Bjoern H. Menze

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Hao Chen
339 publications
Daniel Rueckert
199 publications
Pheng-Ann Heng
141 publications
Stephan Günnemann
100 publications
Qi Dou
97 publications
Wei-Shi Zheng
76 publications
Xiaojuan Qi
71 publications
Bennett A. Landman
71 publications
Xiang Li
70 publications
Danail Stoyanov
68 publications
Chi-Wing Fu
64 publications

research

∙ 07/31/2023

Framing image registration as a landmark detection problem for better representation of clinical relevance

Nowadays, registration methods are typically evaluated based on sub-reso...

0 Diana Waldmannstetter, et al. ∙

research

∙ 05/30/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Gliomas are the most common type of primary brain tumors. Although gliom...

0 Maruf Adewole, et al. ∙

research

∙ 04/04/2023

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration

Even though simultaneous optimization of similarity metrics represents a...

0 Diana Waldmannstetter, et al. ∙

research

∙ 07/22/2022

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Optical coherence tomography angiography (OCTA) can non-invasively image...

0 Martin J. Menten, et al. ∙

research

∙ 03/01/2022

A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning

Automatic localization and segmentation of organs-at-risk (OAR) in CT ar...

10 Fernando Navarro, et al. ∙

research

∙ 10/24/2021

A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images

Collateral circulation results from specialized anastomotic channels whi...

5 Giles Tetteh, et al. ∙

research

∙ 09/03/2021

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations

Fast and accurate solutions of time-dependent partial differential equat...

4 Suprosanna, et al. ∙

research

∙ 08/30/2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)

Biological neural networks define the brain function and intelligence of...

38 Johannes C. Paetzold, et al. ∙

research

∙ 05/14/2021

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging

Self-supervision has demonstrated to be an effective learning strategy w...

16 Fernando Navarro, et al. ∙

research

∙ 04/22/2021

METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy

Novel multimodal imaging methods are capable of generating extensive, su...

7 Izabela Horvath, et al. ∙

research

∙ 03/10/2021

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

In this study, we explore quantitative correlates of qualitative human e...

29 Florian Kofler, et al. ∙

research

∙ 08/18/2020

Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection

Osteoporotic vertebral fractures have a severe impact on patients' overa...

1 Malek Husseini, et al. ∙

research

∙ 05/11/2020

Deep Reinforcement Learning for Organ Localization in CT

Robust localization of organs in computed tomography scans is a constant...

0 Fernando Navarro, et al. ∙

research

∙ 03/16/2020

clDice – a Topology-Preserving Loss Function for Tubular Structure Segmentation

Accurate segmentation of tubular, network-like structures, such as vesse...

18 Suprosanna, et al. ∙

research

∙ 07/22/2019

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis

We propose an auto-encoding network architecture for point clouds (PC) c...

0 Anjany Sekuboyina, et al. ∙

research

∙ 07/01/2019

Cross-view Relation Networks for Mammogram Mass Detection

Mammogram is the most effective imaging modality for the mass lesion det...

0 Jiechao Ma, et al. ∙

research

∙ 02/06/2019

Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations

Robust localisation and identification of vertebrae, jointly termed vert...

0 Anjany Sekuboyina, et al. ∙

research

∙ 01/13/2019

The Liver Tumor Segmentation Benchmark (LiTS)

In this work, we report the set-up and results of the Liver Tumor Segmen...

8 Patrick Bilic, et al. ∙

research

∙ 12/18/2018

Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images

Early diagnosis of pulmonary nodules (PNs) can improve the survival rate...

0 Jiechao Ma, et al. ∙

research

∙ 06/06/2018

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

International challenges have become the standard for validation of biom...

10 Lena Maier-Hein, et al. ∙

research

∙ 05/25/2018

Qunatification of Metabolites in MR Spectroscopic Imaging using Machine Learning

Magnetic Resonance Spectroscopic Imaging (MRSI) is a clinical imaging mo...

0 Dhritiman Das, et al. ∙

research

∙ 04/08/2018

DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning

Arterial spin labeling (ASL) allows to quantify the cerebral blood flow ...

0 Cagdas Ulas, et al. ∙

research

∙ 04/08/2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss

Dynamic contrast-enhanced (DCE) MRI is an evolving imaging technique tha...

0 Cagdas Ulas, et al. ∙

research

∙ 04/05/2018

Multi-level Activation for Segmentation of Hierarchically-nested Classes

For a number of biomedical image segmentation tasks, including topologic...

0 Marie Piraud, et al. ∙

research

∙ 04/04/2018

Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior

Robust localisation and identification of vertebrae is an essential part...

0 Anjany Sekuboyina, et al. ∙

research

∙ 03/25/2018

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes

We present DeepVesselNet, an architecture tailored to the challenges to ...

0 Giles Tetteh, et al. ∙

research

∙ 04/12/2017

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction

Feature extraction is a very crucial task in image and pixel (voxel) cla...

0 Giles Tetteh, et al. ∙

research

∙ 04/07/2017

Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation

The segmentation of liver lesions is crucial for detection, diagnosis an...

0 Jana Lipkova, et al. ∙

research

∙ 03/13/2017

A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets

Multi-class segmentation of vertebrae is a non-trivial task mainly due t...

0 Anjany Sekuboyina, et al. ∙

research

∙ 10/07/2016

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Automatic segmentation of the liver and its lesion is an important step ...

0 Patrick Ferdinand Christ, et al. ∙

research

∙ 06/20/2016

The Minimum Cost Connected Subgraph Problem in Medical Image Analysis

Several important tasks in medical image analysis can be stated in the f...

0 Markus Rempfler, et al. ∙

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