The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review
B Ibragimov, C Mello-Thoms - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Machine learning (ML) has revolutionized medical image-based diagnostics. In this review,
we cover a rapidly emerging field that can be potentially significantly impacted by ML–eye …
we cover a rapidly emerging field that can be potentially significantly impacted by ML–eye …
Enhancing human-computer interaction in chest x-ray analysis using vision and language model with eye gaze patterns
Abstract Recent advancements in Computer Assisted Diagnosis have shown promising
performance in medical imaging tasks, particularly in chest X-ray analysis. However, the …
performance in medical imaging tasks, particularly in chest X-ray analysis. However, the …
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
Accurate detection of vulvovaginal candidiasis is critical for women's health, yet its sparse
distribution and visually ambiguous characteristics pose significant challenges for accurate …
distribution and visually ambiguous characteristics pose significant challenges for accurate …
Frozen Large-scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction
Breast cancer is a pervasive global health concern among women. Leveraging multimodal
data from enterprise patient databases-including Picture Archiving and Communication …
data from enterprise patient databases-including Picture Archiving and Communication …
Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning
The increasing incidence and mortality of breast cancer pose significant global challenges
for women. Deep learning (DL) has shown superior diagnostic performance in breast cancer …
for women. Deep learning (DL) has shown superior diagnostic performance in breast cancer …
Gaze Assistance For Efficient Segmentation Correction Of Medical Images
L Khaertdinova, T Shmykova, I Pershin… - IEEE …, 2025 - ieeexplore.ieee.org
The segmentation of medical images is an important step in various diagnostic applications,
including abnormality detection and radiotherapy planning. Recent developments in …
including abnormality detection and radiotherapy planning. Recent developments in …
Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs
In the realm of artificial intelligence-assisted diagnostics, recent advances in foundational
models have shown great promise, particularly in medical image computing. However, the …
models have shown great promise, particularly in medical image computing. However, the …
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis
Eye-gaze tracking research offers significant promise in enhancing various healthcare-
related tasks, above all in medical image analysis and interpretation. Eye tracking, a …
related tasks, above all in medical image analysis and interpretation. Eye tracking, a …
Gaze-Directed Vision GNN for Mitigating Shortcut Learning in Medical Image
Deep neural networks have demonstrated remarkable performance in medical image
analysis. However, its susceptibility to spurious correlations due to shortcut learning raises …
analysis. However, its susceptibility to spurious correlations due to shortcut learning raises …