Standout Papers

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation 2016 2026 2019 2022 1.8k
  1. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation (2016)
    Konstantinos Kamnitsas, Christian Ledig et al. Medical Image Analysis

Immediate Impact

8 from Science/Nature 60 standout
Sub-graph 1 of 21

Citing Papers

Deep learning for cerebral vascular occlusion segmentation: A novel ConvNeXtV2 and GRN-integrated U-Net framework for diffusion-weighted imaging
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Ultrasound-Based Micro-/Nanosystems for Biomedical Applications
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1 intermediate paper

Works of Christian Ledig being referenced

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout

Author Peers

Author Last Decade Papers Cites
Christian Ledig 1333 1193 266 937 30 3.2k
Victor Alves 958 1052 106 973 53 2.5k
Rolf A. Heckemann 1256 1704 951 972 79 5.2k
Jun Zhang 1439 1154 419 845 116 3.8k
Ron Kikinis 1790 1638 152 384 74 4.5k
Aristeidis Sotiras 1570 1550 349 950 81 3.7k
Virginia Newcombe 991 1374 177 854 107 4.7k
Konstantinos Kamnitsas 1503 1368 31 790 25 3.2k
Robin Wolz 1004 890 901 675 63 2.8k
Carole H. Sudre 718 1084 628 586 105 4.1k
José V. Manjón 1834 2079 855 852 77 5.3k

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