Thoracic Disease Identification and Localization with Limited Supervision

17 November 2017

Papers citing "Thoracic Disease Identification and Localization with Limited Supervision"

29 / 29 papers shown

Title
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images Ashish Verma Aupendu Kar Krishnendu Ghosh S. K. Dhara Debashis Sen P. Biswas MedIm 44 0 0 01 Mar 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection Yun Peng Xiao Lin Nachuan Ma Jiayuan Du Chuangwei Liu Chengju Liu Qi Chen 42 3 0 17 Feb 2025
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 22 0 0 14 Feb 2024
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 35 58 0 23 Oct 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging A. Jaiswal Kumar Ashutosh Justin F. Rousseau Yifan Peng Zhangyang Wang Ying Ding 20 9 0 15 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 23 13 0 13 Oct 2022
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation Ricardo Bigolin Lanfredi Joyce D. Schroeder Tolga Tasdizen 18 2 0 20 Jul 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 21 7 0 23 Apr 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-Zhi Cheng OOD 18 88 0 23 Dec 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 33 14 0 27 Oct 2021
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection Yuhang Liu Fandong Zhang Chaoqi Chen Siwen Wang Yizhou Wang Yizhou Yu MedIm 21 38 0 21 May 2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation Jie Lian Jingyun Liu Shu Zhen Zhang Kai Gao Xiaoqing Liu Dingwen Zhang Yizhou Yu 35 40 0 21 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 44 17 0 01 Apr 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 25 41 0 05 Mar 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification Yi Zhou Lei Huang Tianfei Zhou Ling Shao 25 8 0 26 Feb 2021
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 21 13 0 23 Dec 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing-Wu Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 28 33 0 19 Sep 2020
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies Leo K. Tam Xiaosong Wang E. Turkbey Kevin Lu Yuhong Wen Daguang Xu 25 13 0 31 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 19 75 0 06 Jun 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 20 24 0 07 Feb 2020
Generative Modeling for Small-Data Object Detection Lanlan Liu Michael Muelly Jia Deng Tomas Pfister Li-Jia Li ObjD MedIm 24 63 0 16 Oct 2019
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention Qingyi Tao Z. Ge Jianfei Cai Jianxiong Yin Simon See 3DPC MedIm 13 37 0 09 Jul 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 31 56 0 31 Mar 2019
Attention Based Glaucoma Detection: A Large-scale Database and CNN Model Liu Li Mai Xu Xiaofei Wang Lai Jiang Hanruo Liu 21 202 0 26 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 20 200 0 15 Feb 2019
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang 22 118 0 16 Jul 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays Jinzheng Cai Le Lu Adam P. Harrison Xiaoshuang Shi Pingjun Chen L. Yang 23 54 0 03 Jul 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis V. Cheplygina Marleen de Bruijne J. Pluim 16 744 0 17 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 23 121 0 21 Mar 2018