Deep Learning for Chest X-ray Analysis: A Survey

15 March 2021

Bram van Ginneken

Papers citing "Deep Learning for Chest X-ray Analysis: A Survey"

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Title
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses Sahil Sethi Sai Reddy Mansi Sakarvadia Jordan Serotte Darlington Nwaudo Nicholas Maassen Lewis Shi 41 0 0 29 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 30 0 0 11 Apr 2025
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
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification Xiangyu Sun Xiaoguang Zou Yuanquan Wu Guotai Wang S. Zhang MedIm VLM 68 0 0 31 Jan 2025
Toward Non-Invasive Diagnosis of Bankart Lesions with Deep Learning Sahil Sethi Sai Reddy Mansi Sakarvadia Jordan Serotte Darlington Nwaudo Nicholas Maassen Lewis Shi 62 3 0 09 Dec 2024
Training Better Deep Learning Models Using Human Saliency Aidan Boyd Patrick J. Tinsley Kevin W. Bowyer A. Czajka 32 0 0 21 Oct 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models Haolin Li Yuhang Zhou Ziheng Zhao Siyuan Du Jiangchao Yao Weidi Xie Ya Zhang Yanfeng Wang 31 1 0 29 Sep 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection Yunkang Cao Jiangning Zhang Luca Frittoli Yuqi Cheng Weiming Shen Giacomo Boracchi VLM 48 28 0 22 Jul 2024
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context Zishan Gu Changchang Yin Fenglin Liu Ping Zhang VLM 23 3 0 03 Jul 2024
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study Anvar Kurmukov V. Chernina Regina Gareeva Maria Dugova Ekaterina Petrash ... A. Shevtsov Alexey Zakharov Talgat Saparov V. Gombolevskiy Mikhail Belyaev AI4CE 19 0 0 12 Jun 2024
Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images M. Khaniki Nazanin Mahjourian Mohammad Manthouri 18 3 0 20 May 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning Jingfeng Yao Xinggang Wang Yuehao Song Huangxuan Zhao Jun Ma Yajie Chen Wenyu Liu Bo Wang ViT 36 5 0 08 May 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni P. Yi Vishwa S. Parekh 26 0 0 30 Apr 2024
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis Akash Awasthi Safwan Ahmad Bryant Le Hien Nguyen 18 0 0 29 Apr 2024
A comparative analysis of deep learning models for lung segmentation on X-ray images Weronika Hryniewska-Guzik Jakub Bilski Bartosz Chrostowski Jakub Drak Sbahi P. Biecek 36 3 0 09 Apr 2024
FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation Benjamin Killeen Liam J. Wang Han-shen Zhang Mehran Armand Russell H. Taylor Dave Dreizin Greg Osgood Mathias Unberath MedIm 30 2 0 12 Mar 2024
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
[Citation needed] Data usage and citation practices in medical imaging conferences Théo Sourget Ahmet Akkocc Stinna Winther Christine Lyngbye Galsgaard Amelia Jiménez-Sánchez Dovile Juodelyte Caroline Petitjean V. Cheplygina 14 2 0 05 Feb 2024
Review of multimodal machine learning approaches in healthcare "Felix H. Krones Umar Marikkar Guy Parsons Adam Szmul Adam Mahdi 32 27 0 04 Feb 2024
Exploring scalable medical image encoders beyond text supervision Fernando Pérez-García Harshita Sharma Sam Bond-Taylor Kenza Bouzid Valentina Salvatelli ... Maria T. A. Wetscherek Noel Codella Stephanie L. Hyland Javier Alvarez-Valle Ozan Oktay LM&MA MedIm 50 9 0 19 Jan 2024
Nodule detection and generation on chest X-rays: NODE21 Challenge Ecem Sogancioglu Bram van Ginneken F. Behrendt M. Bengs Alexander Schlaefer ... N. Hendrix Colin Jacobs Ward Hendrix Clara I. Sánchez K. Murphy 26 9 0 04 Jan 2024
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation Han Yuan Chuan Hong Nguyen Tuan Anh Tran Xinxing Xu Nan Liu 28 7 0 26 Nov 2023
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation Lijian Xu Ziyu Ni Xinglong Liu Xiaosong Wang Hongsheng Li Shaoting Zhang MedIm LM&MA 24 4 0 02 Nov 2023
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images Huyen Tran D. Nguyen John Yearwood MedIm ViT 24 0 0 30 Sep 2023
Gravity Network for end-to-end small lesion detection Ciro Russo Alessandro Bria Claudio Marrocco MedIm 24 0 0 22 Sep 2023
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis Zirui Qiu H. Rivaz Yiming Xiao FAtt 13 4 0 29 Aug 2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Raza Imam Ibrahim Almakky Salma Alrashdi Baketah Alrashdi Mohammad Yaqub AAML 31 1 0 15 Aug 2023
Study of Vision Transformers for Covid-19 Detection from Chest X-rays S. Angara S. Thirunagaru ViT MedIm 16 1 0 17 Jul 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 31 1 0 16 Jul 2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models Michael Wornow Rahul Thapa E. Steinberg Jason Alan Fries N. Shah VLM OOD AI4MH 18 36 0 05 Jul 2023
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images Yanru Chen Michael T Lu V. Raghu SSL 24 0 0 15 Jun 2023
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images Muhammad Usman Akbar Wuhao Wang Anders Eklund DiffM MedIm 23 15 0 12 May 2023
Explainable Knowledge Distillation for On-device Chest X-Ray Classification C. Termritthikun Ayaz Umer Suwichaya Suwanwimolkul Feng Xia Ivan Lee 16 13 0 10 May 2023
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images Lucas Wannenmacher Michael Fitzke Diane U Wilson Andre Dourson ViT MedIm 28 0 0 23 Feb 2023
Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study André Luís Chih-Jou Hsieh Isabel Blanco Nobre Sandra Costa Sousa Anderson Maciel Catarina Moreira Joaquim A. Jorge 24 6 0 06 Feb 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification Iván de Andrés Tamé Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 21 2 0 25 Jan 2023
Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods Astrid Berg E. Vandersmissen M. Wimmer David Major Theresa Neubauer Dimitrios Lenis J. Cant A. Snoeckx Katja Bühler 23 2 0 23 Jan 2023
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism Yu Jing Zixuan Li 15 0 0 15 Nov 2022
Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey M. Rafiei Jenni Raitoharju Alexandros Iosifidis 19 22 0 10 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 32 58 0 23 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text Zifeng Wang Zhenbang Wu Dinesh Agarwal Jimeng Sun CLIP VLM MedIm 29 394 0 18 Oct 2022
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs Gunhee Nam Taesoo Kim Sanghyup Lee Thijs Kooi 14 0 0 13 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 22 45 0 09 Oct 2022
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs Tae Soo Kim Geonwoon Jang Sanghyup Lee Thijs Kooi 25 7 0 30 Sep 2022
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 15 4 0 11 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 12 34 0 07 Sep 2022
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs F. Behrendt Debayan Bhattacharya Julia Kruger R. Opfer Alexander Schlaefer ViT MedIm 13 5 0 17 Aug 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 14 8 0 28 Jun 2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays Yu Cai Hao Chen Xin Yang Yu Zhou Wuhan 11 17 0 08 Jun 2022
Membership Inference Attack Using Self Influence Functions Gilad Cohen Raja Giryes TDI 25 12 0 26 May 2022