GazeGNN: a gaze-guided graph neural network for chest x-ray classification.
Wang, Bin, et al.
WACV 2024 ·
Cite this work
Wang, Bin, et al. (2024). GazeGNN: a gaze-guided graph neural network for chest x-ray classification. WACV 2024
BibTeXRelated publications
All publicationsValidating synthetically generated medical scans through human perceptual assessment & eye-tracking
David Wong, Bin Wang, Gorkem Durak, Halil Ertugrul Aktas, Marouane Tliba, Hatice Savas, Elizabeth Krupinski, Ulas Bagci
ARRS 2026
Predicting pulmonary fibrosis risk in post-COVID patients using deep learning and radiomics on CT
Wanying Dou, Andrea Bejar, Halil Ertugrul Aktas, Gorkem Durak, Elif Keles, Drew Torigian, Jayaram Udupa, Ulas Bagci
ARRS 2026
Handling supervision scarcity in chest x-ray classification: long-tailed and zero-shot learning
Ha-Hieu Pham, Hai-Dang Nguyen, Thanh-Huy Nguyen, Min Xu, Ulas Bagci, Trung-Nghia Le, Huy-Hieu Pham
IEEE ISBI 2026
GazeVaLM: a multi-observer eye-tracking benchmark for evaluating clinical realism in AI-generated x-rays
David Wong, Zeynep Isik, Bin Wang, Marouane Tliba, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Aladine Chetouani, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric Hart, Elizabeth Krupinski, Ulas Bagci
ACM ETRA 2026
Deep learning for pulmonary embolism prognosis from CT imaging: a multicenter evaluation
H Aktas, B Gultekin, V Sharma, A Kirkoglu, O Cetin, K Akin, Z Tuz, N Alibeyoglu, U Durak, K Arisin, R Eren, E Niksarlioglu, N Senkal, M Erelel, A Medetalibeyoglu, S Erturk, G Durak, U Bagci
ATS 2026