Ben Glocker

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 59 Citations 22,063 246 World Ranking 2187 National Ranking 127

Overview

What are the main themes of his work throughout his whole career to date

Artificial intelligence is closely attributed to Visualization in his study. His Segmentation study frequently links to other fields, such as Markov random field. His study ties his expertise on Segmentation together with the subject of Markov random field. He frequently studies issues relating to Ground truth and Computer vision. He frequently studies issues relating to Computer vision and Ground truth. The study of Image (mathematics) is intertwined with the study of Noise (video) in a number of ways. Noise (video) is frequently linked to Image (mathematics) in his study. His work blends Image segmentation and Image registration studies together. Ben Glocker incorporates Image registration and Image segmentation in his research.

Ben Glocker most often published in these fields:

Artificial intelligence (71.43%)
Segmentation (57.14%)
Computer vision (42.86%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer.
IEEE Transactions on Medical Imaging (2015)

3477 Citations

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

Konstantinos Kamnitsas;Christian Ledig;Virginia F.J. Newcombe;Joanna P. Simpson.
Medical Image Analysis (2017)

2559 Citations

Attention U-Net: Learning Where to Look for the Pancreas

Ozan Oktay;Jo Schlemper;Loïc Le Folgoc;Matthew C. H. Lee.
arXiv: Computer Vision and Pattern Recognition (2018)

1629 Citations

Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

Andrew I R Maas;David K Menon;P David Adelson;Nada Andelic.
Lancet Neurology (2017)

1300 Citations

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
arXiv: Computer Vision and Pattern Recognition (2018)

1068 Citations

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
Unknown Journal (2018)

685 Citations

ElasticFusion: Dense SLAM Without A Pose Graph

Thomas Whelan;Stefan Leutenegger;Renato F. Salas-Moreno;Ben Glocker.
robotics science and systems (2015)

631 Citations

Attention gated networks: Learning to leverage salient regions in medical images.

Jo Schlemper;Ozan Oktay;Michiel Schaap;Mattias P. Heinrich.
Medical Image Analysis (2019)

606 Citations

Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

Jamie Shotton;Ben Glocker;Christopher Zach;Shahram Izadi.
computer vision and pattern recognition (2013)

591 Citations

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich.
IEEE Transactions on Medical Imaging (2018)

541 Citations

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Ben Glocker

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What are the main themes of his work throughout his whole career to date

Ben Glocker most often published in these fields:

Best Publications

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