2 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
GazeSearch: Radiology Findings Search Benchmark
Trong Thang Pham, Tien-Phat Nguyen, Yuki Ikebe +5
Medical eye-tracking data is an important information source for understanding how radiologists visually interpret medical images. This information not only improves the accuracy o…
Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction
Akash Awasthi, Ngan Le, Zhigang Deng +3
Predicting human gaze behavior within computer vision is integral for developing interactive systems that can anticipate user attention, address fundamental questions in cognitive…
Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction
Akash Awasthi, Ngan Le, Zhigang Deng +2
Human-AI collaboration to identify and correct perceptual errors in chest radiographs has not been previously explored. This study aimed to develop a collaborative AI system, CoRaX…
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis
Akash Awasthi, Safwan Ahmad, Bryant Le +1
In the realm of chest X-ray (CXR) image analysis, radiologists meticulously examine various regions, documenting their observations in reports. The prevalence of errors in CXR diag…