Papers citing 'ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification'

Title
Is attention all you need in medical image analysis? A reviewIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 G. Papanastasiou Nikolaos Dikaios Jiahao Huang Chengjia Wang Guang Yang ViT MedIm 198 46 0 24 Jul 2023
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement H. Yeoh Andre Liew Raphael Phan Fredrik Strand K. Rahmat T. Nguyen J. Hopper Maxine Tan MedIm 103 9 0 01 Apr 2023
Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models L. Brocki N. C. Chung 90 10 0 20 Mar 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review Reza Azad Amirhossein Kazerouni Moein Heidari Ehsan Khodapanah Aghdam Amir Molaei Yiwei Jia Abin Jose Rijo Roy Dorit Merhof MedIm ViT 298 282 0 09 Jan 2023
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis E. Munoz P. Baudot Van-Khoa Le C. Voyton B. Renoust ... J. Brisset Ezequiel Geremia A. Iannessi Yan Liu B. Huet 51 3 0 27 Jul 2022
Deep fusion of gray level co-occurrence matrices for lung nodule classificationPLoS ONE (PLoS ONE), 2022 A. Saihood Hossein Karshenas A. Naghsh-Nilchi 153 20 0 10 May 2022
Unsupervised Contrastive Learning based Transformer for Lung Nodule DetectionPhysics in Medicine and Biology (PMB), 2022 Chuang Niu Ge Wang ViT MedIm 170 39 0 30 Apr 2022
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?IEEE Access (IEEE Access), 2022 Tiago Gonçalves Isabel Rio-Torto Luís F. Teixeira J. S. Cardoso OOD MedIm 184 51 0 26 Apr 2022
Learning from Ambiguous Labels for Lung Nodule Malignancy PredictionIEEE Transactions on Medical Imaging (IEEE TMI), 2021 Zehui Liao Yutong Xie Shishuai Hu Yong-quan Xia AI4CE 137 36 0 23 Apr 2021
3D Axial-Attention for Lung Nodule ClassificationInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2020 M. Al-Shabi Kelvin Shak Maxine Tan MedIm 169 22 0 28 Dec 2020
A new semi-supervised self-training method for lung cancer prediction Kelvin Shak M. Al-Shabi Andre Liew B. Lan W. Chan K. Ng Maxine Tan 107 3 0 17 Dec 2020