Standout Papers

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus ... 2018 2026 2020 2023 314
  1. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI (2018)
    Maciej A. Mazurowski, Mateusz Buda et al. Journal of Magnetic Resonance Imaging

Immediate Impact

57 standout
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Citing Papers

An evaluation framework for clinical use of large language models in patient interaction tasks
2025 Standout
Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
2025 Standout
1 intermediate paper

Works of Ashirbani Saha being referenced

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics
2018
Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing
2018

Author Peers

Author Last Decade Papers Cites
Ashirbani Saha 1180 755 406 53 2.0k
Jens Kleesiek 894 391 352 92 1.9k
Hongzan Sun 1103 756 361 99 2.2k
Mitko Veta 841 1053 619 51 1.7k
Arkadiusz Gertych 644 662 383 69 2.7k
Ahmad Chaddad 1147 538 214 74 1.9k
Andrew Janowczyk 1086 1472 580 64 2.2k
Narges Razavian 1045 1187 236 33 2.3k
David J. Foran 689 978 732 95 2.6k
Shan E Ahmed Raza 738 1044 561 47 1.7k
Tao Tan 942 831 383 107 1.8k

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2026