Title
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer Xinran Li Yu Liu Xiujuan Xu Xiaowei Zhao ViT MedIm 23 0 0 16 May 2025
Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification Daniel Strick Carlos Garcia Anthony Huang LM&MA 35 0 0 10 May 2025
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings Alexander Davis Rafael Souza Jia-Hao Lim 139 0 0 03 May 2025
AI Recommendations and Non-instrumental Image Concerns David Almog 33 0 0 26 Apr 2025
Evaluating and Mitigating Bias in AI-Based Medical Text Generation Xiuying Chen Tairan Wang Juexiao Zhou Zirui Song Xin Gao Jiahui Geng MedIm 47 1 0 24 Apr 2025
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data Xun Zhu Fanbin Mo Zheng Zhang J. Wang Yiming Shi Ming Wu Chuang Zhang Miao Li Ji Wu 32 0 0 14 Apr 2025
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks Junfei Wu Hao Yang Xinhua Zeng Guibing He Zhengzhang Chen Zhu Li Xinming Zhang Yangyang Ma Run Fang Yang Liu LRM 151 0 0 12 Apr 2025
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation Amit Rand Hadi Ibrahim MedIm 57 0 0 03 Apr 2025
AI-Driven MRI Spine Pathology Detection: A Comprehensive Deep Learning Approach for Automated Diagnosis in Diverse Clinical Settings Bargava Subramanian Naveen Kumarasami Praveen Shastry Raghotham Sripadraj Kalyan Sivasailam Anandakumar D Abinaya Ramachandran Sudhir MP Gunakutti G Kishore Prasath Venkatesh 56 0 0 26 Mar 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 48 0 0 14 Mar 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 46 0 0 01 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 76 0 0 27 Feb 2025
Optimizing CNN Architectures for Advanced Thoracic Disease Classification Tejas Mirthipati AI4CE 40 0 0 15 Feb 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 32 2 0 07 Nov 2024
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach Alireza Saber Pouria Parhami Alimihammad Siahkarzadeh Amirreza Fateh Amirreza Fateh ViT MedIm 56 9 0 08 Aug 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 45 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
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging Pranab Sahoo Ashutosh Tripathi Sriparna Saha S. Mondal 48 0 0 08 Jul 2024
Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule Xinhao Fan S. P. Mysore 37 0 0 23 May 2024
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification Yaoqin Ye Junjie Zhang Hongwei Shi MedIm VLM 49 0 0 10 May 2024
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder Lei Li Tianfang Zhang Xinglin Zhang Jiaqi Liu Bingqi Ma Yan-chun Luo Tao Chen MedIm 40 0 0 07 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 29 3 0 19 Feb 2024
AI Oversight and Human Mistakes: Evidence from Centre Court David Almog Romain Gauriot Lionel Page Daniel Martin 34 6 0 30 Jan 2024
Ensemble Interpretation: A Unified Method for Interpretable Machine Learning Chao Min Guoyong Liao Guo-quan Wen Yingjun Li Xing Guo FAtt 9 0 0 11 Dec 2023
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data David R. Bellamy Bhawesh Kumar Cindy Wang Andrew L. Beam MedIm 36 3 0 09 Dec 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
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images Aditya Kulkarni Guruprasad Parasnis Harish Balasubramanian Vansh Jain Anmol Chokshi Reena Sonkusare LM&MA 9 1 0 09 Oct 2023
CoVid-19 Detection leveraging Vision Transformers and Explainable AI Pangoth Santhosh Kumar Kundrapu Supriya Mallikharjuna Rao Krishna Teja Malisetti ViT MedIm 22 2 0 29 Jul 2023
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification Aryan Singh Pepijn Van de Ven Ciarán Eising Patrick Denny GNN 25 2 0 24 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 31 8 0 08 Jul 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 18 19 0 06 Jul 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis Divyam Madaan D. Sodickson K. Cho S. Chopra OOD MedIm 35 1 0 23 Jun 2023
An empirical study of using radiology reports and images to improve ICU mortality prediction Ming-Yen Lin Song Wang Ying Ding Lihui Zhao Fei Wang Yifan Peng 33 10 0 20 Jun 2023
WindowNet: Learnable Windows for Chest X-ray Classification Alessandro Wollek Sardi Hyska B. Sabel Michael Ingrisch Tobias Lasser 21 2 0 09 Jun 2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics Hong-Yu Zhou Yizhou Yu Chengdi Wang Shu Zhen Zhang Yuanxu Gao Jia-Yu Pan Jun Shao Guangming Lu Kang Zhang Weimin Li MedIm 24 150 0 01 Jun 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems Cara Van Uden Jeremy Irvin Mars Huang N. Dean J. Carr A. Ng C. Langlotz OOD 32 1 0 13 May 2023
Scientists' Perspectives on the Potential for Generative AI in their Fields Meredith Ringel Morris AI4CE 33 38 0 04 Apr 2023
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? Adnan Qayyum Muhammad Bilal Muhammad Hadi Paweł Capik Massimo Caputo H. Vohra Ala I. Al-Fuqaha Junaid Qadir 34 6 0 25 Mar 2023
Local Contrastive Learning for Medical Image Recognition S. A. Rizvi Ruixiang Tang X. Jiang X. Ma X. Hu 33 6 0 24 Mar 2023
Capabilities of GPT-4 on Medical Challenge Problems Harsha Nori Nicholas King S. McKinney Dean Carignan Eric Horvitz LM&MA ELM AI4MH 43 767 0 20 Mar 2023
A general-purpose AI assistant embedded in an open-source radiology information system S. Purkayastha Rohan Isaac Sharon Anthony Shikhar Shukla Elizabeth A. Krupinski Joshua A. Danish J. Gichoya 14 2 0 18 Mar 2023
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification Alessandro Wollek Robert Graf Saša Čečatka N. Fink Theresa Willem B. Sabel Tobias Lasser 18 27 0 03 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya Zhang Yanfeng Wang Weidi Xie MedIm 44 121 0 27 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 27 27 0 10 Feb 2023
Explainable AI does not provide the explanations end-users are asking for Savio Rozario G. Cevora XAI 20 0 0 25 Jan 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 38 8 0 19 Dec 2022
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 29 21 0 19 Dec 2022
Balanced Split: A new train-test data splitting strategy for imbalanced datasets A. Khan 17 6 0 17 Dec 2022
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants Isil Guzey Ozlem Ucar N. A. Çiftdemir B. Acunaş 23 1 0 17 Dec 2022
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 11 2 0 15 Dec 2022