The Second International Workshop on Trustworthy Artificial Intelligence for Healthcare (TAI4H)
Accepted papers
An official workshop proceeding is published in the LNCS (Lecture Notes in Computer Science) series of Springer.
The LNCS website for this year's workshop: https://cse.hkust.edu.hk/~jhc/2024tai4h.html
Statistics
In total, we have received a grand total of 21 submissions, out of which 13 have been accepted.
5 long oral presentations
8 short oral presentations
Congratulations to all authors!
Long Oral papers
Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction
Liu, Sicen; Chen, Hao*
Stochastic Featurization for Active Learning
Le, Linh*; Nguyen, Minh-Tien; Tran, Khai; Zhao, Genghong; Zhang, Xia; Zuccon, Guido; Demartini, Gianluca
Evaluating How Explainable AI is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics
Karagoz, Gizem Nur*; van Kollenburg, Geert ; Ozcelebi, Tanir; Meratnia, Nirvana
SnapSeg: Training-Free Few-Shot medical image Segmentation with Segment Anything Model
Yu, Nanxi; CAI, Zhiyuan; Huang, Yijin; Tang, Xiaoying*
SISU: a Holistic Self-Training Framework on Semi-supervised White Blood Cell Segmentation
KHA, HIEN QUANG*; Le, Minh; Thong, Hung; Nguyen, Linh; Tran, Minh; Nguyen, Lam; Le, Khanh
Short Oral papers
AI Trustworthy Challenges in Drug Discovery
Ahadian, Pegah*; Guan, Qiang
ODR3DNet: Omni-dimension Dynamic Residual 3D net for pulmonary nodule detection
Wang, Ying*; Zhang, ZePeng; Tie, Yun; Zhang, Dalong; Qi, Lin
FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
Kumar, Nishant*; Tao, Ziyan; Singh, Jaikirat; li, yang; Sun, Peiwen; Zhao, Binghui; Gumhold, Stefan
Human-in-the-loop Chest X-ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs
Kim, Yunsoo*; Wu, Jinge; Abdulle, Yusuf; Gao, Yue; Wu, Honghan
Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model
Tung, Chuen Y*; Lin, Yi; Jia Ning, Yin; Yu Chen, Ye Qiao; Chen, Hao
Assessing the generalizability of cancer prognosis models: Breast and Colon cancer case studies.
TIZI, Wafaa*; Berrado, Abdelaziz
Optimizing Foundation Models for Histopathology: A Continual Learning Approach to Cancer Detection
Yadav, Ankur R*; Daescu, Ovidiu
RF-Lung-DR: Integrating Biological and Drug SMILES Features in a Random Forest-based Drug Response Predictor for Lung Cancer Cell Lines
Tran, Thi-Oanh; Le, Nguyen Quoc Khanh*