Learning to diagnose from scratch by exploiting dependencies among labels

28 October 2017

Papers citing "Learning to diagnose from scratch by exploiting dependencies among labels"

50 / 88 papers shown

Title
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks Carlos Arizmendi Jorge Pinto Alejandro Arboleda Hernando Gonzalez 53 1 0 03 Mar 2025
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models Hu Wang Ibrahim Almakky Congbo Ma Numan Saeed Mohammad Yaqub MoMe 74 0 0 27 Feb 2025
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 40 0 0 05 Aug 2024
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks Anubhav Gupta Islam I. Osman Mohamed S. Shehata John W. Braun 29 1 0 20 Jul 2024
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture Sonit Singh MedIm ViT 27 1 0 18 Apr 2024
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification S. M. N. Ashraf Md. Adyelullahil Mamun Hasnat Md. Abdullah Rabiul Alam ViT MedIm 13 7 0 13 Nov 2023
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images Şaban Öztürk M. Y. Turali Tolga Çukur MedIm ViT 46 10 0 09 Oct 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 24 3 0 22 Feb 2023
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies Ryan Wang Li-Ching Chen L. Moukheiber Mira Moukheiber Dana Moukheiber ... Hari M. Trivedi R. Steinberg Po-Chih Kuo J. Gichoya Leo Anthony Celi 11 1 0 13 Nov 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
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 26 4 0 06 Oct 2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays Yan Han G. Holste Ying Ding Ahmed H. Tewfik Yifan Peng Zhangyang Wang LM&MA ViT 31 15 0 10 Jul 2022
User Trust on an Explainable AI-based Medical Diagnosis Support System Yao Rong N. Castner Efe Bozkir Enkelejda Kasneci 13 8 0 26 Apr 2022
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification Ajay Jaiswal Liyan Tang Meheli Ghosh J. Rousseau Yifan Peng Ying Ding MedIm 25 15 0 28 Oct 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 36 14 0 27 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 25 18 0 25 Sep 2021
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs Nasir Hayat Hazem Lashen Farah E. Shamout 57 21 0 14 Jul 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 25 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 17 28 0 12 Apr 2021
A Relational-learning Perspective to Multi-label Chest X-ray Classification Anjany Sekuboyina Daniel Oñoro-Rubio Jens Kleesiek Brandon Malone 10 6 0 10 Mar 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 30 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 28 8 0 26 Feb 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations Tao Wei Angelica I Aviles-Rivero Shuo Wang Yuan Huang F. Gilbert Carola-Bibiane Schönlieb Chia-Ju Chen MedIm 18 15 0 20 Jan 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 24 13 0 23 Dec 2020
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review Tahira Iqbal A. Shaukat M. Akram Zartasha Mustansar 16 10 0 21 Dec 2020
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images M. J. Horry Subrata Chakraborty B. Pradhan M. Paul D. Gomes Anwaar-ul Haq 23 11 0 10 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification Xuan Gong Xin Xia Wentao Zhu Baochang Zhang David Doermann Lian Zhuo OOD MedIm 22 24 0 07 Dec 2020
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays Yan Han Chongyan Chen Liyan Tang Mingquan Lin Ajay Jaiswal Song Wang Ahmed H. Tewfik George Shih Ying Ding Yifan Peng LM&MA 18 9 0 25 Nov 2020
On the diminishing return of labeling clinical reports Jean-Baptiste Lamare Tobi Olatunji Linxing Yao 18 2 0 27 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray diagnostics Nabit A. Bajwa Kedar Bajwa A. Rana Muhammad Faique Shakeel K. Haqqi Suleiman A. Khan OOD 16 0 0 17 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 13 6 0 30 Sep 2020
A Computer Vision Approach to Combat Lyme Disease Sina Akbarian Tania Cawston Laurent Moreno Samir B. Patel Vanessa Allen Elham Dolatabadi 6 2 0 24 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 34 33 0 19 Sep 2020
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach Hung Le Phuong Nguyen T. Nguyen K. Le Thanh-Thien Nguyen MedIm 9 2 0 13 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies Haomin Chen S. Miao Daguang Xu Gregory Hager Adam P. Harrison 19 28 0 11 Sep 2020
Evaluating Knowledge Transfer in Neural Network for Medical Images Sina Akbarian Laleh Seyyed-Kalantari Farzad Khalvati Elham Dolatabadi 18 16 0 31 Aug 2020
PneumoXttention: A CNN compensating for Human Fallibility when Detecting Pneumonia through CXR images with Attention Sanskriti Singh 6 2 0 11 Aug 2020
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation S. Guendel A. Setio Sasa Grbic Andreas Maier Dorin Comaniciu 6 3 0 05 Aug 2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks Congbo Ma Hu Wang Guosheng Lin 9 56 0 21 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 M. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 23 55 0 08 Jul 2020
Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning Shuai Zhang Xiaoyan Xin Yang Wang Yachong Guo Q. Hao Xianfeng Yang Jun Wang Jian Zhang Bing Zhang Wei Wang MedIm 6 1 0 18 Jun 2020
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning Arman Haghanifar Mahdiyar Molahasani Younhee Choi S. Deivalakshmi Seokbum Ko 16 4 0 16 Jun 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 27 75 0 06 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 20 163 0 25 May 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza Gabriel Maicas Jacinto C. Nascimento G. Carneiro 21 22 0 21 May 2020
Deep learning classification of chest x-ray images M. S. Majdi K. Salman Michael F. Morris Nirav C. Merchant Jeffrey J. Rodríguez 14 12 0 19 May 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 30 220 0 15 May 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening A. Chakravarty Tandra Sarkar N. Ghosh Ramanathan Sethuraman Debdoot Sheet 17 12 0 24 Apr 2020
CovidAID: COVID-19 Detection Using Chest X-Ray Arpan Mangal Surya Kalia Harish Rajgopal K. Rangarajan Vinay P. Namboodiri Subhashis Banerjee Chetan Arora OOD 17 150 0 21 Apr 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks Zhichao Lu Kalyanmoy Deb Vishnu Naresh Boddeti 22 44 0 31 Mar 2020