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Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

7 November 2024

Papers citing "Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation"

50 / 54 papers shown

Title
Cephalometric Landmark Detection across Ages with Prototypical Network Han Wu Chong Wang Lanzhuju Mei Tong Yang Min Zhu Dingggang Shen Zhiming Cui 65 4 0 18 Jun 2024
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification Tianjie Dai Ruipeng Zhang Feng Hong Jiangchao Yao Ya Zhang Yanfeng Wang 102 13 0 18 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 118 1 0 30 Nov 2023
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance Weizhi Nie Chen Zhang Dan Song Lina Zhao Yunpeng Bai Keliang Xie Anan Liu 74 1 0 02 Jun 2023
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease Tom Nuno Wolf Sebastian Polsterl Christian Wachinger FAtt 83 7 0 13 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya Zhang Yanfeng Wang Weidi Xie MedIm 92 136 0 27 Feb 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 72 29 0 28 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang Yuyuan Liu Yuanhong Chen Fengbei Liu Yu Tian Davis J. McCarthy Helen Frazer G. Carneiro 96 26 0 08 Jan 2023
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology Chaoyi Wu Xiaoman Zhang Ya Zhang Yanfeng Wang Weidi Xie LM&MA VLM 109 120 0 05 Jan 2023
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 77 60 0 23 Oct 2022
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam Ahcène Boubekki Stine Hansen Suaiba Amina Salahuddin Robert Jenssen Marina M.-C. Höhne Michael C. Kampffmeyer 72 38 0 15 Oct 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification Md. Iqbal Hossain Mohammad Zunaed Md. Kawsar Ahmed S. M. J. Hossain Anwarul Hasan Taufiq Hasan ViT 78 4 0 06 Oct 2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models Chong Wang Yuanhong Chen Yuyuan Liu Yu Tian Fengbei Liu Davis J. McCarthy M. Elliott Helen Frazer G. Carneiro 96 20 0 26 Sep 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation Yuanhong Chen Hu Wang Chong Wang Yu Tian Fengbei Liu M. Elliott Davis J. McCarthy Helen Frazer G. Carneiro 105 20 0 21 Sep 2022
Visual Recognition with Deep Nearest Centroids Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 109 94 0 15 Sep 2022
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples L. Hesse Ana I. L. Namburete FAtt 34 10 0 31 Jul 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 55 55 0 10 May 2022
Rethinking Semantic Segmentation: A Prototype View Tianfei Zhou Wenguan Wang E. Konukoglu Luc Van Gool SSeg 114 274 0 28 Mar 2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images Yuyuan Liu Yu Tian Chong Wang Yuanhong Chen Fengbei Liu Vasileios Belagiannis G. Carneiro 3DV 138 18 0 28 Mar 2022
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection Yu Tian Guansong Pang Fengbei Liu Yuyuan Liu Chong Wang Yuanhong Chen Johan Verjans G. Carneiro ViT MedIm 79 29 0 23 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 97 100 0 15 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Yuanhong Chen Fengbei Liu Hu Wang Chong Wang Yu Tian Yuyuan Liu G. Carneiro NoLa 110 8 0 03 Mar 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis Xi Ouyang Srikrishna Karanam Ziyan Wu Terrence Chen Jiayu Huo X. Zhou Qian Wang Jie Cheng OOD 53 92 0 23 Dec 2021
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention Kun Yan Chenbin Zhang Jun Hou Ping Wang Zied Bouraoui Shoaib Jameel Steven Schockaert 54 20 0 02 Dec 2021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jonathan Donnelly A. Barnett Chaofan Chen 3DH 123 129 0 29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,827 0 11 Nov 2021
Joint Inductive and Transductive Learning for Video Object Segmentation Yunyao Mao Ning Wang Wen-gang Zhou Houqiang Li VOS 80 101 0 08 Aug 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 101 667 0 22 Jul 2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images Baolian Qi Gangming Zhao Xin Wei Chaowei Fang Changzai Pan Huiguang He Jinpeng Li 105 11 0 14 Jul 2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray Nkechinyere N. Agu Joy T. Wu Hanqing Chao Ismini Lourentzou Arjun Sharma Mehdi Moradi Pingkun Yan James A. Hendler 47 34 0 20 May 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations Eunji Kim Siwon Kim Minji Seo Sungroh Yoon ViT FAtt 74 114 0 19 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification Fengbei Liu Yuanhong Chen Yu Tian Yuyuan Liu Chong Wang Vasileios Belagiannis G. Carneiro 53 12 0 06 Mar 2021
A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection Ning Li Tao Li Chunyu Hu Kai Wang Hong Kang 56 90 0 16 Feb 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 111 101 0 11 Jan 2021
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation Xueyi Li Tianfei Zhou Jianwu Li Yi Zhou Zhaoxiang Zhang 60 125 0 09 Dec 2020
General Multi-label Image Classification with Transformers Jack Lanchantin Tianlu Wang Vicente Ordonez Yanjun Qi ViT 63 266 0 27 Nov 2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning C. Langlotz MedIm 147 767 0 02 Oct 2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks Congbo Ma Hu Wang Guosheng Lin 51 56 0 21 Jul 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 77 230 0 19 Jul 2020
Active Visual Information Gathering for Vision-Language Navigation Hanqing Wang Wenguan Wang Tianmin Shu Wei Liang Jianbing Shen 134 73 0 15 Jul 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza Gabriel Maicas Jacinto C. Nascimento G. Carneiro 60 22 0 21 May 2020
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks Xiankai Lu Wenguan Wang Chao Ma Jianbing Shen Ling Shao Fatih Porikli VOS 88 464 0 19 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 174 1,701 0 16 Feb 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 104 821 0 21 Jan 2019
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 250 1,187 0 27 Jun 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks Sebastian Gündel Sasa Grbic Bogdan Georgescu S. Kevin Zhou L. Ritschl A. Meier Dorin Comaniciu 61 193 0 12 Mar 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 99 2,712 0 14 Nov 2017
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Oscar Li Hao Liu Chaofan Chen Cynthia Rudin 189 593 0 13 Oct 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 188 2,547 0 05 May 2017