Standout Papers

Deep semantic segmentation of natural and medical images: a review 2020 2026 2022 2024509
  1. Deep semantic segmentation of natural and medical images: a review (2020)
    Saeid Asgari Taghanaki, Kumar Abhishek et al. PolyPublie (École Polytechnique de Montréal)

Immediate Impact

65 standout
Sub-graph 1 of 23

Citing Papers

A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases
2025 Standout
Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
2025 Standout
3 intermediate papers

Works of Kumar Abhishek being referenced

A survey on deep learning for skin lesion segmentation
2023
Deep semantic segmentation of natural and medical images: a review
2020 Standout

Author Peers

Author Last Decade Papers Cites
Kumar Abhishek 298 334 46 215 32 889
Hien Van Nguyen 331 356 39 168 48 1.1k
Kai Zhang 537 242 32 215 47 979
Pablo Mesejo 247 227 12 150 35 810
Alper Baştürk 471 389 20 237 42 1.2k
Qianwei Zhou 340 240 20 228 49 908
Xiangbin Liu 235 281 14 236 44 774
Jiafeng Liu 283 489 50 165 90 964
Lalit Mohan Goyal 263 270 32 116 35 917
Xinyu Tian 225 235 26 77 46 1.1k
Guangmin Sun 192 240 14 274 97 927

All Works

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2026