mlsanityData to 7 Oct 2026

COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System

arXiv 2403.06242 ↗First posted 10 Mar 2024eess.IV cs.CVcited by 23

Not on the map. Why?

Abstract (arXiv)

Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging modalities. In this paper, we showcase the integration and reliable and fast deployment of a state-of-the-art AI system designed to automatically analyze CT images, offering infection probability for the swift detection of COVID-19. The suggested system, comprising both classification and segmentation components, is anticipated to reduce physicians' detection time and enhance the overall efficiency of COVID-19 detection. We successfully surmounted various challenges, such as data discrepancy and anonymisation, testing the time-effectiveness of the model, and data security, enabling reliable and scalable deployment of the system on both cloud and edge environments. Additionally, our AI system assigns a probability of infection to each 3D CT scan and enhances explainability through anchor set similarity, facilitating timely confirmation and segregation of infected patients by physicians.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). Builds on 24 of its 46 references that are in the map. First posted on arXiv 10 Mar 2024.

Builds on

24 of 46 references.

References · 24

  1. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  2. 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
  3. 2020Analysing Affective Behavior in the First ABAW 2020 Competitioncited by 178
  4. 2021Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Frameworkcited by 174
  5. 2021Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Studycited by 168
  6. 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
  7. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  8. 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
  9. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  10. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  11. 2018Aff-Wild2: Extending the Aff-Wild Database for Affect Recognitioncited by 80
  12. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
12 more
  1. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  2. 2021MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysiscited by 72
  3. 2024Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyondcited by 60
  4. 2019Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcited by 39
  5. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  6. 2018Photorealistic Facial Synthesis in the Dimensional Affect Spacecited by 33
  7. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  8. 2018A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressionscited by 25
  9. 2018Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigmcited by 20
  10. 2022AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imagingcited by 20
  11. 2023BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classificationcited by 20
  12. 2023MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimationcited by 16

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 13; 2025: 5; 2026: 5.

23 papers.

Sort:

  1. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
  2. 2024Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkitcited by 16
  3. 2024SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detectioncited by 14
  4. 2025DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarioscited by 13
  5. 2024Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimationcited by 11
  6. 2024Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility studycited by 8
  7. 2024Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistencycited by 7
  8. 2024Using Prompts to Guide Large Language Models in Imitating a Real Person's Language Stylecited by 6
  9. 2025Multi-Source COVID-19 Detection via Variance Risk Extrapolationcited by 5
  10. 2024Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensationcited by 4
  11. 2025Advancing Lung Disease Diagnosis in 3D CT Scanscited by 4
  12. 2024Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detectioncited by 1
11 more
  1. 2024Complex Style Image Transformations for Domain Generalization in Medical Imagescited by 1
  2. 2025Multi Source COVID-19 Detection via Kernel-Density-based Slice Samplingcited by 1
  3. 2025Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERCcited by 1
  4. 2024GANmut: Generating and Modifying Facial Expressionscited by 0
  5. 2024Multi-Task Learning for Affect Analysiscited by 0
  6. 2024Emotion Detection through Body Gesture and Facecited by 0
  7. 2026A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scanscited by 0
  8. 2026Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosiscited by 0
  9. 2026Clinical Priors Guided Lung Disease Detection in 3D CT Scanscited by 0
  10. 2026Vision-Language Model Based Multi-Expert Fusion for CT Image Classificationcited by 0
  11. 2026Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisationcited by 0