Ten Simple Rules for Reproducible Research in Jupyter Notebooks. - Adam Rule; Amanda Birmingham; Cristal Zuñiga; Ilkay Altintas; Shih-Cheng Huang; Rob Knight 001; Niema Moshiri; Mai H. Nguyen; Sara Brin Rosenthal; Fernando Pérez; Peter W. Rose (CoRR, 2018)

Distributed Current Source Method for Modeling Magnetic and Eddy-Current Fields induced in Biological Object. - Chun-Yeon Lin; Kok-Meng Lee; Yuan-Liang Chen; Shih-Cheng Huang (AIM, 2019)

Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. - Adam Rule; Amanda Birmingham; Cristal Zuñiga; Ilkay Altintas; Shih-Cheng Huang; Rob Knight 001; Niema Moshiri; Mai H. Nguyen; Sara Brin Rosenthal; Fernando Pérez; Peter W. Rose (PLoS Comput. Biol., 2019)

Bio-Magnetic/Eddy-Current Sensor Design for Biological Object Detection. - Chun-Yeon Lin; Yi-Chin Wu; Yuan-Liang Chen; Shih-Cheng Huang (AIM, 2020)

PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. - Shih-Cheng Huang; Anuj Pareek; Saeed Seyyedi; Imon Banerjee; Matthew P. Lungren (npj Digit. Medicine, 2020)

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. - Shih-Cheng Huang; Liyue Shen; Matthew P. Lungren; Serena Yeung (ICCV, 2021)

Reading Race: AI Recognises Patient's Racial Identity In Medical Images. - Imon Banerjee; Ananth Reddy Bhimireddy; John L. Burns; Leo Anthony Celi; Li-Ching Chen; Ramon Correa; Natalie Dullerud; Marzyeh Ghassemi; Shih-Cheng Huang; Po-Chih Kuo; Matthew P. Lungren; Lyle J. Palmer; et al. (CoRR, 2021)

OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. - Anirudh Joshi; Sabri Eyuboglu; Shih-Cheng Huang; Jared Dunnmon; Arjun Soin; Guido A. Davidzon; Akshay Chaudhari; Matthew P. Lungren (CoRR, 2021)

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. - Yuyin Zhou; Shih-Cheng Huang; Jason Alan Fries; Alaa Youssef; Timothy J. Amrhein; Marcello Chang; Imon Banerjee; Daniel L. Rubin; Lei Xing 001; Nigam Shah; Matthew P. Lungren (CoRR, 2021)

Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. - Yuhui Zhang; Shih-Cheng Huang; Zhengping Zhou; Matthew P. Lungren; Serena Yeung (ML4H@NeurIPS, 2022)

Few-shot Prompting Towards Controllable Response Generation. - Hsuan Su; Po-Han Chi; Shih-Cheng Huang; Ho-Lam Chung; Saurav Sahay; Shang-Tse Chen; Hung-Yi Lee (CoRR, 2022)

General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning. - Shih-Cheng Huang; Shih-Heng Wang; Min-Han Shih; Saurav Sahay; Hung-yi Lee (CoRR, 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2022)

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation. - Jiangdian Song; Shih-Cheng Huang; Brendan Kelly; Guanqun Liao; Jingyun Shi; Ning Wu; Weimin Li 003; Zaiyi Liu; Lei Cui 008; Matthew P. Lungren; Michael E. Moseley; Peng Gao; et al. (IEEE J. Biomed. Health Informatics, 2022)

Diagnosing and Rectifying Vision Models using Language. - Yuhui Zhang; Jeff Z. HaoChen; Shih-Cheng Huang; Kuan-Chieh Wang; James Zou 001; Serena Yeung (ICLR, 2023)

Video pretraining advances 3D deep learning on chest CT tasks. - Alexander Ke; Shih-Cheng Huang; Chloe O'Connell; Michal Klimont; Serena Yeung; Pranav Rajpurkar (MIDL, 2023)

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Curtis P. Langlotz; Matthew P. Lungren; Serena Yeung; Nigam Shah; Jason Alan Fries (NeurIPS, 2023)

LOVM: Language-Only Vision Model Selection. - Orr Zohar; Shih-Cheng Huang; Kuan-Chieh Wang; Serena Yeung (NeurIPS, 2023)

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors. - Kathryn Wantlin; Chenwei Wu 006; Shih-Cheng Huang; Oishi Banerjee; Farah Dadabhoy; Veeral Vipin Mehta; Ryan Wonhee Han; Fang Cao; Raja R. Narayan; Errol Colak; Adewole S. Adamson; Laura Heacock; et al. (CoRR, 2023)

Chat Vector: A Simple Approach to Equip LLMs With New Language Chat Capabilities. - Shih-Cheng Huang; Pin-Zu Li; Yu-Chi Hsu; Kuang-Ming Chen; Yu-Tung Lin; Shih-Kai Hsiao; Richard Tzong-Han Tsai; Hung-yi Lee (CoRR, 2023)

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis. - Shih-Cheng Huang; Zepeng Huo; Ethan Steinberg; Chia-Chun Chiang; Matthew P. Lungren; Curtis P. Langlotz; Serena Yeung; Nigam H. Shah; Jason A. Fries (CoRR, 2023)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2023)

Self-supervised learning for medical image classification: a systematic review and implementation guidelines. - Shih-Cheng Huang; Anuj Pareek; Malte E. K. Jensen; Matthew P. Lungren; Serena Yeung; Akshay S. Chaudhari (npj Digit. Medicine, 2023)

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. - Rui Yan; Liangqiong Qu; Qingyue Wei; Shih-Cheng Huang; Liyue Shen; Daniel L. Rubin; Lei Xing 001; Yuyin Zhou (IEEE Trans. Medical Imaging, 2023)

Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages. - Shih-Cheng Huang; Pin-Zu Li; Yu-Chi Hsu; Kuang-Ming Chen; Yu-Tung Lin; Shih-Kai Hsiao; Richard Tzong-Han Tsai; Hung-yi Lee (ACL (1), 2024)

TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens. - Hsin-Yi Hsieh; Shih-Cheng Huang; Richard Tzong-Han Tsai (EMNLP (Findings), 2024)

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning. - Shih-Cheng Huang; Shih-Heng Wang; Min-Han Shih; Saurav Sahay; Hung-yi Lee (NAACL (Student Research Workshop), 2024)

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. - Juan Manuel Zambrano Chaves; Shih-Cheng Huang; Yanbo Xu; Hanwen Xu; Naoto Usuyama; Sheng Zhang 012; Fei Wang 060; Yujia Xie; Mahmoud Khademi; Ziyi Yang; Hany Hassan Awadalla; Julia Gong; et al. (CoRR, 2024)

CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats. - Pierre J. Chambon; Jean-Benoit Delbrouck; Thomas Sounack; Shih-Cheng Huang; Zhihong Chen; Maya Varma; Steven Q. H. Truong; Chu The Chuong; Curtis P. Langlotz (CoRR, 2024)

Overcoming Training Data Scarcity in Routing Demand Prediction via Ensemble Learning. - Yu-Guang Chen; Shih-Cheng Huang; Cheng-Hong Tsai; De-Shiun Fu; Mango Chia-Tso Chao (ACM Great Lakes Symposium on VLSI, 2025)

Latch-Up Over-Current Protection Design with Power Restarted Function. - Shih-Cheng Huang; Ming-Dou Ker (IRPS, 2025)

Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. - Ren-Wei Liang; Chin-Ting Hsu; Chan-Hung Yu; Saransh Agrawal; Shih-Cheng Huang; Shang-Tse Chen; Kuan-Hao Huang; Shao-Hua Sun (CoRR, 2025)