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2411.04607
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Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
IEEE Transactions on Medical Imaging (IEEE TMI), 2024
7 November 2024
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
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Papers citing
"Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation"
50 / 54 papers shown
Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
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18 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
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Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
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Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease
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13 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images
Nature Communications (Nat. Commun.), 2023
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Chaoyi Wu
Ya Zhang
Yanfeng Wang
Weidi Xie
MedIm
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27 Feb 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
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Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
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28 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification
IEEE International Conference on Computer Vision (ICCV), 2023
Chong Wang
Yuyuan Liu
Yuanhong Chen
Fengbei Liu
Yu Tian
Davis J. McCarthy
Helen Frazer
G. Carneiro
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08 Jan 2023
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology
IEEE International Conference on Computer Vision (ICCV), 2023
Chaoyi Wu
Xiaoman Zhang
Ya Zhang
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Weidi Xie
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05 Jan 2023
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
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Yutong Bai
Alan Yuille
Zongwei Zhou
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ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Neural Information Processing Systems (NeurIPS), 2022
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Ahcène Boubekki
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Robert Jenssen
Marina M.-C. Höhne
Michael C. Kampffmeyer
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Mohammad Zunaed
Md. Kawsar Ahmed
S. M. J. Hossain
Anwarul Hasan
Taufiq Hasan
ViT
220
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Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Chong Wang
Yuanhong Chen
Yuyuan Liu
Yu Tian
Fengbei Liu
Davis J. McCarthy
M. Elliott
Helen Frazer
G. Carneiro
287
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26 Sep 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yuanhong Chen
Hu Wang
Chong Wang
Yu Tian
Fengbei Liu
M. Elliott
Davis J. McCarthy
Helen Frazer
G. Carneiro
246
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21 Sep 2022
Visual Recognition with Deep Nearest Centroids
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Wenguan Wang
Cheng Han
Tianfei Zhou
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INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
L. Hesse
Ana I. L. Namburete
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116
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31 Jul 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey
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10 May 2022
Rethinking Semantic Segmentation: A Prototype View
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E. Konukoglu
Luc Van Gool
SSeg
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28 Mar 2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Yuyuan Liu
Yu Tian
Chong Wang
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
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407
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28 Mar 2022
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yu Tian
Guansong Pang
Fengbei Liu
Yuyuan Liu
Chong Wang
Yuanhong Chen
Johan Verjans
G. Carneiro
ViT
MedIm
297
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23 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
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Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
272
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15 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
IEEE International Conference on Computer Vision (ICCV), 2022
Yuanhong Chen
Fengbei Liu
Hu Wang
Chong Wang
Yu Tian
Yuyuan Liu
G. Carneiro
NoLa
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03 Mar 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
IEEE Transactions on Medical Imaging (TMI), 2020
Xi Ouyang
Srikrishna Karanam
Ziyan Wu
Terrence Chen
Jiayu Huo
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Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
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248
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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
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GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images
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Gangming Zhao
Xin Wei
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Changzai Pan
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267
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AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
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Ismini Lourentzou
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XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Computer Vision and Pattern Recognition (CVPR), 2021
Eunji Kim
Siwon Kim
Minji Seo
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363
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19 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
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Yu Tian
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Chong Wang
Vasileios Belagiannis
G. Carneiro
345
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A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection
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Wenguan Wang
Chao Ma
Jianbing Shen
Ling Shao
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19 Jan 2020
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Haoqi Fan
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R. Mark
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Oscar Li
Chaofan Tao
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Jonathan Su
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Bogdan Georgescu
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Jeremy Irvin
Kaylie Zhu
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C. Langlotz
K. Shpanskaya
M. Lungren
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