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1st TAI4H 2024: Jeju, South Korea
- Hao Chen
, Yuyin Zhou
Trustworthy Artificial Intelligence for Healthcare - Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings. Lecture Notes in Computer Science 14812, Springer 2024, ISBN 978-3-031-67750-2 - Pegah Ahadian
AI Trustworthy Challenges in Drug Discovery. 1-12 - Ying Wang, Yun Tie, Dalong Zhang, Zepeng Zhang, Lin Qi:
ODR3DNet: Omni-Dimension Dynamic Residual 3D Net for Pulmonary Nodule Detection. 13-24 - Sicen Liu, Hao Chen:
Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction. 25-39 - Nishant Kumar, Ziyan Tao, Jaikirat Singh, Yang Li, Peiwen Sun, Binghui Zhao, Stefan Gumhold:
FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring. 40-51 - Linh Le
Stochastic Featurization for Active Learning. 52-65 - Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao
Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs. 66-80 - Chuenyuet Tung, Yi Lin, Jianing Yin, Qiaoyuchen Ye, Hao Chen:
Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model. 81-91 - Gizem Karagoz, Geert H. van Kollenburg
Evaluating How Explainable AI Is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics. 92-108 - Nanxi Yu
SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model. 109-122 - Wafaa Tizi, Abdelaziz Berrado:
Assessing the Generalizability of Cancer Prognosis Models: Breast and Colon Cancer Case Studies. 123-133 - Quang-Hien Kha, Minh Huu Nhat Le, Lam Huu Phuc Nguyen, Minh Nguyen Tuan Tran, Linh My Nguyen, Hung Quay Thong, Nguyen-Quoc-Khanh Le:
SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation. 134-144 - Ankur Yadav
Optimizing Foundation Models for Histopathology: A Continual Learning Approach to Cancer Detection. 145-156 - Thi-Oanh Tran, Quang-Hien Kha, Nguyen-Quoc-Khanh Le
RF-Lung-DR: Integrating Biological and Drug SMILES Features in a Random Forest-Based Drug Response Predictor for Lung Cancer Cell Lines. 157-167
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