Wei-Hung Weng - RankMe

57 papers A* 4A 1Misc 3Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic. CoRR Peter G. Brodeur, Jacob M. Koshy, Anil Palepu, Khaled Saab, Ava Homiar, Roma Ruparel, Charles Wu, Ryutaro Tanno, Joseph Xu, Amy Wang, David Stutz, Wei-Hung Weng, Hannah M. Ferrera, David G. T. Barrett, Lindsey Crowley, Jihyeon Lee, Spencer E. Rittner, Ellery Wulczyn, Selena K. Zhang, Elahe Vedadi, Christine G. Kohn, Kavita Kulkarni, Vinay Kadiyala, S. Sara Mahdavi, Wendy Du, Jessica M. Williams, David Feinbloom, Renee Wong, Tao Tu, Petar Sirkovic, Alessio Orlandi, Christopher Semturs, Yun Liu, Juraj Gottweis, Dale R. Webster, Joëlle Barral, Katherine Chou, Pushmeet Kohli, Avinatan Hassidim, Yossi Matias, James Manyika, Rob Fields, Jonathan X. Li, Marc L. Cohen, Vivek Natarajan, Mike Schaekermann, Alan Karthikesalingam, Adam Rodman
2025	J	`jnl`	Advancing Conversational Diagnostic AI with Multimodal Reasoning. CoRR Khaled Saab, 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, Roma Ruparel, Abdullah Ahmed, Elahe Vedadi, Kimberly Kanada, Cían Hughes, Yun Liu, Geoff Brown, Yang Gao, Sean Li, S. Sara Mahdavi, James Manyika, Katherine Chou, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Pushmeet Kohli, S. M. Ali Eslami, Joelle K. Barral, Adam Rodman, Vivek Natarajan, Mike Schaekermann, Tao Tu, Alan Karthikesalingam, Ryutaro Tanno
2025	J	`jnl`	Complementary Human-AI Clinical Reasoning in Ophthalmology. CoRR Mertcan Sevgi, Fares Antaki, Abdullah Zafar Khan, Ariel Yuhan Ong, David Adrian Merle, Kuang Hu, Shafi Balal, Sophie-Christin Kornelia Ernst, Josef Huemer, Gabriel T. Kaufmann, Hagar Khalid, Faye Levina, Celeste Limoli, Ana Paula Ribeiro Reis, Samir Touma, Anil Palepu, Khaled Saab, Ryutaro Tanno, Valentin Liévin, Tao Tu, Yong Cheng, Mike Schaekermann, S. Sara Mahdavi, Elahe Vedadi, David Stutz, Vivek Natarajan, Alan Karthikesalingam, Pearse A. Keane, Wei-Hung Weng
2025	A	`conf`	SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness. WACV Anvita A. Srinivas, Tuomas P. Oikarinen, Divyansh Srivastava, Wei-Hung Weng, Tsui-Wei Weng
2025	J	`jnl`	Towards Conversational AI for Disease Management. CoRR Anil Palepu, Valentin Liévin, Wei-Hung Weng, Khaled Saab, David Stutz, Yong Cheng, Kavita Kulkarni, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Katherine Chou, Avinatan Hassidim, Yossi Matias, James Manyika, Ryutaro Tanno, Vivek Natarajan, Adam Rodman, Tao Tu, Alan Karthikesalingam, Mike Schaekermann
2025	J	`jnl`	Towards an AI co-scientist. CoRR Juraj Gottweis, Wei-Hung Weng, Alexander N. Daryin, Tao Tu, Anil Palepu, Petar Sirkovic, Artiom Myaskovsky, Felix Weissenberger, Keran Rong, Ryutaro Tanno, Khaled Saab, Dan Popovici, Jacob Blum, Fan Zhang, Katherine Chou, Avinatan Hassidim, Burak Gokturk, Amin Vahdat, Pushmeet Kohli, Yossi Matias, Andrew Carroll, Kavita Kulkarni, Nenad Tomasev, Yuan Guan, Vikram Dhillon, Eeshit Dhaval Vaishnav, Byron Lee, Tiago R. D. Costa, José R. Penadés, Gary Peltz, Yunhan Xu, Annalisa Pawlosky, Alan Karthikesalingam, Vivek Natarajan
2025	J	`jnl`	Towards physician-centered oversight of conversational diagnostic AI. CoRR 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, Dylan Slack, Anil Palepu, Jan Freyberg, Khaled Saab, Valentin Liévin, Wei-Hung Weng, Tao Tu, Yun Liu, Nenad Tomasev, Kavita Kulkarni, S. Sara Mahdavi, Kelvin Guu, Joelle K. Barral, Dale R. Webster, James Manyika, Avinatan Hassidim, Katherine Chou, Yossi Matias, Pushmeet Kohli, Adam Rodman, Vivek Natarajan, Alan Karthikesalingam, David Stutz
2024	J	`jnl`	Advancing Multimodal Medical Capabilities of Gemini. CoRR 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
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR 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
2024	J	`jnl`	Exploring Large Language Models for Specialist-level Oncology Care. CoRR Anil Palepu, Vikram Dhillon, Polly Niravath, Wei-Hung Weng, Preethi Prasad, Khaled Saab, Ryutaro Tanno, Yong Cheng, Hanh Mai, Ethan Burns, Zainub Ajmal, Kavita Kulkarni, Philip Mansfield, Dale R. Webster, Joelle K. Barral, Juraj Gottweis, Mike Schaekermann, S. Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam, Tao Tu
2024	J	`jnl`	HeAR - Health Acoustic Representations. CoRR 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
2024	J	`jnl`	Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR 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
2024	J	`jnl`	Mitigating LLM Hallucinations via Conformal Abstention. CoRR 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
2024	J	`jnl`	Towards Democratization of Subspeciality Medical Expertise. CoRR 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 K. Barral, Mike Schaekermann, Ryutaro Tanno, S. Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam, Euan A. Ashley, Tao Tu
2023	J	`jnl`	ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR 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
2023	J	`jnl`	Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. CoRR Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi
2023	J	`jnl`	Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR 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
2022	—	`—`	Learning Representations for Limited and Heterogeneous Medical Data Wei-Hung Weng
2021	J	`jnl`	Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
2021	A*	`conf`	Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
2020	—	`conf`	Addressing the Real-world Class Imbalance Problem in Dermatology. ML4H@NeurIPS Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
2020	J	`jnl`	Addressing the Real-world Class Imbalance Problem in Dermatology. CoRR Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
2020	—	`conf`	CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output. MLHC Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
2020	J	`jnl`	CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output. CoRR Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
2020	J	`jnl`	Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. CoRR Wei-Hung Weng, Yu-An Chung, Schrasing Tong
2020	J	`jnl`	Determining Follow-Up Imaging Study Using Radiology Reports. J. Digit. Imaging Sandeep Dalal, Vadiraj Hombal, Wei-Hung Weng, Gabe Mankovich, Thusitha De Silva Mabotuwana, Christopher S. Hall, Joseph Fuller, Bruce E. Lehnert, Martin L. Gunn
2020	—	`conf`	Entity-Enriched Neural Models for Clinical Question Answering. BioNLP Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits
2020	J	`jnl`	Entity-Enriched Neural Models for Clinical Question Answering. CoRR Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits
2020	—	`conf`	Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. MLHC Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir
2020	J	`jnl`	Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging. CoRR Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir
2020	J	`jnl`	What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. CoRR Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits
2019	—	`conf`	Clinically Accurate Chest X-Ray Report Generation. MLHC Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
2019	J	`jnl`	Clinically Accurate Chest X-Ray Report Generation. CoRR Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
2019	J	`jnl`	Human-centric Metric for Accelerating Pathology Reports Annotation. CoRR Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai
2019	J	`jnl`	Machine Learning for Clinical Predictive Analytics. CoRR Wei-Hung Weng
2019	J	`jnl`	Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. CoRR Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen
2019	—	`conf`	Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery. AIRT@MICCAI Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu
2019	J	`jnl`	Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery. CoRR Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu
2019	A*	`conf`	Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS 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
2019	J	`jnl`	Publicly Available Clinical BERT Embeddings. CoRR Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott
2019	J	`jnl`	Representation Learning for Electronic Health Records. CoRR Wei-Hung Weng, Peter Szolovits
2019	Misc	`conf`	Towards Unsupervised Speech-to-text Translation. ICASSP Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
2019	A*	`conf`	Unsupervised Clinical Language Translation. KDD Wei-Hung Weng, Yu-An Chung, Peter Szolovits
2019	J	`jnl`	Unsupervised Clinical Language Translation. CoRR Wei-Hung Weng, Yu-An Chung, Peter Szolovits
2018	J	`jnl`	Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. CoRR Wei-Hung Weng, Peter Szolovits
2018	J	`jnl`	Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng
2018	J	`jnl`	Towards Unsupervised Speech-to-Text Translation. CoRR Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
2018	A*	`conf`	Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. NeurIPS Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
2018	J	`jnl`	Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces. CoRR Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James R. Glass
2018	J	`jnl`	Unsupervised Multimodal Representation Learning across Medical Images and Reports. CoRR Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott, Peter Szolovits
2017	—	`conf`	Classifiers for Identifying the Medical Specialty of Clinical Documents. CRI Wei-Hung Weng, Kavishwar B. Wagholikar, Henry C. Chueh
2017	Misc	`conf`	Computing Performance Analysis on Clinical Document-level Classification. AMIA Wei-Hung Weng, Kavishwar B. Wagholikar, Henry Chueh
2017	J	`jnl`	Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval. CoRR Yu-An Chung, Wei-Hung Weng
2017	J	`jnl`	Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Medical Informatics Decis. Mak. Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, Henry C. Chueh
2017	J	`jnl`	Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. CoRR Wei-Hung Weng, Mingwu Gao, Ze He, Susu Yan, Peter Szolovits
2016	Misc	`conf`	Improving the Workflow of Curbside Consultation by Using Unstructured Clinical Notes - a Natural Language and Machine Learning-based Approach. AMIA Wei-Hung Weng, Avni Khatri, Kavishwar B. Wagholikar, Adam Cohen, Henry Chueh
2015	—	`conf`	Nuclei location enhancement based on improved efficient ellipse Hough transform for third harmonic generation microscopy imaging. ChinaSIP Yi-Hsuan Chou, Shi-Yu Hung, Gwo Giun Chris Lee, Wei-Hung Weng, Yi-Hua Liao, Chi-Kung Sun, Han-Ting Shih