Wei-Hung Weng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Natural Language

Question Answering

Microscopy Imaging

Top Venues

Publications

Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden
Advancing Multimodal Medical Capabilities of Gemini. CoRR (2024)
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
Capabilities of Gemini Models in Medicine. CoRR (2024)
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
HeAR - Health Acoustic Representations. CoRR (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR (2024)
Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev
Mitigating LLM Hallucinations via Conformal Abstention. CoRR (2024)
Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. CoRR (2023)
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
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR (2023)
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
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR (2023)
Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR (2021)
Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV (2021)
Wei-Hung Weng, Yu-An Chung, Schrasing Tong
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. CoRR (2020)
Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits
Entity-Enriched Neural Models for Clinical Question Answering. CoRR (2020)
Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output. MLHC (2020)
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging. CoRR (2020)
Sandeep Dalal, Vadiraj Hombal, Wei-Hung Weng, Gabe Mankovich, Thusitha De Silva Mabotuwana, Christopher S. Hall, Joseph Fuller, Bruce E. Lehnert, Martin L. Gunn
Determining Follow-Up Imaging Study Using Radiology Reports. J. Digit. Imaging 33 (1) (2020)
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. MLHC (2020)
Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
Addressing the Real-world Class Imbalance Problem in Dermatology. CoRR (2020)
Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
Addressing the Real-world Class Imbalance Problem in Dermatology. ML4H@NeurIPS (2020)
Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output. CoRR (2020)
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. CoRR (2020)
Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits
Entity-Enriched Neural Models for Clinical Question Answering. BioNLP (2020)
Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery. AIRT@MICCAI (2019)
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
Clinically Accurate Chest X-Ray Report Generation. MLHC (2019)
Wei-Hung Weng, Peter Szolovits
Representation Learning for Electronic Health Records. CoRR (2019)
Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
Towards Unsupervised Speech-to-text Translation. ICASSP (2019)
Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai
Human-centric Metric for Accelerating Pathology Reports Annotation. CoRR (2019)
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott
Publicly Available Clinical BERT Embeddings. CoRR (2019)
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
Clinically Accurate Chest X-Ray Report Generation. CoRR (2019)
Wei-Hung Weng, Yu-An Chung, Peter Szolovits
Unsupervised Clinical Language Translation. KDD (2019)
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
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS (2019)
Wei-Hung Weng
Machine Learning for Clinical Predictive Analytics. CoRR (2019)
Wei-Hung Weng, Yu-An Chung, Peter Szolovits
Unsupervised Clinical Language Translation. CoRR (2019)
Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen
Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. CoRR (2019)
Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery. CoRR (2019)
Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
Towards Unsupervised Speech-to-Text Translation. CoRR (2018)
Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits
Unsupervised Multimodal Representation Learning across Medical Images and Reports. CoRR (2018)
Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR (2018)
Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. CoRR (2018)
Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. NeurIPS (2018)
Wei-Hung Weng, Peter Szolovits
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. CoRR (2018)
Yu-An Chung, Wei-Hung Weng
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval. CoRR (2017)
Wei-Hung Weng, Kavishwar B. Wagholikar, Henry Chueh
Computing Performance Analysis on Clinical Document-level Classification. AMIA (2017)
Wei-Hung Weng, Kavishwar B. Wagholikar, Henry C. Chueh
Classifiers for Identifying the Medical Specialty of Clinical Documents. CRI (2017)
Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, Henry C. Chueh
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Wei-Hung Weng, Mingwu Gao, Ze He, Susu Yan, Peter Szolovits
Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. CoRR (2017)
Wei-Hung Weng, Avni Khatri, Kavishwar B. Wagholikar, Adam Cohen, Henry Chueh
Improving the Workflow of Curbside Consultation by Using Unstructured Clinical Notes - a Natural Language and Machine Learning-based Approach. AMIA (2016)
Yi-Hsuan Chou, Shi-Yu Hung, Gwo Giun Chris Lee, Wei-Hung Weng, Yi-Hua Liao, Chi-Kung Sun, Han-Ting Shih
Nuclei location enhancement based on improved efficient ellipse Hough transform for third harmonic generation microscopy imaging. ChinaSIP (2015)