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Publication search results
found 20,995 matches
- 2023
- Han Yu, Peikun Guo, Akane Sano:
Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation. ML4H@NeurIPS 2023: 650-663 - Muhammad Muneeb Afzal, Muhammad Osama Khan, Shujaat Mirza:
Towards Equitable Kidney Tumor Segmentation: Bias Evaluation and Mitigation. ML4H@NeurIPS 2023: 13-26 - Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter:
Representing visual classification as a linear combination of words. ML4H@NeurIPS 2023: 27-38 - Ali Behrouz, Farnoosh Hashemi:
Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity. ML4H@NeurIPS 2023: 39-51 - Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Multi-modal Graph Learning over UMLS Knowledge Graphs. ML4H@NeurIPS 2023: 52-81 - Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, Amir Feder:
LLMs Accelerate Annotation for Medical Information Extraction. ML4H@NeurIPS 2023: 82-100 - Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. ML4H@NeurIPS 2023: 101-128 - Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes:
A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data. ML4H@NeurIPS 2023: 129-144 - Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen:
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer:
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. ML4H@NeurIPS 2023: 157-189 - Nivetha Jayakumar, Jiarui Xing, Tonmoy Hossain, Frederick H. Epstein, Kenneth C. Bilchick, Miaomiao Zhang:
Activation From Sparse 2D Cardiac MRIs. ML4H@NeurIPS 2023: 190-200 - Prajwal Kailas, Max Homilius, Rahul C. Deo, Calum A. MacRae:
NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text. ML4H@NeurIPS 2023: 201-216 - Muhammad Osama Khan, Muhammad Muneeb Afzal, Shujaat Mirza, Yi Fang:
How Fair are Medical Imaging Foundation Models? ML4H@NeurIPS 2023: 217-231 - Sameer Tajdin Khanna, Daniel Michael, Marinka Zitnik, Pranav Rajpurkar:
Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining. ML4H@NeurIPS 2023: 232-243 - Ryan King, Tianbao Yang, Bobak J. Mortazavi:
Multimodal Pretraining of Medical Time Series and Notes. ML4H@NeurIPS 2023: 244-255 - Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. ML4H@NeurIPS 2023: 256-267 - Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch:
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. ML4H@NeurIPS 2023: 268-291 - Bingnan Li, Zhitong Gao, Xuming He:
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. ML4H@NeurIPS 2023: 292-306 - Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski:
Anytime-valid inference in N-of-1 trials. ML4H@NeurIPS 2023: 307-322 - Aishwarya Mandyam, Andrew Jones, Jiayu Yao, Krzysztof Laudanski, Barbara E. Engelhardt:
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations. ML4H@NeurIPS 2023: 323-339 - Dominik Meier, Ipek Ensari, Stefan Konigorski:
Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials. ML4H@NeurIPS 2023: 340-352 - Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar:
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS 2023: 353-367 - Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner:
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction. ML4H@NeurIPS 2023: 368-384 - Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell:
Interpretable Survival Analysis for Heart Failure Risk Prediction. ML4H@NeurIPS 2023: 574-593 - Dang Nguyen, Chacha Chen, He He, Chenhao Tan:
Pragmatic Radiology Report Generation. ML4H@NeurIPS 2023: 385-402 - Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen:
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. ML4H@NeurIPS 2023: 403-427 - Arina Odnoblyudova, Caglar Hizli, St John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen:
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. ML4H@NeurIPS 2023: 428-444 - Xueqiao Peng, Jiaqi Xu, Xi Chen, Dinh Song An Nguyen, Andrew Perrault:
Using Reinforcement Learning for Multi-Objective Cluster-Level Optimization of Non-Pharmaceutical Interventions for Infectious Disease. ML4H@NeurIPS 2023: 445-460 - Onur Poyraz, Pekka Marttinen:
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series. ML4H@NeurIPS 2023: 461-479 - Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao:
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. ML4H@NeurIPS 2023: 480-497
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