Wei-Hung Weng

According to our database, Wei-Hung Weng authored at least 36 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

HeAR - Health Acoustic Representations.

Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila

CoRR, 2024

2023

Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals.

Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi

CoRR, 2023

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.

Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren

CoRR, 2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning.

Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila

CoRR, 2023

2021

Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View.

Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits

CoRR, 2021

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

Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Determining Follow-Up Imaging Study Using Radiology Reports.

Sandeep Dalal, Vadiraj Hombal, Wei-Hung Weng, Gabe Mankovich, Thusitha De Silva Mabotuwana, Christopher S. Hall, Joseph Fuller, Bruce E. Lehnert, Martin L. Gunn

J. Digit. Imaging, 2020

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

Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits

CoRR, 2020

Entity-Enriched Neural Models for Clinical Question Answering.

Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits

CoRR, 2020

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging.

Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir

CoRR, 2020

Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification.

Wei-Hung Weng, Yu-An Chung, Schrasing Tong

CoRR, 2020

Addressing the Real-world Class Imbalance Problem in Dermatology.

Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu

Proceedings of the Machine Learning for Health Workshop, 2020

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

Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits

Proceedings of the Machine Learning for Healthcare Conference, 2020

Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging.

Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir

Proceedings of the Machine Learning for Healthcare Conference, 2020

Entity-Enriched Neural Models for Clinical Question Answering.

Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019

Human-centric Metric for Accelerating Pathology Reports Annotation.

Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai

CoRR, 2019

Representation Learning for Electronic Health Records.

Wei-Hung Weng, Peter Szolovits

CoRR, 2019

Machine Learning for Clinical Predictive Analytics.

Wei-Hung Weng

CoRR, 2019

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction.

Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen

CoRR, 2019

Publicly Available Clinical BERT Embeddings.

Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

CoRR, 2019

Park: An Open Platform for Learning-Augmented Computer Systems.

Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Clinically Accurate Chest X-Ray Report Generation.

Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2019

Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery.

Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Unsupervised Clinical Language Translation.

Wei-Hung Weng, Yu-An Chung, Peter Szolovits

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Unsupervised Speech-to-text Translation.

Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability.

Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng

CoRR, 2018

Unsupervised Multimodal Representation Learning across Medical Images and Reports.

Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits

CoRR, 2018

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment.

Wei-Hung Weng, Peter Szolovits

CoRR, 2018

Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces.

Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, Henry C. Chueh

BMC Medical Informatics Decis. Mak., 2017

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients.

Wei-Hung Weng, Mingwu Gao, Ze He, Susu Yan, Peter Szolovits

CoRR, 2017

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

Yu-An Chung, Wei-Hung Weng

CoRR, 2017

Classifiers for Identifying the Medical Specialty of Clinical Documents.

Wei-Hung Weng, Kavishwar B. Wagholikar, Henry C. Chueh

Proceedings of the Summit on Clinical Research Informatics, 2017

Computing Performance Analysis on Clinical Document-level Classification.

Wei-Hung Weng, Kavishwar B. Wagholikar, Henry Chueh

Proceedings of the AMIA 2017, 2017

2016

Improving the Workflow of Curbside Consultation by Using Unstructured Clinical Notes - a Natural Language and Machine Learning-based Approach.

Wei-Hung Weng, Avni Khatri, Kavishwar B. Wagholikar, Adam Cohen, Henry Chueh

Proceedings of the AMIA 2016, 2016

2015

Nuclei location enhancement based on improved efficient ellipse Hough transform for third harmonic generation microscopy imaging.

Yi-Hsuan Chou, Shi-Yu Hung, Gwo Giun Chris Lee, Wei-Hung Weng, Yi-Hua Liao, Chi-Kung Sun, Han-Ting Shih

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015