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2020 – today
- 2024
[i31]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 abs/2403.02522 (2024)- [i30]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 abs/2404.18416 (2024) - [i29]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 abs/2405.01563 (2024) - [i28]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 abs/2405.03162 (2024) - [i27]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 abs/2406.06512 (2024) - [i26]Jack W. O'Sullivan, Anil Palepu, Khaled Saab, Wei-Hung Weng, Yong Cheng, Emily Chu, Yaanik Desai, Aly Elezaby, Daniel Seung Kim, Roy Lan, Wilson Tang, Natalie Tapaskar, Victoria Parikh, Sneha S. Jain, Kavita Kulkarni, Philip Mansfield, Dale R. Webster, Juraj Gottweis, Joelle Barral, Mike Schaekermann, Ryutaro Tanno, S. Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam, Euan Ashley, Tao Tu:
Towards Democratization of Subspeciality Medical Expertise. CoRR abs/2410.03741 (2024) - 2023
- [i25]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 abs/2305.05648 (2023) - [i24]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 abs/2308.01317 (2023) - [i23]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 abs/2309.05843 (2023) - 2022
- [b1]Wei-Hung Weng:
Learning Representations for Limited and Heterogeneous Medical Data. MIT, USA, 2022 - 2021
- [c15]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: 3995-4005 - [i22]Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits:
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR abs/2112.02625 (2021) - 2020
- [j2]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): 121-130 (2020) - [c14]Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits:
Entity-Enriched Neural Models for Clinical Question Answering. BioNLP 2020: 112-122 - [c13]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: 732-749 - [c12]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: 913-927 - [c11]Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu:
Addressing the Real-world Class Imbalance Problem in Dermatology. ML4H@NeurIPS 2020: 415-429 - [i21]Wei-Hung Weng, Yu-An Chung, Schrasing Tong:
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. CoRR abs/2003.00353 (2020) - [i20]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 abs/2003.09070 (2020) - [i19]Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits:
Entity-Enriched Neural Models for Clinical Question Answering. CoRR abs/2005.06587 (2020) - [i18]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 abs/2006.15229 (2020) - [i17]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 abs/2009.13081 (2020) - [i16]Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu:
Addressing the Real-world Class Imbalance Problem in Dermatology. CoRR abs/2010.04308 (2020)
2010 – 2019
- 2019
- [c10]Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass:
Towards Unsupervised Speech-to-text Translation. ICASSP 2019: 7170-7174 - [c9]Wei-Hung Weng, Yu-An Chung, Peter Szolovits:
Unsupervised Clinical Language Translation. KDD 2019: 3121-3131 - [c8]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: 61-69 - [c7]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: 249-269 - [c6]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: 2490-2502 - [i15]Wei-Hung Weng, Yu-An Chung, Peter Szolovits:
Unsupervised Clinical Language Translation. CoRR abs/1902.01177 (2019) - [i14]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 abs/1904.02633 (2019) - [i13]Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott:
Publicly Available Clinical BERT Embeddings. CoRR abs/1904.03323 (2019) - [i12]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 abs/1908.05418 (2019) - [i11]Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen:
Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. CoRR abs/1909.07846 (2019) - [i10]Wei-Hung Weng:
Machine Learning for Clinical Predictive Analytics. CoRR abs/1909.09246 (2019) - [i9]Wei-Hung Weng, Peter Szolovits:
Representation Learning for Electronic Health Records. CoRR abs/1909.09248 (2019) - [i8]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 abs/1911.01226 (2019) - 2018
- [c5]Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass:
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. NeurIPS 2018: 7365-7375 - [i7]Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass:
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. CoRR abs/1805.07467 (2018) - [i6]Wei-Hung Weng, Peter Szolovits:
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. CoRR abs/1806.09542 (2018) - [i5]Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass:
Towards Unsupervised Speech-to-Text Translation. CoRR abs/1811.01307 (2018) - [i4]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 abs/1811.08615 (2018) - [i3]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 abs/1812.00699 (2018) - 2017
- [j1]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): 155:1-155:13 (2017) - [c4]Wei-Hung Weng, Kavishwar B. Wagholikar, Henry Chueh:
Computing Performance Analysis on Clinical Document-level Classification. AMIA 2017 - [c3]Wei-Hung Weng, Kavishwar B. Wagholikar, Henry C. Chueh:
Classifiers for Identifying the Medical Specialty of Clinical Documents. CRI 2017 - [i2]Yu-An Chung, Wei-Hung Weng:
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval. CoRR abs/1711.08490 (2017) - [i1]Wei-Hung Weng, Mingwu Gao, Ze He, Susu Yan, Peter Szolovits:
Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. CoRR abs/1712.00654 (2017) - 2016
- [c2]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 - 2015
- [c1]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: 807-811
Coauthor Index
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