b'Andreas Maier'

research

∙ 12/12/2019

Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics

Assessing coronary artery plaque segments in coronary CT angiography sca...

17 Felix Denzinger, et al. ∙

research

∙ 12/08/2019

ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents

This competition investigates the performance of large-scale retrieval o...

29 Vincent Christlein, et al. ∙

research

∙ 12/04/2019

Epoch-wise label attacks for robustness against label noise

The current accessibility to large medical datasets for training convolu...

16 Sebastian Guendel, et al. ∙

research

∙ 12/03/2019

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT

Analyzing knee cartilage thickness and strain under load can help to fur...

23 Jennifer Maier, et al. ∙

research

∙ 11/30/2019

Fooling the Crowd with Deep Learning-based Methods

Modern, state-of-the-art deep learning approaches yield human like perfo...

0 Christian Marzahl, et al. ∙

research

∙ 11/29/2019

Deep autofocus with cone-beam CT consistency constraint

High quality reconstruction with interventional C-arm cone-beam computed...

31 Alexander Preuhs, et al. ∙

research

∙ 11/25/2019

Learning New Tricks from Old Dogs – Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment

For histopathological tumor assessment, the count of mitotic figures per...

23 Marc Aubreville, et al. ∙

research

∙ 11/19/2019

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

Hybrid X-ray and magnetic resonance (MR) imaging promises large potentia...

21 Bernhard Stimpel, et al. ∙

research

∙ 11/18/2019

Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing

Deep learning-based image processing is capable of creating highly appea...

21 Bernhard Stimpel, et al. ∙

research

∙ 11/12/2019

Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing

The image signal processing pipeline (ISP) is a core element of digital ...

28 Prashant Chaudhari, et al. ∙

research

∙ 11/06/2019

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

Retinal vessel segmentation is an essential step for fundus image analys...

17 Weilin Fu, et al. ∙

research

∙ 11/04/2019

Superpixel-Based Background Recovery from Multiple Images

In this paper, we propose an intuitive method to recover background from...

4 Lei Gao, et al. ∙

research

∙ 11/04/2019

Field of View Extension in Computed Tomography Using Deep Learning Prior

In computed tomography (CT), data truncation is a common problem. Images...

20 Yixing Huang, et al. ∙

research

∙ 10/09/2019

Image Quality Assessment for Rigid Motion Compensation

Diagnostic stroke imaging with C-arm cone-beam computed tomography (CBCT...

16 Alexander Preuhs, et al. ∙

research

∙ 09/19/2019

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories

Metal artifacts in computed tomography (CT) arise from a mismatch betwee...

20 Jan-Nico Zaech, et al. ∙

research

∙ 09/13/2019

Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks

Magnetic Resonance Fingerprinting (MRF) is an imaging technique acquirin...

6 Elisabeth Hoppe, et al. ∙

research

∙ 09/01/2019

A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems

For complex segmentation tasks, the achievable accuracy of fully automat...

15 Mario Amrehn, et al. ∙

research

∙ 08/21/2019

Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation

Left ventricle segmentation and morphological assessment are essential f...

8 Sulaiman Vesal, et al. ∙

research

∙ 08/19/2019

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior

Robustness of deep learning methods for limited angle tomography is chal...

0 Yixing Huang, et al. ∙

research

∙ 08/14/2019

Deep Generalized Max Pooling

Global pooling layers are an essential part of Convolutional Neural Netw...

40 Vincent Christlein, et al. ∙

research

∙ 08/12/2019

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides

Purpose: Exercise-induced pulmonary hemorrhage (EIPH) is a common syndro...

3 Christian Marzahl, et al. ∙

research

∙ 07/24/2019

Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery

X-ray based measurement and guidance are commonly used tools in orthopae...

0 Florian Kordon, et al. ∙

research

∙ 07/14/2019

A Divide-and-Conquer Approach towards Understanding Deep Networks

Deep neural networks have achieved tremendous success in various fields ...

10 Weilin Fu, et al. ∙

research

∙ 07/09/2019

RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting

Recently, Magnetic Resonance Fingerprinting (MRF) was proposed as a quan...

3 Elisabeth Hoppe, et al. ∙

research

∙ 07/01/2019

Analysis by Adversarial Synthesis -- A Novel Approach for Speech Vocoding

Classical parametric speech coding techniques provide a compact represen...

0 Ahmed Mustafa, et al. ∙

research

∙ 05/19/2019

A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT

Automatic segmentation of organs-at-risk (OAR) in computed tomography (C...

0 Sulaiman Vesal, et al. ∙

research

∙ 05/15/2019

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels

Chest X-ray (CXR) is the most common X-ray examination performed in dail...

5 Sebastian Guendel, et al. ∙

research

∙ 03/20/2019

Dilated deeply supervised networks for hippocampus segmentation in MRI

Tissue loss in the hippocampi has been heavily correlated with the progr...

1 Lukas Folle, et al. ∙

research

∙ 02/24/2019

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal T

Squamous Cell Carcinoma (SCC) is the most common cancer type of the epit...

20 Marc Aubreville, et al. ∙

research

∙ 02/12/2019

Field of Interest Prediction for Computer-Aided Mitotic Count

Manual counts of mitotic figures, which are determined in the tumor regi...

0 Marc Aubreville, et al. ∙

research

∙ 12/19/2018

The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data

Data analysis and machine learning have become an integrative part of th...

0 Mario Amrehn, et al. ∙

research

∙ 12/19/2018

Balanced Random Forest Classifier in WEKA

Data analysis and machine learning have become an integrative part of th...

0 Mario Amrehn, et al. ∙

research

∙ 12/13/2018

Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks

To date, the simulation of organ deformations for applications like ther...

0 Felix Meister, et al. ∙

research

∙ 11/11/2018

A 3-D Projection Model for X-ray Dark-field Imaging

Talbot-Lau X-ray phase-contrast imaging is a novel imaging modality, whi...

4 Shiyang Hu, et al. ∙

research

∙ 10/22/2018

Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks

Most tumor grading systems for human as for veterinary histopathology ar...

2 Marc Aubreville, et al. ∙

research

∙ 10/12/2018

A Gentle Introduction to Deep Learning in Medical Image Processing

This paper tries to give a gentle introduction to deep learning in medic...

0 Andreas Maier, et al. ∙

research

∙ 10/01/2018

Augmented Mitotic Cell Count using Field Of Interest Proposal

Histopathological prognostication of neoplasia including most tumor grad...

0 Marc Aubreville, et al. ∙

research

∙ 09/17/2018

Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data

Capturing ground truth data to benchmark super-resolution (SR) is challe...

6 Thomas Köhler, et al. ∙

research

∙ 08/05/2018

A Multi-task Framework for Skin Lesion Detection and Segmentation

Early detection and segmentation of skin lesions is crucial for timely d...

4 Sulaiman Vesal, et al. ∙

research

∙ 08/05/2018

Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI

Segmentation of the left atrial chamber and assessing its morphology, ar...

8 Sulaiman Vesal, et al. ∙

research

∙ 07/24/2018

User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction

In this paper, we investigate whether is it possible to train a neural n...

0 Shahab Zarei, et al. ∙

research

∙ 07/09/2018

Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion

In this paper, we derive a neural network architecture based on an analy...

14 Christopher Syben, et al. ∙

research

∙ 07/08/2018

Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images

Electroluminescence (EL) imaging is a useful modality for the inspection...

0 Sergiu Deitsch, et al. ∙

research

∙ 06/28/2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Deep learning approaches have shown promising performance for compressed...

4 Maximilian Seitzer, et al. ∙

research

∙ 06/25/2018

SkinNet: A Deep Learning Framework for Skin Lesion Segmentation

There has been a steady increase in the incidence of skin cancer worldwi...

0 Sulaiman Vesal, et al. ∙

research

∙ 06/22/2018

Augmented Reality-based Feedback for Technician-in-the-loop C-arm Repositioning

Interventional C-arm imaging is crucial to percutaneous orthopedic proce...

0 Mathias Unberath, et al. ∙

research

∙ 06/20/2018

Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration

Registration for pre-operative 3-D images to intra-operative 2-D fluoros...

0 Roman Schaffert, et al. ∙

research

∙ 06/19/2018

Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings

Embedding data into vector spaces is a very popular strategy of pattern ...

0 Anguelos Nicolaou, et al. ∙

research

∙ 06/18/2018

Segmentation of Photovoltaic Module Cells in Electroluminescence Images

High resolution electroluminescence (EL) images captured in the infrared...

4 Sergiu Deitsch, et al. ∙

research

∙ 06/14/2018

Action Learning for 3D Point Cloud Based Organ Segmentation

We propose a novel point cloud based 3D organ segmentation pipeline util...

0 Xia Zhong, et al. ∙

Andreas Maier

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