Standout Papers

The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measu... 2018 2026 2020 2023 422
  1. The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks (2018)
    Maxim Berman, Amal Rannen Triki et al. Lirias (KU Leuven)

Immediate Impact

69 standout
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Citing Papers

Segment anything in medical images
2024 Standout
Medical Image Segmentation Review: The Success of U-Net
2024 Standout
2 intermediate papers

Works of Maxim Berman being referenced

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
2020
The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
2018 Standout

Author Peers

Author Last Decade Papers Cites
Maxim Berman 315 138 41 128 6 652
Nameirakpam Dhanachandra 297 185 15 114 5 728
Chongruo Wu 305 155 12 74 7 620
Pablo Márquez-Neila 318 92 36 129 23 713
Umme Sara 431 113 37 113 8 819
Stefan Oehmcke 310 157 20 56 19 752
Theodoros Georgiou 269 143 15 73 29 741
Yambem Jina Chanu 298 202 15 132 19 769
Ibrahem Kandel 155 176 17 173 9 586
Shawn Lankton 537 106 22 194 9 749
Zhongyue Zhang 334 220 12 84 18 817

All Works

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2026