Title
Congenital Heart Disease recognition using Deep Learning/Transformer models Aidar Amangeldi Vladislav Yarovenko Angsar Taigonyrov MedIm 25 0 0 13 May 2025
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking Yu-Jen Chen Xueyang Li Yiyu Shi T. Ho 16 0 0 13 May 2025
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification Asmaa Abbas M. Gaber M. Abdelsamea 27 0 0 03 May 2025
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation Linshan Wu Yuxiang Nie Sunan He Jiaxin Zhuang Hao Chen LM&MA MedIm 73 0 0 30 Apr 2025
CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models Hasan Md Tusfiqur Alam Devansh Srivastav Abdulrahman Mohamed Selim Md Abdul Kadir Md Moktadiurl Hoque Shuvo Daniel Sonntag MedIm 40 0 0 29 Apr 2025
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets Santanu Roy Ashvath Suresh Palak Sahu Tulika Rudra Gupta 29 0 0 10 Apr 2025
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? Julio Silva-Rodríguez Jose Dolz Ismail ben Ayed VLM MedIm 31 0 0 07 Apr 2025
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging Abderrachid Hamrani Anuradha Godavarty MedIm 39 0 0 23 Mar 2025
Artificial Intelligence-Driven Prognostic Classification of COVID-19 Using Chest X-rays: A Deep Learning Approach Alfred Simbun Suresh Kumar 46 0 0 17 Mar 2025
COVID 19 Diagnosis Analysis using Transfer Learning Anjali Dharmik 50 0 0 16 Mar 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 43 0 0 14 Mar 2025
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models Yuchen Mao Hongwei Bran Li Yinyi Lai G. Papanastasiou Peng Qi Yunjie Yang Chengjia Wang VLM 47 1 0 10 Mar 2025
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation Aishik Konwer Zhijian Yang Erhan Bas Cao Xiao Prateek Prasanna Parminder Bhatia Taha A. Kass-Hout MedIm VLM 56 0 0 06 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 55 0 0 05 Mar 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents Shayan Kiyani George Pappas Aaron Roth Hamed Hassani 107 3 0 04 Feb 2025
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification Minhee Jang Juheon Son Thanaporn Viriyasaranon Junho Kim Jang-Hwan Choi MedIm 29 0 0 17 Nov 2024
Large Language Model Benchmarks in Medical Tasks Lawrence K. Q. Yan Ming Li Y. Zhang Caitlyn Heqi Yin Cheng Fei ... Ziqian Bi Pohsun Feng Keyu Chen Junyu Liu Qian Niu LM&MA AI4MH 51 5 0 28 Oct 2024
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images Omar Hesham Khater Abdullahi Sani Shuaib Sami Ul Haq Abdul Jabbar Siddiqui 15 0 0 20 Oct 2024
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19 Danny Falero Muhammad Ashad Kabir Nusrat Homaira 21 0 0 16 Oct 2024
A foundation model for generalizable disease diagnosis in chest X-ray images Lijian Xu Ziyu Ni Hao Sun Hongsheng Li Shaoting Zhang LM&MA MedIm 26 1 0 11 Oct 2024
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model Duy M. H. Nguyen N. T. Diep Trung Q. Nguyen Hoang-Bao Le Tai Nguyen ... Pengtao Xie Roger Wattenhofer James Zhou Daniel Sonntag Mathias Niepert VLM 55 3 0 03 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 23 3 0 03 Oct 2024
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation Lijian Xu Hao Sun Ziyu Ni Hongsheng Li Shaoting Zhang LM&MA 21 3 0 29 Sep 2024
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 41 6 0 28 Sep 2024
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models Sheng Cheng Zbigniew A. Starosolski Devika Subramanian SSL 29 0 0 30 Aug 2024
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation Jonggwon Park Soobum Kim Byungmu Yoon Jihun Hyun Kyoyun Choi LM&MA 20 4 0 29 Aug 2024
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning Md. Asiful Islam Miah Shourin Paul Sunanda Das M. M. A. Hashem 27 0 0 12 Aug 2024
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning Josiah D. Couch R. Arnaout Rima Arnaout 26 0 0 22 Jul 2024
Universal Medical Imaging Model for Domain Generalization with Data Privacy Ahmed Radwan Islam I. Osman Mohamed S. Shehata 19 1 0 20 Jul 2024
Improving Representation of High-frequency Components for Medical Visual Foundation Models Yuetan Chu Yilan Zhang Zhongyi Han Changchun Yang Longxi Zhou Gongning Luo Chao Huang Xin Gao MedIm 39 1 0 19 Jul 2024
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training Guillermo Jiménez-Pérez Pedro Osório Josef Cersovsky Javier Montalt-Tordera Jens Hooge Steffen Vogler Sadegh Mohammadi MedIm 37 2 0 16 Jul 2024
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection Chenwei Wu David Restrepo Zitao Shuai Zhongming Liu Liyue Shen VLM 33 1 0 15 Jul 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 48 3 0 23 May 2024
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations? Mateusz Cedro Marcin Chlebus 33 1 0 14 May 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 26 5 0 24 Apr 2024
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao VLM MedIm 34 9 0 29 Mar 2024
MEDBind: Unifying Language and Multimodal Medical Data Embeddings Yuan Gao Sangwook Kim David E Austin Chris McIntosh 32 3 0 19 Mar 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM Yutao Hu Tian-Xin Li Quanfeng Lu Wenqi Shao Junjun He Yu Qiao Ping Luo ELM LM&MA 32 50 0 14 Feb 2024
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation P. Singh Jacopo Cirrone 6 0 0 04 Feb 2024
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images Sayed Amir Mousavi Mobarakeh K. Kazemi A. Aarabi H. Danyali 32 2 0 13 Jan 2024
Federated Learning for distribution skewed data using sample weights Hung Nguyen Peiyuan Wu Morris Chang OOD FedML 14 5 0 05 Jan 2024
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics Ammar A. Siddiqui Santosh Tirunagari Tehseen Zia David Windridge MedIm 22 1 0 02 Jan 2024
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification Saurabh Agarwal K. Arya Y. Meena 13 2 0 01 Jan 2024
Large-scale Long-tailed Disease Diagnosis on Radiology Images Qiaoyu Zheng Weike Zhao Chaoyi Wu Xiaoman Zhang Lisong Dai Hengyu Guan Yuehua Li Ya-Qin Zhang Yanfeng Wang Weidi Xie LM&MA MedIm 32 5 0 26 Dec 2023
COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification V. Esmaeili Mahmood Mohassel Feghhi S. Shahdi LM&MA 20 1 0 20 Dec 2023
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations Yitao Peng Lianghua He D. Hu Yihang Liu Longzhen Yang Shaohua Shang FAtt 10 0 0 04 Dec 2023
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture Md. Alamin Talukder Md. Abu Layek Mohsin Kazi Md. Ashraf Uddin Sunil Aryal 25 46 0 28 Nov 2023
How much data do I need? A case study on medical data Ayse Betul Cengiz A. Mcgough 11 2 0 26 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 30 6 0 14 Nov 2023
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection Fabiha Bushra M. E. Chowdhury Rusab Sarmun Saidul Kabir Menatalla Said S. Zoghoul Adam Mushtak Israa Al-Hashimi Abdulrahman Alqahtani Anwarul Hasan 10 8 0 09 Nov 2023