Shih-Cheng Huang
Orcid: 0000-0001-9882-833X
According to our database1,
Shih-Cheng Huang
authored at least 31 papers
between 2018 and 2024.
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Bibliography
2024
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.
CoRR, 2024
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024
TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans. Medical Imaging, 2023
Self-supervised learning for medical image classification: a systematic review and implementation guidelines.
npj Digit. Medicine, 2023
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
npj Digit. Medicine, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
npj Digit. Medicine, 2022
General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning.
CoRR, 2022
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation.
Proceedings of the Machine Learning for Health, 2022
2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR, 2021
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations.
CoRR, 2021
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines.
npj Digit. Medicine, 2020
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020
2019
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.
PLoS Comput. Biol., 2019
Distributed Current Source Method for Modeling Magnetic and Eddy-Current Fields induced in Biological Object.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018