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 (ChinaSIP, 2015)

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 (AMIA, 2016)

Computing Performance Analysis on Clinical Document-level Classification. - Wei-Hung Weng; Kavishwar B. Wagholikar; Henry Chueh (AMIA, 2017)

Classifiers for Identifying the Medical Specialty of Clinical Documents. - Wei-Hung Weng; Kavishwar B. Wagholikar; Henry C. Chueh (CRI, 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)

Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. - Wei-Hung Weng; Mingwu Gao; Ze He; Susu Yan; Peter Szolovits (CoRR, 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)

Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. - Yu-An Chung; Wei-Hung Weng; Schrasing Tong; James R. Glass (NeurIPS, 2018)

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. - Wei-Hung Weng; Peter Szolovits (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)

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)

Towards Unsupervised Speech-to-text Translation. - Yu-An Chung; Wei-Hung Weng; Schrasing Tong; James R. Glass (ICASSP, 2019)

Unsupervised Clinical Language Translation. - Wei-Hung Weng; Yu-An Chung; Peter Szolovits (KDD, 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 (AIRT@MICCAI, 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 (MLHC, 2019)

Park: An Open Platform for Learning-Augmented Computer Systems. - Hongzi Mao; Parimarjan Negi; Akshay Narayan 001; Hanrui Wang 002; Jiacheng Yang; Haonan Wang; Ryan Marcus; Ravichandra Addanki; Mehrdad Khani Shirkoohi; Songtao He; Vikram Nathan; Frank Cangialosi; et al. (NeurIPS, 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)

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. - Wei-Hung Weng; Yuannan Cai; Angela Lin; Fraser Tan; Po-Hsuan Cameron Chen (CoRR, 2019)

Machine Learning for Clinical Predictive Analytics. - Wei-Hung Weng (CoRR, 2019)

Representation Learning for Electronic Health Records. - Wei-Hung Weng; Peter Szolovits (CoRR, 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)

Entity-Enriched Neural Models for Clinical Question Answering. - Bhanu Pratap Singh Rawat; Wei-Hung Weng; So Yeon Min; Preethi Raghavan; Peter Szolovits (BioNLP, 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 (MLHC, 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 (MLHC, 2020)

Addressing the Real-world Class Imbalance Problem in Dermatology. - Wei-Hung Weng; Jonathan Deaton; Vivek Natarajan; Gamaleldin F. Elsayed; Yuan Liu (ML4H@NeurIPS, 2020)

Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. - Wei-Hung Weng; Yu-An Chung; Schrasing Tong (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 032; Viksit Kumar; Anthony E. Samir (CoRR, 2020)

Entity-Enriched Neural Models for Clinical Question Answering. - Bhanu Pratap Singh Rawat; Wei-Hung Weng; Preethi Raghavan; Peter Szolovits (CoRR, 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)

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)

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 001 (ICCV, 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)

Learning Representations for Limited and Heterogeneous Medical Data - Wei-Hung Weng (2022)

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; et al. (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; et al. (CoRR, 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)

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; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Mitigating LLM Hallucinations via Conformal Abstention. - Yasin Abbasi-Yadkori; Ilja Kuzborskij; David Stutz; András György 001; Adam Fisch; Arnaud Doucet; Iuliya Beloshapka; Wei-Hung Weng; Yao-Yuan Yang; Csaba Szepesvári; Ali Taylan Cemgil; Nenad Tomasev (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - 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; et al. (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - 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; et al. (CoRR, 2024)

Towards Democratization of Subspeciality Medical Expertise. - Jack W. O'Sullivan; Anil Palepu; Khaled Saab 003; Wei-Hung Weng; Yong Cheng; Emily Chu; Yaanik Desai; Aly Elezaby; Daniel Seung Kim; Roy Lan; Wilson Tang; Natalie Tapaskar; et al. (CoRR, 2024)

Exploring Large Language Models for Specialist-level Oncology Care. - Anil Palepu; Vikram Dhillon; Polly Niravath; Wei-Hung Weng; Preethi Prasad; Khaled Saab 003; Ryutaro Tanno; Yong Cheng; Hanh Mai; Ethan Burns; Zainub Ajmal; Kavita Kulkarni; et al. (CoRR, 2024)

SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness. - Anvita A. Srinivas; Tuomas P. Oikarinen; Divyansh Srivastava; Wei-Hung Weng; Tsui-Wei Weng (WACV, 2025)

Towards an AI co-scientist. - Juraj Gottweis; Wei-Hung Weng; Alexander N. Daryin; Tao Tu 001; Anil Palepu; Petar Sirkovic; Artiom Myaskovsky; Felix Weissenberger; Keran Rong; Ryutaro Tanno; Khaled Saab 003; Dan Popovici; et al. (CoRR, 2025)

Towards Conversational AI for Disease Management. - Anil Palepu; Valentin Liévin; Wei-Hung Weng; Khaled Saab 003; David Stutz; Yong Cheng; Kavita Kulkarni; S. Sara Mahdavi; Joelle K. Barral; Dale R. Webster; Katherine Chou; Avinatan Hassidim; et al. (CoRR, 2025)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - Elahe Vedadi; David G. T. Barrett; Natalie Harris; Ellery Wulczyn; Shashir Reddy; Roma Ruparel; Mike Schaekermann; Tim Strother; Ryutaro Tanno; Yash Sharma; Jihyeon Lee; Cían Hughes; et al. (CoRR, 2025)