mlsanityData to 7 Oct 2026

Robust COVID-19 Detection in CT Images with CLIP

arXiv 2403.08947 ↗First posted 13 Mar 2024eess.IV cs.CVcited by 12

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Abstract (arXiv)

In the realm of medical imaging, particularly for COVID-19 detection, deep learning models face substantial challenges such as the necessity for extensive computational resources, the paucity of well-annotated datasets, and a significant amount of unlabeled data. In this work, we introduce the first lightweight detector designed to overcome these obstacles, leveraging a frozen CLIP image encoder and a trainable multilayer perception (MLP). Enhanced with Conditional Value at Risk (CVaR) for robustness and a loss landscape flattening strategy for improved generalization, our model is tailored for high efficacy in COVID-19 detection. Furthermore, we integrate a teacher-student framework to capitalize on the vast amounts of unlabeled data, enabling our model to achieve superior performance despite the inherent data limitations. Experimental results on the COV19-CT-DB dataset demonstrate the effectiveness of our approach, surpassing baseline by up to 10.6% in `macro' F1 score in supervised learning. The code is available at https://github.com/Purdue-M2/COVID-19_Detection_M2_PURDUE.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 21 of its 39 references that are in the map. First posted on arXiv 13 Mar 2024.

Builds on

21 of 39 references.

References · 21

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Sharpness-Aware Minimization for Efficiently Improving Generalizationcited by 1,404
  3. 2022MedCLIP: Contrastive Learning from Unpaired Medical Images and Textcited by 564
  4. 2023CLIP-Driven Universal Model for Organ Segmentation and Tumor Detectioncited by 224
  5. 2020Large-Scale Methods for Distributionally Robust Optimizationcited by 179
  6. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  7. 2021MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysiscited by 72
  8. 2024Preserving Fairness Generalization in Deepfake Detectioncited by 70
  9. 2020Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19cited by 62
  10. 2021DORO: Distributional and Outlier Robust Optimizationcited by 54
  11. 2023Improving Fairness in Deepfake Detectioncited by 40
  12. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
9 more
  1. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  2. 2020Learning by Minimizing the Sum of Ranked Rangecited by 27
  3. 2021TkML-AP: Adversarial Attacks to Top-k Multi-Label Learningcited by 26
  4. 2022Rank-based Decomposable Losses in Machine Learning: A Surveycited by 26
  5. 2021Sum of Ranked Range Loss for Supervised Learningcited by 23
  6. 2023CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Predictioncited by 16
  7. 2022Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographicscited by 14
  8. 2022PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systemscited by 10
  9. 2023Outlier Robust Adversarial Trainingcited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 6; 2025: 2; 2026: 4.

12 papers.

  1. 2024LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Modelscited by 31
  2. 2024Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Imagescited by 20
  3. 2024UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentationcited by 15
  4. 2024Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detectioncited by 11
  5. 2024An Explainable Non-local Network for COVID-19 Diagnosiscited by 5
  6. 2025MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Modelscited by 5
  7. 2025Robust Fairness Vision-Language Learning for Medical Image Analysiscited by 4
  8. 2024An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentationcited by 3
  9. 2026Robust Multi-Source Covid-19 Detection in CT Imagescited by 0
  10. 2026Weight Group-wise Post-Training Quantization for Medical Foundation Modelcited by 0
  11. 2026Robust Fair Disease Diagnosis in CT Imagescited by 0
  12. 2026Improving Cross-Site Whole-Heart Segmentationcited by 0