Standout Papers

Segment anything model for medical image analysis: An experimental study 2023 2026 2024250
  1. Segment anything model for medical image analysis: An experimental study (2023)
    Maciej A. Mazurowski, Haoyu Dong et al. Medical Image Analysis

Immediate Impact

18 standout
Sub-graph 1 of 6

Citing Papers

Future of generative adversarial networks (GAN) for anomaly detection in network security: A review
2024 Standout
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation
2024 Standout
4 intermediate papers

Works of Nicholas Konz being referenced

Segment anything model for medical image analysis: An experimental study
2023 Standout
A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis
2021

Author Peers

Author Last Decade Papers Cites
Nicholas Konz 91 127 108 7 348
Ryo Takahashi 128 152 82 15 400
Hamid Reza Boveiri 57 112 66 18 335
Alhassan Mumuni 106 107 39 10 411
Shuo Li 92 113 113 10 320
R. R. Sedamkar 94 120 57 16 331
Junaid Malik 46 84 62 15 309
Tianbao Zhou 113 164 92 6 362
Ruihan Zhao 108 190 114 18 300
Haidar Almubarak 211 103 117 10 385
Xiaobin Hu 64 201 111 14 386

All Works

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2026