Concepedia

Deep Learning-based Quality Assessment

Deep Learning-Based Quality Assessment is a computational framework within retinal image quality evaluation that leverages deep neural networks to automatically learn and extract hierarchical features for predicting image quality, distinguishing itself from traditional handcrafted feature-based methods by enabling end-to-end, data-driven quality estimation.

549

Publications

37.7K

Citations

1.8K

Authors

637

Institutions

Publications per year

2017–2026

506

Parents

Publications

549

Convolutional Neural Networks for No-Reference Image Quality Assessment

Le Kang, Peng Ye, Yi Li et al. · 2014 · 1.3K citations

, , +15

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

IEEE Transactions on Image Processing · 2017 · 1.1K citations · Full text

, , +15

NIMA: Neural Image Assessment

IEEE Transactions on Image Processing · 2018 · 944 citations · Full text

, , +16

Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network

Weixia Zhang, Kede Ma, Jia Yan et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2018 · 898 citations · Full text

, , +16

KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment

IEEE Transactions on Image Processing · 2020 · 641 citations · Full text

, , +14

1–5 of 549

Authors

1.8K

  1. GZ
    Guangtao Zhai

    Shanghai Jiao Tong University, China

    19 publications · 1.2K citations

    16

    h-index

  2. XM
    Xiongkuo Min

    Shanghai Jiao Tong University, China

    16 publications · 1K citations

    14

    h-index

  3. KM
    Kede Ma

    University of Waterloo, Canada

    12 publications · 2.1K citations

    12

    h-index

  4. WS
    Wei Sun

    Shanghai Jiao Tong University, China

    11 publications · 768 citations

    11

    h-index

  5. AC
    Aladine Chetouani

    Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, France

    11 publications · 294 citations

    11

    h-index

1–5 of 1.8K

Institutions

637

  1. Xidian University

    Xi'an, China

    23 h-index

    81 publications

    6.5K citations

  2. City University of Hong Kong

    Hong Kong, Hong Kong

    21 h-index

    55 publications

    4.4K citations

  3. Shanghai Jiao Tong University

    Shanghai, China

    20 h-index

    138 publications

    18.6K citations

  4. Nanyang Technological University

    Singapore, Singapore

    16 h-index

    47 publications

    3.1K citations

  5. Tianjin University

    Tianjin, China

    15 h-index

    47 publications

    1.9K citations

  6. Shenzhen University

    Shenzhen, China

    14 h-index

    24 publications

    2.6K citations

  7. Centre National de la Recherche Scientifique

    Paris, France

    14 h-index

    30 publications

    994 citations

  8. Peking University

    Beijing, China

    14 h-index

    32 publications

    3.3K citations

1–8 of 637

Venues

  1. IEEE Transactions on Image Processing

    31 publications · 6.4K citations

    25

    h-index

  2. 22

    h-index

  3. IEEE Access

    21 publications · 714 citations

    16

    h-index

  4. IEEE Transactions on Multimedia

    18 publications · 894 citations

    16

    h-index

  5. arXiv (Cornell University)

    Repository · 20 publications · 406 citations

    13

    h-index

1–5