imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Image Processing, 2010

The MITK image guided therapy toolkit and its application for augmented reality in laparoscopic prostate surgery.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Visualization, 2010

MITK-DI.

[BibT_eX]

[DOI]

Klaus H. Fritzsche