Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs

19 July 2018

Xiaosong Wang

Papers citing "Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs"

50 / 57 papers shown

Title
CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Fengchun Liu Tong Zhang Chunying Zhang 47 0 0 23 Apr 2025
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models Hu Wang Ibrahim Almakky Congbo Ma Numan Saeed Mohammad Yaqub MoMe 132 0 0 27 Feb 2025
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang Allan Zhou Zhili Feng Sadhika Malladi J. Zico Kolter 95 22 0 15 Oct 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 70 0 0 05 Aug 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images Tiange Xiang Yixiao Zhang Yongyi Lu Alan Yuille Chaoyi Zhang Weidong Cai Zongwei Zhou 82 3 0 13 Mar 2024
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling Philip Muller Felix Meissen Georgios Kaissis Daniel Rueckert 57 3 0 19 Feb 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 87 0 0 14 Feb 2024
Curriculum for Crowd Counting -- Is it Worthy? Muhammad Asif Khan Hamid Menouar R. Hamila 63 1 0 15 Jan 2024
A survey on bias in machine learning research Agnieszka Mikołajczyk-Bareła M. Grochowski AI4CE FaML 118 5 0 22 Aug 2023
Coaching a Teachable Student Jimuyang Zhang Zanming Huang Eshed Ohn-Bar 98 24 0 16 Jun 2023
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition Guoli Wang Pingping Wang Jinyu Cong Kun-Meng Liu Benzheng Wei 51 3 0 22 Feb 2023
CLIP: Train Faster with Less Data Muhammad Asif Khan R. Hamila Hamid Menouar VLM 118 5 0 02 Dec 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 77 61 0 23 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 6 0 06 Oct 2022
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift Yijun Dong Yuege Xie Rachel A. Ward OOD 76 1 0 04 Oct 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning Soumen Basu Mayank Gupta Pratyaksha Rana Pankaj Gupta Chetan Arora 64 32 0 25 Apr 2022
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection Tiange Xiang Yixiao Zhang Yongyi Lu Alan Yuille Chaoyi Zhang Weidong (Tom) Cai Zongwei Zhou UQCV 111 43 0 26 Nov 2021
On the Statistical Benefits of Curriculum Learning Ziping Xu Ambuj Tewari 48 9 0 13 Nov 2021
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images Jun Luo G. Kitamura Emine Doganay Dooman Arefan Shandong Wu MedIm 35 11 0 20 Oct 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels Mintong Kang Bowen Li Zengle Zhu Yongyi Lu Elliot K. Fishman Alan Yuille Zongwei Zhou 81 18 0 25 Sep 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 109 11 0 14 Jul 2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation Andre Liew C. Lee B. Lan Maxine Tan 24 11 0 08 Jul 2021
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 74 94 0 06 Jul 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis Kangning Liu Yiqiu Shen Nan Wu Jakub Chledowski C. Fernandez‐Granda Krzysztof J. Geras 87 23 0 13 Jun 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays Uday Kamal Mohammad Zunaed N. Nizam Taufiq Hasan 63 28 0 10 Jun 2021
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification Jiansheng Fang Yanwu Xu Yitian Zhao Yuguang Yan Junling Liu Jiang-Dong Liu 54 9 0 26 May 2021
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment Sebastian Gündel A. Setio Florin-Cristian Ghesu Sasa Grbic Bogdan Georgescu Andreas Maier Dorin Comaniciu NoLa 70 28 0 12 Apr 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 90 60 0 28 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 184 360 0 25 Jan 2021
Deep learning in the ultrasound evaluation of neonatal respiratory status M. Gravina Diego Gragnaniello L. Verdoliva Giovanni Poggi I. Corsini ... G. Lista S. Aversa F. Raimondi F. Migliaro Carlo Sansone 20 3 0 31 Oct 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 91 22 0 25 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs C. Seibold Jens Kleesiek H. Schlemmer Rainer Stiefelhagen SSL 46 6 0 30 Sep 2020
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 39 18 0 31 Jul 2020
Learning Visual Context by Comparison Minchul Kim Jongchan Park Seil Na C. Park Donggeun Yoo 35 11 0 15 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy Mannudeep K. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 63 55 0 08 Jul 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 89 78 0 06 Jun 2020
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling Wenwu Ye Jin Yao Hui Xue Yi Li WSOL 54 66 0 29 May 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza Gabriel Maicas Jacinto C. Nascimento G. Carneiro 83 22 0 21 May 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 77 15 0 25 Apr 2020
Models Genesis Zongwei Zhou V. Sodha Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm 75 33 0 09 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays Xin Li Chengyin Li D. Zhu 64 78 0 06 Apr 2020
Medical-based Deep Curriculum Learning for Improved Fracture Classification Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 53 48 0 01 Apr 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels Daizong Liu Shuangjie Xu Pan Zhou Kun He Wei Wei Zichuan Xu 32 1 0 26 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej A. Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 93 71 0 12 Feb 2020
Bone Suppression on Chest Radiographs With Adversarial Learning Jia Wen Liang Yuxing Tang Youbao Tang Jing Xiao Ronald M. Summers MedIm 92 13 0 08 Feb 2020
Convolutional neural networks model improvements using demographics and image processing filters on chest x-rays M. Abdullah Mir Muhammad Abdur Rahman M. Assadullah 16 0 0 30 Nov 2019
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays Yuxing Tang Youbao Tang V. Sandfort Jing Xiao Ronald M. Summers ViT MedIm 65 40 0 21 Aug 2019
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization M. R. Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang GAN MedIm 80 91 0 16 Aug 2019
Deep Multi Label Classification in Affine Subspaces T. Kurmann Pablo Márquez-Neila Sebastian Wolf Raphael Sznitman 55 5 0 10 Jul 2019
A self-attention based deep learning method for lesion attribute detection from CT reports Yifan Peng Ke Yan V. Sandfort Ronald M. Summers Zhiyong Lu MedIm 42 18 0 30 Apr 2019