Andreas Maier

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FAU

Head of the Pattern Recognition Lab of the University of Erlangen–Nuremberg.

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

Assessing coronary artery plaque segments in coronary CT angiography sca...
12/12/2019 ∙ by Felix Denzinger, et al. ∙ 17 ∙ share

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ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents

This competition investigates the performance of large-scale retrieval o...
12/08/2019 ∙ by Vincent Christlein, et al. ∙ 29 ∙ share

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Epoch-wise label attacks for robustness against label noise

The current accessibility to large medical datasets for training convolu...
12/04/2019 ∙ by Sebastian Guendel, et al. ∙ 16 ∙ share

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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...
12/03/2019 ∙ by Jennifer Maier, et al. ∙ 23 ∙ share

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Fooling the Crowd with Deep Learning-based Methods

Modern, state-of-the-art deep learning approaches yield human like perfo...
11/30/2019 ∙ by Christian Marzahl, et al. ∙ 0 ∙ share

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Deep autofocus with cone-beam CT consistency constraint

High quality reconstruction with interventional C-arm cone-beam computed...
11/29/2019 ∙ by Alexander Preuhs, et al. ∙ 31 ∙ share

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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...
11/25/2019 ∙ by Marc Aubreville, et al. ∙ 23 ∙ share

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

Hybrid X-ray and magnetic resonance (MR) imaging promises large potentia...
11/19/2019 ∙ by Bernhard Stimpel, et al. ∙ 21 ∙ share

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Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing

Deep learning-based image processing is capable of creating highly appea...
11/18/2019 ∙ by Bernhard Stimpel, et al. ∙ 21 ∙ share

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

The image signal processing pipeline (ISP) is a core element of digital ...
11/12/2019 ∙ by Prashant Chaudhari, et al. ∙ 28 ∙ share

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

Retinal vessel segmentation is an essential step for fundus image analys...
11/06/2019 ∙ by Weilin Fu, et al. ∙ 17 ∙ share

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Superpixel-Based Background Recovery from Multiple Images

In this paper, we propose an intuitive method to recover background from...
11/04/2019 ∙ by Lei Gao, et al. ∙ 4 ∙ share

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Field of View Extension in Computed Tomography Using Deep Learning Prior

In computed tomography (CT), data truncation is a common problem. Images...
11/04/2019 ∙ by Yixing Huang, et al. ∙ 20 ∙ share

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Image Quality Assessment for Rigid Motion Compensation

Diagnostic stroke imaging with C-arm cone-beam computed tomography (CBCT...
10/09/2019 ∙ by Alexander Preuhs, et al. ∙ 16 ∙ share

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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...
09/19/2019 ∙ by Jan-Nico Zaech, et al. ∙ 20 ∙ share

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Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks

Magnetic Resonance Fingerprinting (MRF) is an imaging technique acquirin...
09/13/2019 ∙ by Elisabeth Hoppe, et al. ∙ 6 ∙ share

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

For complex segmentation tasks, the achievable accuracy of fully automat...
09/01/2019 ∙ by Mario Amrehn, et al. ∙ 15 ∙ share

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Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation

Left ventricle segmentation and morphological assessment are essential f...
08/21/2019 ∙ by Sulaiman Vesal, et al. ∙ 8 ∙ share

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

Robustness of deep learning methods for limited angle tomography is chal...
08/19/2019 ∙ by Yixing Huang, et al. ∙ 0 ∙ share

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Deep Generalized Max Pooling

Global pooling layers are an essential part of Convolutional Neural Netw...
08/14/2019 ∙ by Vincent Christlein, et al. ∙ 40 ∙ share

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Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides

Purpose: Exercise-induced pulmonary hemorrhage (EIPH) is a common syndro...
08/12/2019 ∙ by Christian Marzahl, et al. ∙ 3 ∙ share

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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...
07/24/2019 ∙ by Florian Kordon, et al. ∙ 0 ∙ share

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A Divide-and-Conquer Approach towards Understanding Deep Networks

Deep neural networks have achieved tremendous success in various fields ...
07/14/2019 ∙ by Weilin Fu, et al. ∙ 10 ∙ share

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

Recently, Magnetic Resonance Fingerprinting (MRF) was proposed as a quan...
07/09/2019 ∙ by Elisabeth Hoppe, et al. ∙ 3 ∙ share

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

Classical parametric speech coding techniques provide a compact represen...
07/01/2019 ∙ by Ahmed Mustafa, et al. ∙ 0 ∙ share

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

Automatic segmentation of organs-at-risk (OAR) in computed tomography (C...
05/19/2019 ∙ by Sulaiman Vesal, et al. ∙ 0 ∙ share

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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...
05/15/2019 ∙ by Sebastian Guendel, et al. ∙ 4 ∙ share

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Dilated deeply supervised networks for hippocampus segmentation in MRI

Tissue loss in the hippocampi has been heavily correlated with the progr...
03/20/2019 ∙ by Lukas Folle, et al. ∙ 1 ∙ share

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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...
02/24/2019 ∙ by Marc Aubreville, et al. ∙ 20 ∙ share

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Field of Interest Prediction for Computer-Aided Mitotic Count

Manual counts of mitotic figures, which are determined in the tumor regi...
02/12/2019 ∙ by Marc Aubreville, et al. ∙ 0 ∙ share

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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...
12/19/2018 ∙ by Mario Amrehn, et al. ∙ 0 ∙ share

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Balanced Random Forest Classifier in WEKA

Data analysis and machine learning have become an integrative part of th...
12/19/2018 ∙ by Mario Amrehn, et al. ∙ 0 ∙ share

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Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks

To date, the simulation of organ deformations for applications like ther...
12/13/2018 ∙ by Felix Meister, et al. ∙ 0 ∙ share

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

Talbot-Lau X-ray phase-contrast imaging is a novel imaging modality, whi...
11/11/2018 ∙ by Shiyang Hu, et al. ∙ 4 ∙ share

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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...
10/22/2018 ∙ by Marc Aubreville, et al. ∙ 2 ∙ share

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A Gentle Introduction to Deep Learning in Medical Image Processing

This paper tries to give a gentle introduction to deep learning in medic...
10/12/2018 ∙ by Andreas Maier, et al. ∙ 0 ∙ share

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Augmented Mitotic Cell Count using Field Of Interest Proposal

Histopathological prognostication of neoplasia including most tumor grad...
10/01/2018 ∙ by Marc Aubreville, et al. ∙ 0 ∙ share

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

Capturing ground truth data to benchmark super-resolution (SR) is challe...
09/17/2018 ∙ by Thomas Köhler, et al. ∙ 6 ∙ share

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A Multi-task Framework for Skin Lesion Detection and Segmentation

Early detection and segmentation of skin lesions is crucial for timely d...
08/05/2018 ∙ by Sulaiman Vesal, et al. ∙ 4 ∙ share

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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...
08/05/2018 ∙ by Sulaiman Vesal, et al. ∙ 8 ∙ share

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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...
07/24/2018 ∙ by Shahab Zarei, et al. ∙ 0 ∙ share

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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...
07/09/2018 ∙ by Christopher Syben, et al. ∙ 14 ∙ share

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Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images

Electroluminescence (EL) imaging is a useful modality for the inspection...
07/08/2018 ∙ by Sergiu Deitsch, et al. ∙ 0 ∙ share

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Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Deep learning approaches have shown promising performance for compressed...
06/28/2018 ∙ by Maximilian Seitzer, et al. ∙ 4 ∙ share

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SkinNet: A Deep Learning Framework for Skin Lesion Segmentation

There has been a steady increase in the incidence of skin cancer worldwi...
06/25/2018 ∙ by Sulaiman Vesal, et al. ∙ 0 ∙ share

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

Interventional C-arm imaging is crucial to percutaneous orthopedic proce...
06/22/2018 ∙ by Mathias Unberath, et al. ∙ 0 ∙ share

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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...
06/20/2018 ∙ by Roman Schaffert, et al. ∙ 0 ∙ share

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

Embedding data into vector spaces is a very popular strategy of pattern ...
06/19/2018 ∙ by Anguelos Nicolaou, et al. ∙ 0 ∙ share

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Segmentation of Photovoltaic Module Cells in Electroluminescence Images

High resolution electroluminescence (EL) images captured in the infrared...
06/18/2018 ∙ by Sergiu Deitsch, et al. ∙ 4 ∙ share

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Action Learning for 3D Point Cloud Based Organ Segmentation

We propose a novel point cloud based 3D organ segmentation pipeline util...
06/14/2018 ∙ by Xia Zhong, et al. ∙ 0 ∙ share

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Andreas Maier

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