Weng, Wei-Hung

Publicly Available Clinical

Alsentzer, E., Murphy, J., Boag, W., Weng, W.-H., Jindi, D., Naumann, T., & McDermott, M. (2019) · Proceedings of the 2nd Clinical Natural Language Processing Workshop

Machine Learning in HealthcareTopic Modeling

Cited by 1,736

What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams

Jin, D., Pan, E., Oufattole, N., Weng, W.-H., Fang, H., & Szolovits, P. (2021) · Applied Sciences

Topic ModelingInformation Retrieval and Search Behavior

Cited by 718

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Jin, D., Pan, E., Oufattole, N., Weng, W.-H., Fang, H., & Szolovits, P. (2021) · Applied Sciences

Topic ModelingInformation Retrieval and Search Behavior

Cited by 718

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images

Chen, R. J., Lu, M. Y., Weng, W.-H., Chen, T. Y., Williamson, D. F., Manz, T., Shady, M., & Mahmood, F. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 398

Accelerating scientific discovery with Co-Scientist

Gottweis, J., Weng, W.-H., Daryin, A., Tu, T., Sirkovic, P., Myaskovsky, A., Glowaty, G., Weissenberger, F., Orlandi, A., Popovici, D., et al. (2025) · arXiv

Computational Drug Discovery MethodsArtificial Intelligence Applications

Cited by 158

Capabilities of Gemini Models in Medicine

Saab, K., Tu, T., Weng, W.-H., Tanno, R., Stutz, D., Wulczyn, E., Zhang, F., Strother, T., Park, C., Vedadi, E., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 117

Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval

Chung, Y.-A., & Weng, W.-H. (2017) · arXiv

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 58

AI mirrors experimental science to uncover a novel mechanism of gene transfer crucial to bacterial evolution

Penadés, J. R., Gottweis, J., He, L., Patkowski, J. B., Shurick, A., Weng, W.-H., Tu, T., Palepu, A., Myaskovsky, A., Pawlosky, A., et al. (2025) · Cell

Bacteriophages and microbial interactionsArtificial Intelligence Applications

Cited by 42

AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution

Penadés, J. R., Gottweis, J., He, L., Patkowski, J. B., Daryin, A., Weng, W.-H., Tu, T., Palepu, A., Myaskovsky, A., Pawlosky, A., et al. (2025) · Cell

Bacteriophages and microbial interactionsArtificial Intelligence Applications

Cited by 42

Advancing Multimodal Medical Capabilities of Gemini

Yang, L., Xu, S., Sellergren, A., Kohlberger, T., Zhou, Y., Ktena, I., Kiraly, A., Ahmed, F., Hormozdiari, F., Jaroensri, T., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 34

CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output

McDermott, M. B. A., Hsu, T. M. H., Weng, W.-H., Ghassemi, M., & Szolovits, P. (2020) · arXiv

COVID-19 diagnosis using AIMultimodal Machine Learning Applications

Cited by 22

Mitigating LLM Hallucinations via Conformal Abstention

Yadkori, Y. A., Kuzborskij, I., Stutz, D., György, A., Fisch, A., Doucet, A., Beloshapka, I., Weng, W.-H., Yang, Y.-Y., Szepesvári, C., et al. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 2