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Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.421-429

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Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study

Medical image analysis, 2021-04, Vol.69, p.101952-101952, Article 101952

2021

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AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1313-1321

2016

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Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation

Computer Vision – ECCV 2016, p.205-220

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SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1530-1538

2017

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Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

Computer Vision – ECCV 2018, p.732-750

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Learning 3D Semantic Scene Graphs with Instance Embeddings

International journal of computer vision, 2022-03, Vol.130 (3), p.630-651

2022

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Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study

IEEE transactions on medical imaging, 2017-02, Vol.36 (2), p.538-548

2017

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ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

Biomedical optics express, 2017-08, Vol.8 (8), p.3627-3642

2017

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Towards Efficient Visual Guidance in Limited Field-of-View Head-Mounted Displays

IEEE transactions on visualization and computer graphics, 2018-11, Vol.24 (11), p.2983-2992

2018

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IEEE_Xplore

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

IEEE transactions on medical imaging, 2016-08, Vol.35 (8), p.1962-1971

2016

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A BaSiC tool for background and shading correction of optical microscopy images

Nature communications, 2017-06, Vol.8 (1), p.14836-14836, Article 14836

2017

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Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

Computer vision and image understanding, 2017-11, Vol.164, p.92-102

2017

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Applicability of augmented reality in orthopedic surgery - A systematic review

BMC musculoskeletal disorders, 2020-02, Vol.21 (1), p.103-103, Article 103

2020

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SoftPool++: An Encoder–Decoder Network for Point Cloud Completion

International journal of computer vision, 2022-05, Vol.130 (5), p.1145-1164

2022

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3D Pictorial Structures Revisited: Multiple Human Pose Estimation

IEEE transactions on pattern analysis and machine intelligence, 2016-10, Vol.38 (10), p.1929-1942

2016

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IEEE_Xplore

Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery

Scientific reports, 2021-02, Vol.11 (1), p.3993-3993, Article 3993

2021

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Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.2931-2940

2019

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IEEE_Xplore

Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease

Scientific reports, 2017-05, Vol.7 (1), p.2049-10, Article 2049

2017

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Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Computer Vision – ACCV 2012, p.548-562

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Autonomous Robotic Screening of Tubular Structures Based Only on Real-Time Ultrasound Imaging Feedback

IEEE transactions on industrial electronics (1982), 2022-07, Vol.69 (7), p.7064-7075

2022

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IEEE_Xplore

Human skeleton tracking from depth data using geodesic distances and optical flow

Image and vision computing, 2012-03, Vol.30 (3), p.217-226

2012

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Towards Fully Automatic X-Ray to CT Registration

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.631-639

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Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders

Journal of neurology, 2020-12, Vol.267 (Suppl 1), p.143-152

2020

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Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks

Scientific reports, 2019-05, Vol.9 (1), p.7569-7569, Article 7569

2019

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Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks

Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation

SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

Learning 3D Semantic Scene Graphs with Instance Embeddings

Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

Towards Efficient Visual Guidance in Limited Field-of-View Head-Mounted Displays

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

A BaSiC tool for background and shading correction of optical microscopy images

Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

Applicability of augmented reality in orthopedic surgery - A systematic review

SoftPool++: An Encoder–Decoder Network for Point Cloud Completion

3D Pictorial Structures Revisited: Multiple Human Pose Estimation

Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery

Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease

Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Autonomous Robotic Screening of Tubular Structures Based Only on Real-Time Ultrasound Imaging Feedback

Human skeleton tracking from depth data using geodesic distances and optical flow

Towards Fully Automatic X-Ray to CT Registration

Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders

Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks

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