Standout Papers

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? 2016 2026 2019 2022 1.7k
  1. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? (2016)
    Nima Tajbakhsh, J. Shin et al. IEEE Transactions on Medical Imaging

Immediate Impact

1 by Nobel laureates 11 from Science/Nature 60 standout
Sub-graph 1 of 22

Citing Papers

A vision–language foundation model for precision oncology
2025 StandoutNature
Ultrasound-Based Micro-/Nanosystems for Biomedical Applications
2024 Standout
3 intermediate papers

Works of J. Shin being referenced

Active, continual fine tuning of convolutional neural networks for reducing annotation efforts
2021
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout

Author Peers

Author Last Decade Papers Cites
J. Shin 852 652 871 6 2.0k
Michal Drozdzal 1001 866 626 14 2.5k
Mateusz Buda 699 482 984 10 2.2k
Nabil Ibtehaz 682 698 550 26 1.9k
Michal Marianne Amitai 565 431 555 14 1.5k
Ozan Oktay 1110 1101 671 22 2.3k
Tom Doel 585 583 433 14 1.4k
Abdel Aziz Taha 840 670 343 8 2.0k
Jo Schlemper 1640 793 490 11 2.5k
Assaf Hoogi 774 485 707 22 1.6k
Alexander A. Alemi 391 990 719 10 2.3k

All Works

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2026